2020s: 2025 / 2024 / 2023 / 2022 / 2021 / 2020
2010s: 2019 / 2018 / 2017 / 2016 / 2015 / 2014 / 2013 / 2012 / 2011 / 2010
2000s: 2009 / 2008 / 2007 / 2006 / 2005 / 2004 / 2003 / 2002 / 2001 / 2000
1990s: 1990s
指导和培养的学生：博士后 / 博士 / 硕士 / 悉尼科技大学(UTS)
Chen, B., Zhao, G.*, Tian, Q., Yao, L.J., Wu, G.H., Wang, J., Yu, Q.*, 2024. Climate-driven shifts in suitable areas of Alternaria leaf blotch (Alternaria mali Roberts) on apples: projections and uncertainty analysis in China. Agricultural and Forest Meteorology, 364: 110464. Impact Factor: 5.6
Deng, A.N., Xie, W.X., Chen, X.Y., Ran, H., Li, Q., Jiang, P.A., Javed, T., Yu, Q., Feng, H., Yao, N.*, Xu, M.Y.*, 2025. Drought evolution and driving mechanisms in the China-Pakistan economic corridor under a changing environment. Journal of Hydrology: Regional Studies, 58: 102263. Impact Factor: 4.7
Guo, L.P., Chen, F.S., Wang, B.*, Liu, D.L.*, Chen, X.L.*, Huang, H.S., Bai, H., Liao, K.T., Xia, Z.M., Xiang, K.Y., Li, L.C., Zheng, T.H., Yu, Q., 2025. Developing a multivariate drought index to assess drought characteristics based on the SWAT-Copula method in the Poyang Lake basin, China. Ecological Indicators, 170: 113123. Impact Factor: 7.0
He, J.Q., Jia, Y.L., Li, Y.*, Biswas, A., Feng, H., Yu, Q., Wu, S.F., Yang, G., Siddique, K.H.M., 2025. Regional-scale precision mapping of cotton suitability using UAV and satellite data in arid environments. Agricultural Water Management, 307: 109215. Impact Factor: 5.9
He, Q.S., Lu, C.Q.*, Cowie, A., Zhao, S.X., Liu, D.L., Yi, B., Shi, L.J., Zhang, S.W., Qiu, T.Y., Shi, Y., Huete, A., Siddique, K.H.M., Yu, Q., Li, L.C.*, 2025. Optimizing cover cropping application for sustainable crop production. npj Sustainable Agriculture, 3(1): 10.
Jiang, T.C., He, L., Feng, H., He, J.Q.*, Yu, Q.*, 2025. Understanding the impacts of extreme temperature and humidity compounds on winter wheat traits in China. Agricultural and Forest Meteorology. 362: 110354. Impact Factor: 5.6.
Li, L.C., He, Q.S., Harrison, M.T., Shi, Y., Feng, P.Y., Wang, B., Zhang, Y.J., Li, Y., Liu, D.L., Yang, G.J., Zhou, M.X., Yu, Q., Liu, K.*, 2025. Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change. Resources, Environment and Sustainability, 19: 100185. Impact Factor: 12.4
Liu, X.W., Bai, Q., Liang, K., Pei, M.T., Chen, J., Zhu, B., Yu, Q., Peng, C.H., Xing, F.*, Guo, L.*, 2025. Altered precipitation affects soil enzyme activity related to nitrogen and phosphorous but not carbon cycling: a meta-analysis. Journal of Environmental Management, 377: 124709. Impact Factor: 8.0
Niu, W.H., Luo, L., Shi, Y., Chai, C.Q., Wang, H.Y., Tian, Q., Jin, Y.Y., Kong, X.B., Yu, Q., Ren, L.S., Zhang, B.B.*, 2025. Impacts of “One Household One Plot” and “One Village Group One Plot” fragmentation consolidation models on cultivated land use transition from perspective of human-land system. Habitat International, 156: 103252. Impact Factor: 6.5
Tan, J.J., Zhang, H.W., Yao, N., Yu, Q.*, 2025. One-shot adaptation for cross-domain semantic segmentation in remote sensing images. Pattern Recognition, 162: 111390. Impact Factor: 7.0
Wang, Y.K., Yu, Q., Liu, Z.Q., Ren, W., Lu, X.L.*, 2025. A practical SIF-based crop model for predicting crop yields by quantifying the fraction of open PSII reaction centers (qL). Remote Sensing of Environment, 320: 114658. Impact Factor: 11.1
Xiang, K.Y.,, Wang, B.*, Liu, D.L.*, Chen, C., Ji, F., Yang, Y.M., Li, S.Y., Huang, M.X., Huete, A., Yu, Q., 2025. Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia. European Journal of Agronomy, 164: 127460. Impact Factor: 4.5
Yao, N., Wei, Y.N., Jiang, K.H., Liu, J., Li, Y.*, Ran, H., Javed, T., Feng, H., Yu, Q., He, J.Q.*, 2025. Nonlinear water stress response functions can improve the performance of the DSSAT-CERES-Wheat model under water deficit conditions. Agricultural Water Management, 307: 109235. Impact Factor: 5.9.
Yao, S.J., Wang, B.*, Liu, D.L.*, Li, S.Y., Ruan, H.Y., Yu, Q., 2025. Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022. European Journal of Agronomy, 164: 127519. Impact Factor: 4.5
Chen, F.H., Yang, X.Y.*, Yu, Q., Han, B., 2024. Quantifying the effects of diffuse photosynthetically active radiation on water use efficiency in different ecosystems. Agricultural and Forest Meteorology, 356: 110191. Impact Factor: 5.6
Chen, S., Feng, W.Z., He, L., Xiao, W., Feng, H., Yu, Q., Liu, J.D., He, J.Q.*, 2024. Parameterization of the Ångström–Prescott formula based on machine learning benefit estimation of reference crop evapotranspiration with missing solar radiation data. Hydrological Processes, 38(2): e15091. Impact Factor: 3.2
Gong, K.Y., Huang, Z., Qu, M.Y., He, Z.H., Chen, J.Q., Wang, Z., Yu, Q., Feng, H., He, J.Q.*, 2024. Influences of climate change on carbon and water fluxes of the ecosystem in the Qinling Mountains of China. Ecological Indicators, 166: 112504. Impact Factor: 7.0
He, Q.S., Liu, D.L.*, Wang, B.*, Wang, Z.K., Cowie, A., Simmons, A., Xu, Z.C., Li, L.C., Shi, Y., Liu, K., Harrison, M.T., Waters, C., Huete, A., Yu, Q.*, 2024. A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability. Resources, Conservation & Recycling, 203: 107428. Impact Factor: 13.2
He, Z.H., Gong, K.Y., Qu, M.Y., Ru, X.Y., Chen, S., Jiang, T.C., Zhang, J., Feng, H., Yu, Q., He, L., He, J.Q.*, 2024. Clarifying the impacts of climatic coupling on plastic-mulching potato production in the loess plateau of China. Agricultural Systems, 221: 104140. Impact Factor: 6.1
Hu, Z.H., Marcos Fernandez-Martinez, He, Q.S., Xu, Z.Y., Jiang, L., Zhou, G.Y., Chen, J., Nie, M., Yu, Q., Feng, H., Huang, Z.Q., Michaletz, S.T., 2024. Fungal composition associated with host tree identity mediates nutrient addition effects on wood microbial respiration. Ecology, 105(8): e4375. Impact Factor: 4.4
Kang, X.F., Wu, D.R.*, Tan, J.J., Wang, P.J., Ma, Y.P., Yang, J.Y., Wang, C.Y., Huo, Z.G., Tian, Q., Yu, Q.*, 2024. Performance of nine maize phenology models in China under historical climate change conditions. Agricultural and Forest Meteorology. 358: 110234. Impact Factor: 5.6
Li, C.C., Zhang, X.Z., Guo, J.P., Yu, Q.*, Zhang, Y.Q.*, 2024. Decadal variation and trend of boundary layer height and possible contribution factors in China. Agricultural and Forest Meteorology, 347: 109910. Impact Factor: 5.6
Liang, C.T., Liu, X.Q., Feng, L., Jin, N., Lv, J.L., Yu, Q.*, 2024. Optimizing Phosphorus Fertilizer Use on the Loess Plateau Impact on Soil Properties and Crop Production Efficiency. Soil Systems. 8(1): 3. Impact Factor: 3.5
Liang, C.T., Liu, X.Q., Lv, J.L., Zhao, F.L.*, Yu, Q.*, 2024. The impact of different phosphorus fertilizers varieties on yield under wheat-maize rotation coditions. Agronomy. 14(6): 1317. Impact Factor: 3.3
Liu, J.C.*, Guo, Y.J., Yang, J.T., Zhu, N.N., Dai, W.X., Yu, Q., 2024. Forest point cloud registration: a review. Forestry Research, 4: e018.
Liu, J.D., Du, J., Wang, F.*, Liu, D.L., Tang, J.H., Lin, D.W., Tang, Y.H., Shi, L.J., Yu, Q., 2024. Optimal methods for estimating shortwave and longwave radiation to accurately calculate reference crop evapotranspiration in the high-altitude of Central Tibet. Agronomy, 14(10): 2401. Impact Factor: 3.3
Liu, Y.D., Li, H.M., Zhu, L., Chen, B., Li, M.R., He, H.J., Zhou, H., Wang, Z., Yu, Q.*, 2024. Revealing cropping intensity dynamics using high-resolution imagery: a case study in Shaanxi Province, China. Remote Sensing, 16(20): 3832. Impact Factor: 4.2
Liu, Z.Q., Guo, C.H., Yu, Q., Zhu, P., Peng, X.B., Dong, M.Q., Cai, H.J., Lu, X.L.*, 2024. A SIF-based approach for quantifying canopy photosynthesis by simulating the fraction of open PSII reaction centers (qL). Remote Sensing of Environment, 305: 114111. Impact Factor: 13.5
Niu, B., Li, Y.*, Liu, D.L., Xie, L.L., Wang, L., Jiang, X.H., Feng, H., Yu, Q., He, J.Q., Lin, H.X., 2024. Improved identification and monitoring of meteorological, agricultural, and hydrological droughts using the modified nonstationary drought indices in the Yellow River Basin of China. Journal of Hydrology, 643: 131788. Impact Factor: 5.9
Qi, X.Y., Yang, G., Li, Y.*, Hou, Z.N., Shi, P.H., Wang, S.B., Wang, X.F., Liang, J.P., Sun, B.H., Siddique, K.H.M., Wu, S.F., Feng, H., Tian, X.H., Yu, Q., Xie, X.W., 2024. Optimizing biochar application rates for improved soil chemical environments in cotton and sugarbeet fields under trickle irrigation with plastic mulch. Soil and Tillage Research, 235: 105893. Impact Factor: 6.5
Shi, Y., Li, L.C., Wu, B.Y., Zhang, Y.J., Wang, B., Niu, W.H., He, L., Jin, N., Pan, S.F., Tian, H.Q.*, Yu, Q.*, 2024. Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea. Science of the Total Environment, 946: 174227. Impact Factor: 8.2
Tan, J.J., Zhao, G.*, Tian, Q., Zheng, L., Kang, X.F., He, Q.S., Shi, Y., Chen, B., Wu, D.R., Yao, N., He, L., Srivastava, A.K., Li, Y., He, J.Q., Feng, H., Yu. Q.*, 2024. Overcoming mechanistic limitations of process-based phenological models: a data clustering method for large-scale applications. Agricultural and Forest Meteorology. 356: 110167. Impact Factor: 5.6
Tian, Q., Zhao, G.*, Yan, C.Q., Yao, L.J., Qu, J.J., Yin, L., Feng, H., Yao, N., Yu, Q.*, 2024. Enhancing practicality of deep learning for crop disease identification under field conditions: Insights from model evaluation and crop-specific approaches. Pest Management Science, 80(11):5864-5875. Impact Factor: 3.8
Wang, B.*, Jagermeyr, J., OLeary, G., Wallach, D., Ruane, A.C., Feng, P.Y., Li, L.C., Liu, D.L., Waters, C., Yu, Q., Asseng, S.*, Rosenzweig, C., 2024. Pathways to indentify and reduce uncertainties in agricultural climate impact assessments. Nature Food, 5(7):550-556. Impact Factor: 23.6
Wang, B.*, Li, L.C., Feng, P.Y., Chen, C., Luo, J.J., Tascgetti, A.S., Harrison, M.T., Liu, K., Liu, D.L., Yu, Q., Guo, X.W.*, 2024. Probabilistic analysis of drought impact on wheat yield and climate change implications. Weather and Climate Extremes, 45: 100708. Impact Factor: 6.1
Wang, X.F., Li, Y.*, Biswas, A., Sang, H.H., He, J.Q., Yu, Q., Feng, H., Siddique, K.H.M., 2024. Modeling soil water and salt dynamics in cotton-sugarbeet intercropping and their monocultures with biochar application. Soil & Tillage Research, 240: 106070. Impact Factor: 6.5
Wu, D.R., Gao, J., Wang, P.J., Yang, J.Y., Ma, Y.P., Huo, Z.G., Yu, Q.*, 2024. The necessity of coupling the legacy effect with temperature response in crop phenology models. Global Planetary Change. 240: 104545. Impact Factor: 4.0
Yan, C.Q., Liang, Z.Y., Yin, L., Wei, S.M., Tian, Q., Li, Y., Cheng, H., Liu, J.D., Yu, Q., Zhao, G.*, Qu, J.J.*, 2024. AFM-YOLOv8s: An accurate, fast and highly robust model for detection of sporangia of Plasmopara viticola with various morphological variants. Plant Phenomics, 6: 0246. Impact Factor: 7.6
Yang, J.J., Lu, X.L., Liu, Z.Q., Tang, X.H., Yu, Q.*, Wang, Y.F.*, 2024. Atmospheric drought dominates changes in global water use efficiency. Science of the Total Environment, 934: 173084. Impact Factor: 9.8
Yang, J.J., Liu, Z.Q., Yu, Q., Lu, X.L.*, 2024. Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 303: 113998. Impact Factor: 13.5
You, S.Y., Shi, H.*, Lun, F., Bian, Z.H., Wang, S.Q., Yu, Z., Yu, Q., Yao, Y.Z., 2024. Evaluation of gridded cropland phosphorus budget and use efficiency in China. Journal of Environmental Management, 370: 122974. DOI:10.1016/j.jenvman.2024.122974. Impact Factor: 8.0
姚宁*, 蒋昆昊, 谢文馨, 张东彦, 杨晓娟, 于强. 气候变化背景下山西省气象干旱时空演变特征. 农业机械学报, 2024, 55(1): 270-281 Yao, N., Jiang, K.H., Xie, W.X., Zhang, D.Y., Yang, X.J., Yu, Q., Temporal and spatial evolution of drought disasters in Shaanxi Province under background of climate change. Transactions of the Chinese Society for Agricultural Machiner, 2024, 55(1): 270-281
Chai, C.Q., Zhang, B.B.*, Li, Y.Y., Niu, W.H., Zheng, W.W., Kong, X.B., Yu, Q., Zhao, M.J., Xia, X.L., 2023. A new multi-dimensional framework considering environmental impacts to assess green development level of cultivated land during 1990 to 2018 in China. Environmental Impact Assessment Review, 98: 106927. Impact Factor: 7.9
Fang, N.F., Zeng, Y., Ran, L.S., Wang, Z., Lu, X.X.*, Wang, Z.G., Yang, X.K., Jian, J.S., Yu, Q., Ni, L.S., Liu, C., Yue, C., Shi, Z.H.*, 2023. Substantial role of check dams in sediment trapping and carbon sequestration on the Chinese Loess Plateau. Communications Earth & Environment, 4(1): 65. Impact Factor: 7.9
Guo, L.*, Liu, X.W., Alatalo, J.M., Wang, C.Y., Xu, J.C., Yu, H.Y., Chen, J., Yu, Q.*, Peng, C.H.*, Dai, J.H.*, Luedeling, E., 2023. Climatic drivers and ecological implications of variation in the time interval between leaf-out and flowering. Current Biology, 33(6): 3338-3349. Impact Factor: 9.2
Guo, Y.J., Liu, J.C.*, Yang, X., Gao, C., Yu, Q., 2023. A new decision-making method for the renewal of agricultural irrigation wells: a case study of Songzhuang town, Tongzhou District, Beijing. Ecological Informatics, 78: 102316. Impact Factor: 5.1
He, Q.S., Liu, D.L.*, Wang, B.*, Cowie, A., Simmons, A., Waters, C., Li, L.C., Feng, P.Y., Li, Y., de Voil, P., Huete, A., Yu, Q.*, 2023. Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change. Agriculture, Ecosystems & Environment, 353: 108536. Impact Factor: 6.6
Jia, Q.L., Liu, Z.Q., Guo, C.H., Wang, Y.K., Yang, J.J., Yu, Q., Wang, J., Zheng, F.L., Lu, X.L.*, 2023. Relationship between photosynthetic CO2 assimilation and chlorophyll fluorescence for winter wheat under water deficit. Plants, 12: 3365. Impact Factor: 4.5
Jiang, T.C., Wang, B., Duan, X.N., Liu, D.L., He, J.Q., He, L., Jin, N., Feng, H., Yu, Q.*, 2023. Prioritizing agronomic practices and uncertainty assessment under climate change for winter wheat in the Loess Plateau, China. Agricultural Systems, 212: 103770. Impact Factor: 6.6
Li, C.C., Yu, Q.*, Zhang, Y.Q.*, Ma, N., Tian, J., Zhang, X.Z., 2023. Dominant drivers for terrestrial water storage changes are different in northern and southern China. Journal of Geophysical Research – Atmospheres, 128: e2022JD038074. Impact Factor: 4.4
Li, L.C., Wang, B.*, Feng, P.Y., Jagermeyr, J., Asseng, S., Muller, C., Macadam, I., Liu, D.L.*, Waters, C., Zhang, Y.J., He, Q.S., Shi, Y., Chen, S., Guo, X.W., Li, Y., He, J.Q., Feng, H., Yang, G.J., Tian, H.Q., Yu, Q.*, 2023. The optimizing of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment, 4: 362. Impact Factor: 7.9
Li, L.C.#, Zhang, Y.#, Wang, B., Feng, P.Y., He, Q.S., Shi, Y., Liu, K., Harrison, M.T., Liu, D.L.*, Yao, N., Li, Y., He, J.Q., Feng, H., Siddique, K.H.M., Yu, Q.*, 2023. Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. European Journal of Agronomy, 149: 126917. Impact Factor: 5.2
Li, S.Y., Wang, B.*, Liu, D.L.*, Chen, C., Feng, P.Y., Huang, M.X., Wang, X.F., Shi, L.J., Waters, C., Huete, A., Yu, Q., 2023. Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in Southeastern Australia? European Journal of Agronomy, 153: 127030. Impact Factor: 5.2
Li, Y.*, Yao, N., Liang, J.P., Wang, X.F., Niu, B., Jia, Y.L., Jiang, F.C., Yu, Q., Liu, D.L., Feng, H., He, H.L., Yang, G., Pulatove, A., 2023. Rational biochar application rate for cotton nutrient uptake, growth, yields, productivity and economic benefits under file-mulched trickle irrigation. Agricultural Water Management, 276: 108079. Impact Factor: 6.7
Liu, J.D., Shen, Y.B.*, Zhou, G.S, Liu, D.L.*, Yu, Q., Du, J., 2023. Calibrating the Ångström-Prescott model with solar radiation data collected over long and short periods of time over the Tibetan Plateau. Energies, 16: 7093. Impact Factor: 3.2
Liu, X.W., Wang, Y.Q., Fu, W.H., Yuan, Z.Y., Yu, Q., Peng, C.H., Koerner, S., Guo, L.*, 2023. Growing season temperature and precipitation affect nutrient resorption in herbaceous species through foliar stoichiometric control strategies. Plant and Soil. 10.1007/s11104-023-06214-0 Impact Factor: 4.9
Ru, X.Y., Zhou, J., Gong, K.Y., He, Z.H., Dai, Z.W., Li, M.R., Feng, X.X., Yu, Q., Feng, H., He, J.Q.*, 2023. Climate warming may accelerate apple phenology but lead to divergent dynamics in late-spring frost and poor pollination risks in main apple production regions of China. European Journal of Agronomy, 150: 126945. Impact Factor: 5.2
Ru, X.Y., Huang, Z., Jiang, Y., Luo, Q., Feng, X.X., Wang, J.H., Wang, Z., Li, M.R., Qu, Z.J., Su, B.F., Feng, H., Zhang, D., Liu, D.L., Yu, Q., He, J.Q.*, 2023. Evaluating late spring frost risks of apple in the loess plateau of China under future climate change with phenological modelling approach. Scientia Horticulture, 308: 111604. Impact Factor: 4.3
Shi, L.J., Wang, B.*, Liu, D.L.*, Feng, P.Y., James Cleverly, Li, L.C., Zhang, G.X., Yu, Q.*, 2023. Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia. Journal of Hydrology: Regional Studies, 50: 101573. Impact Factor: 4.7
Wang, X.F., Li, Y.*, Feng, H., Yu, Q., Fan, X.Y., Liu, C.C., Chen, J.Y., Yang, Z., Biswas, A., 2023. Combined biochar with cotton-sugarbeet intercropping increased water-fertilizer productivity and economic benefits under plastic mulched drip irrigation in Xinjiang, China. Industrial Crops & Products, 192: 116060. Impact Factor: 5.9
Xiang, K.Y., Wang, B.*, Liu, D.L.*, Chen, C., Waters, C., Huete A., Yu, Q., 2023. Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia. Agricultural Water Management, 284: 108359. Impact Factor: 6.7
Zhang, Y.Q.*#, Li, C.C.#, Chiew F.H.S., Post D.A., Zhang, X.Z., Ma, N., Tian, J., Kong, D.D., Leung, L.R., Yu, Q., Shi, J.C., Liu, C.M., 2023. Southern Hemisphere dominates recent decline in global water availability. Science, 382: 579-584. Impact Factor: 56.9
闫雨杏, 吕肖良, 王亚凯, 于强*. 日光诱导叶绿素荧光研究进展:基于文献计量分析. 中国农业气象, 2023, 44(2): 106-122. Yan, Y.X., Lu, X.L., Wang, Y.K., Yu, Q.*, Bibliometric analysis of research and application of solor-induced chlorophyll fluorescence. Chinese Journal of Agrometeorology, 2023, 44(2): 106-122.
赵成, 梁盈盈, 冯浩, 王钊, 于强, 何建强*. 基于Sentinel-2遥感影像的黄土高原覆膜农田识别. 农业机械学报, 2023, 54(8): 180-192. Zhao, C., Liang, Y.Y., Feng, H., Wang, Z., Yu, Q., He, J.Q.*, 2023. Plastic-mulched farmland recognition in Loess Plateau on Sentinel-2 remote-sensing images. Transactions of the Chinese Society for Agricultural Machiner, 54(8): 180-192.
罗琦, 茹晓雅, 姜元, 冯浩, 于强, 何建强*. 基于机器学习与气象灾害指标的苹果相对气象产量预测. 农业机械学报, 2023, 54(9): 352-364. Luo, Q., Ru, X.Y., Jiang, Y., Feng, H., Yu, Q., He, J.Q.*, Prediction of apple relative meteorological yields based on machine learning and meteorological disaster indices. Transactions of the Chinese Society for Agricultural Machiner, 2023, 54(9): 352-364.
张志良, 和志豪, 茹晓雅, 蒋腾聪, 何英彬, 冯浩, 于强, 何建强*. 未来气候变化对中国哦马铃薯种植气候适宜性的影响. 中国农业科学, 2023, 56(18): 3530-3542. Zhang, Z.L., He, Z.H., Ru, X.Y., Jiang, T.C., He, Y.B., Feng, H., Yu, Q., He, J.Q.*, Influence of future climate change on the climate suitability of potato cultivation in China. Scientia Agricultura Sinica, 2023, 56(18): 3530-3542.
Chen, S.#, He, C.#, Huang, Z., Xu, X.J., Jiang, T.C., He, Z.H., Liu, J.D., Su, B.F.*, Feng, H., Yu, Q., He, J.Q.* 2022. Using support vector machine to deal with the missing of solar radiation data in daily reference evapotranspiration estimation in China. Agricultural and Forest Meteorology, 316: 108864. Impact Factor: 6.424
Chen, S., He, L.*, Dong, W.B., Li, R.T., Jiang, T.C., Li, L.C., Feng, H., Zhao, K.F., Yu, Q., He, J.Q.*, 2022. Weather records from recent years performed better than analogue years when merging with real-time weather measurements for dynamic within-season predictions of rainfed maize yield. Agricultural and Forest Meteorology, 315: 108810. Impact Factor: 6.424
Cheng, G., Harmel, R.D.*, Ma, L.W., Derner, J.D., Augustine, D.J., Bartling, P.N.S., Fang, Q.X., Williams, J.R., Zilverberg, C.J., Boone, R.B., Yu, Q.*, 2022. Evaluation of the APEX cattle weight gain component for grazing decision-support in the Western Great Plains. Rangeland Ecology & Management, 82: 1-11. Impact Factor: 2.398
Cheng, H.Y., Yuan, M.S., Tang, L., Shen, Y.F.*, Yu, Q., Li, S.Q., 2022. Integrated microbiology and metabolomics analysis reveal responses of soil microorganisms and metabolic functions to phosphorus fertilizer on semiarid farm. Science of the Total Environment, 817: 152878. Impact Factor: 10.753
Chu, X.S., Flerchinger, G.N., Ma, L.W., Fang, Q.X., Malone, R.W., Yu, Q., He, J.Q., Wang, N.J., Feng, H.*, Zou, Y.F., 2022. Development of RZ-SHAW for simulating plastic mulch effects on soil water, soil temperature, and surface energy balance in a maize field. Agricultural Water Management, 269: 107666. Impact Factor: 6.611
Dong, J.Q., Li, L.H.*, Li, Y.Z, Yu, Q.*, 2022. Inter-comparisons of mean, trend and interannual variability of global terrestrial gross primary production retrieved from remote sensing approach. Science of the Total Environment, 822: 153343. Impact Factor: 10.753
Feng, P.Y.*, Wang, B., Harrison, M., Wang, J., Liu, K., Huang, M.X., Liu, D.L., Yu, Q., Hu, K.L.*, 2022. Soil properties resulting in superior maize yields upon climate warming. Agronomy for Sustainable Development, 42(5): 85. Impact Factor: 7.832
Feng, P.Y.*, Wang, B.*, Macadam, I., Taschetto, A.S., Abram, N.J., Luo, J.J., King, A.D., Chen, Y., Li, Y., Liu, D.L., Yu, Q., Hu, K.M.*, 2022. Increasing dominance of Indian ocean variability impacts Australian wheat yields. Nature Food, 3(10): 862-870. Impact Factor: 20.430
He, J., Feng, P.Y., Wang, B., Zhuang, W., Zhang, Y.Q., Liu, D.L., Cleverly, J., Huete, A., Yu, Q.*, 2022. Centennial annual rainfall pattern changes show an increasing trend with higher variation over Northern Australia. Journal of Hydrometeorology, 23(8): 1333-1349. Impact Factor: 4.871
He, Q.S., Liu, D.L.*, Wang, B.*, Li, L.C., Cowie, A., Simmons, A., Zhou, H.X., Tian, Q., Li, S.E., Li, Y., Liu, K., Yan, H.L., Harrison, M.T., Feng, P.Y., Waters, C., Li, G.D., de Voil, P., Yu, Q.*, 2022. Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia. Agricultural Systems, 202: 103527. Impact Factor: 6.756
He, Z.H., Gong, K.Y., Zhang, Z.L., Dong, W.B., Feng, H., Yu, Q., He, J.Q.*, 2022. What is the past, present, and future of scientific research on the Yellow River Basin? —A bibliometric analysis. Agricultural Water Management, 262: 107404. Impact Factor: 6.611
He, Z.H., Jiang, T.C., Jiang, Y., Luo, Q., Chen, S., Gong, K.Y., He, L., Feng, H., Yu, Q., Tan, F.Y.*, He, J.Q.*, 2022. Gated recurrent unit models outperform other Machine learning models in prediction of minimum temperature in greenhouse Based on local weather data. Computers and Electronics in Agriculture, 202: 107416. Impact Factor: 6.757
Hu, Z.H., Song, X., Wang, M.H., Ma, J., Zhang, Y.L., Xu, H.J., Hu, Z.M., Zhu, X.Y., Liu, H.L., Ma, J., Yu, Q., Ostle, N.J., Li, Y.T.*, Yue, C.*, 2022. Aridity influences root versus shoot contributions to steppe grassland soil carbon stock and its stability. Geoderma, 413: 115744. Impact Factor: 7.422
Huang, M.X., Wang, J.*, Wang, B.*, Liu, D.L., Feng, P.Y., Yu, Q., Pan, X.B., Li, S.Y., Jiang, T.C., 2022. Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China. Agricultural Systems, 199: 103411. Impact Factor: 6.765
Jiang, T.C., Wang, B., Xu, X.J., Cao, Y.X., Liu, D.L., He, L., Jin, N., Ma, H.J., Chen, S., Zhao, K.F., Feng, H., Yu, Q., He, Y.B.*, He, J.Q.*, 2022. Identifying Sources of Uncertainty in Wheat Production Projections with Consideration of Crop Climatic Suitability under Future Climate. Agricultural and Forest Meteorology, 319: 108933. Impact Factor: 6.424
Jin, N., Tao, B., Ren, W., He, L.*, Zhang, D.Y.*, Wang, D.C., Yu, Q., 2022. Assimilating remote sensing data into a crop model improves winter wheat yield estimation based on regional irrigation data. Agricultural Water Management, 266: 107583. Impact Factor: 6.611
Leng, S., Huete, A.R., Cleverly, J., Gao, S.C., Yu, Q., Meng, X.Y., Qi, J.Y., Zhang, R.R., Wang, Q.F.*, 2022. Assessing the Impact of Extreme Droughts on Dryland Vegetation by Multi-satellite Solar-induced Chlorophyll Fluorescence. Remote Sensing, 14(7): 1581. Impact Factor: 5.349
Leng, S., Huete, A.R., Cleverly, J., Yu, Q., Zhang, R.R., Wang, Q.F.*, 2022. Spatiotemporal variations of dryland vegetation phenology revealed by satellite-observed fluorescence and greenness across the North Australian Tropical Transect. Remote Sensing, 14(13): 2985. Impact Factor: 5.349
Leng, S., Huete, A.R.*, Cleverly, J., Lu, X.L., Ma, X.L., Gao, S.C., Yu, Q., 2022. Response of dryland vegetation under extreme wet events with satellite measures of greenness and fluorescence. Science of the Total Environment, 842: 156860. Impact Factor: 10.753
Li, L.C., Wang, B.*, Feng, P.Y., Liu, D.L., He, Q.S., Zhang, Y.J., Wang, Y.K., Li, S.Y., Lu, X.L., Yue, C., Li, Y., He, J.Q., Feng, H., Yang, G.J.*, Yu, Q., 2022. Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture, 194: 106790. Impact Factor: 6.757
Li, J.G., Xie, Z.Y.*, Qiu, X.C., Yu, Q., Bu, J.W., Sun, Z.Y., Long, R.J., Brandis, K.J., He, J., Feng, Q., Ramp, D., 2022. Heavy metal habitat: a novel framework for mapping heavy metal contamination over large-scale catchment with a species distribution model. Water Research, 226: 119310. Impact Factor: 13.400
Li, S.Y., Wang, B.*, Feng, P.Y., Liu, D.L.*, Li, L.C., Shi, L.J., Yu, Q.*, 2022. Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt. Agricultural Systems, 196: 103340. Impact Factor: 6.765
Li, Y., Tang, J.Z., Wang, J.*, Zhao, G., Yu, Q., Wang, Y.X., Hu, Q., Zhang, J., Pan, Z.H., Pan, X.B., Xiao, D.P., 2022. Diverging water-saving potential across China's potato planting regions. European Journal of Agronomy, 134: 126450. Impact Factor: 5.722
Li, Y., Wang, J.*, Chen, R.W., Wang, E.L., Wang, B., Yu, Q., Hu, Q., Pan, Z.H., Pan, X.B., 2022. Climate-smart planting for potato to balance economic return and environmental impact across China. Science of the Total Environment, 850: 158013. Impact Factor: 10.753
Liu, J.D., Du, J.*, Liu, D.L., Linderholm, H.W., Zhou, G.S.*, Song, Y.L., Shen, Y.B., Yu, Q., 2022. Spatial and temporal variations in potential yields of highland barley in relation to climate change in tree rivers region of Tibetan Plateau from 1961 to 2020. Sustainability, 14: 7719. Impact Factor: 3.889
Liu, Z.Q., Zhao, F., Liu, X.J., Yu, Q., Wang, Y.F., Peng, X.B., Cai, H.J., Lu, X.L.*, 2022. Direct estimation of photosynthetic CO2 assimilation from solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 271: 112893. Impact Factor: 13.850
Shi, L.J., Feng, P.Y., Wang, B.*, Liu, D.L., Zhang, H., Liu, J.D.*, Yu, Q.*, 2022. Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections. Journal of Hydrology, 612: 128042. Impact Factor: 6.708
Shi, Y., Zhang, Y.J., Wu, B.Y., Wang, B., Li, L.C., Shi, H., Jin, N., Liu, D.L., Miao, R.Q., Lu, X.L., Geng, Q.L., Lu, C.Q., He, L., Fang, N.F., Yue, C., He, J.Q., Feng, H., Pan, S.F., Tian, H.Q.*, Yu, Q.*, 2022. Building social resilience in North Korea can mitigate the impacts of climate change on food security. Nature Food, 3(7): 499-511. Impact Factor: 20.430
Wang, B.*, Spessa, A., Feng, P.Y., Hou, X., Yue, C., Luo, J.J.*, Ciais, P., Waters, C., Cowie, A., Nolan, R., Nikonovas, T., Jin, H.D., Walshaw, H., Wei, J.H., Liu, D.L., Yu, Q.*, 2022. Extreme fire weather is the major driver of severe bushfires in southeast Australia. Science Bulletin, 67(6): 655-664. Impact Factor: 20.557
Wang, T.X., Li, N., Li, Y.*, Lin, H.X., Yao, N., Chen, X.G., Liu, D.L., Yu, Q., Feng, H., 2022. Impact of climate variability on grain yields of spring and summer maize. Computers and Electronics in Agriculture, 199: 107101. Impact Factor: 6.757
Wang, Y.F.#, Zou, Y.F.#, Cai, H.J.*, Zeng, Y.J., He, J.Q., Yu, L.Y., Zhang, C., Saddique, Q., Peng, X.B., Siddique, K.H.M., Yu, Q., Su, Z.B., 2022. Seasonal variation and controlling factors of the evapotranspiration over a dry semi-humid cropland in the Guanzhong Plain, China. Agricultural Water Management, 259: 107242. Impact Factor: 6.611
Wang, Y.K., Liu, Z.Q., Yu, Q., Liu, L.Y., Liu, X.J., Li, L.C., Jia, Q.L., Guo, C.H., Lu, X.L.*, 2022. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model. Computers and Electronics in Agriculture. 203: 107494. Impact Factor: 6.757
You, Y.F., Tian, H.Q.*, Pan, SF, Shi, H., Bian, ZH, Gurgel, A., Huang, YW, Kicklighter, D., Liang, X.Z., Lu, C.Q., Melillo, J., Miao, R.Q., Pan, N.Q., Reilly, J., Ren, W., Xu, R.T., Yang, J., Yu, Q., Zhang, J.T., 2022. Incorporating dynamic crop growth processes and management practices into a terrestrial biosphere model for simulating crop production in US: toward a scalable agricultural modelling framework. Agricultural and Forest Meteorology. 325: 109144. Impact Factor: 6.424
Zhang, B.B., Li, X., Chen, H.B.*, Niu, W.H.*, Kong, X.B.*, Yu, Q., Zhao, M.J., Xia, X.L., 2022. Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity. Land Use Policy, 117: 106080. Impact Factor: 6.189
Zhang, H., Wang, B., Liu, D.L.*, Leslie, L.M., Shi, L.J., Zhang, M.X., Yu, Q.*, 2022. Individual and coupled effects of future climate and land use scenarios on water balance components in an Australian catchment. Atmosphere, 13(9): 1428. Impact Factor: 3.110
Zhang, M.X., Rossel, R.A.V., Zhuqing, G.Z., Leys, J., Gray, J.M., Yu, Q., Yang, X.H.*, 2022. Dynamic modelling of water and wind erosion in Australia over the past two decades. Remote Sensing, 14(21): 5437. Impact Factor: 5.349
Zhang, M.X., Yang, X.H., Cleverly, J., Huete, A., Zhang, H., Yu, Q.*, 2022. Heat wave tracker: a multi-method, multi-source heat wave measurement toolkit based on Google Earth Engine](http://papers.agrivy.com/webfiles/papers/2022-EMR-ZHANG-MINGXI.pdf). Environmental Modelling & Software, 147: 105255. Impact Factor: 5.471
Zhang, Q.Y., Jia, X.X., Li, T.C., Shao, M.A., Yu, Q., Wei, X.R.*, 2022. Intensification of water storage deficit in topsoil but not deep soil in a semi-humid forest after excluding precipitation for two years. Journal of Hydrology. 605: 127374. Impact Factor: 6.708
Zeng, Y., Ran, L.S., Fang, N.F.*, Wang, Z., Xu, Z.C., Lu, X.X., Yu, Q., Wang, L., Yu, S.X., Shi, Z.H.*, 2022. How to balance green and grain in marginal mountainous areas? Earth's Future, 10(5): e2021EF002552. Impact Factor: 8.852
曹银轩, 黄卓, 徐喜娟, 陈上, 王钊, 冯浩, 于强, 何建强*. 黄土高原植被日光诱导叶绿素荧光对气象干旱的响应. 应用生态学报, 2022, 33(2): 457-466. Cao, Y.X., Huang, Z., Xu, X.J., Chen, S., Wang, Z., Feng, H., Yu, Q., He, J.Q.*, 2022. Response of vegetation photosynthesis to meteorological drought in loess Plateau based on SIF and SPEI. Chinese Journal of Applied Ecology, 33(2): 457-466.
康晓凤, 邬定荣*, 田琪, 谭姣姣, 马玉平, 于强*. 玉米发育模式在我国主要产区的适用性比较研究. 中国生态农业学报, 2022, 30(9): 1477-1489. Kang, X.F., Wu, D.R.*, Tian, Q., Tan, J.J., Ma, Y.P., Yu, Q.*, 2022. Comparison of applicability of phenological models in the main maize production areas of China. Chinese Journal of Eco-Agriculture, 30(9): 1477-1489.
徐芳, 何建强*, 朱晓华, 徐喜娟, 冯浩, 于强. 利用APSIM模型评估播期和种植密度对关中玉米气候生产力的影响. 陕西气象, 2022, 1: 59-65.
黄卓, 曹银轩, 徐喜娟, 陈上, 冯浩, 王钊, 于强, 何建强*. 基于多源GPP和ET品的秦岭生态系统水分利用效率研究. 水土保持学报, 2022, 36(05): 181-194. Huang, Z., Cao, Y.X., Xu, X.J., Chen, S., Feng, H., Wang, Z., Yu, Q., He, J.Q.*, 2022. Study on the ecosystem water use efficiency of the Qinling Mountains with multi-source GPP and RT products. Journal of Soil and Water Conservation, 36(05): 181-194.
孙欣琪, 张蚌蚌, 柴朝卿, 牛文浩, 于强*. 沙地整治下榆林土地利用及土壤有机质时空分异特征. 农业工程学报, 2022, 38(24): 207-217. Sun, X.Q., Zhang, B.B., Chai, C.Q., Niu, W.H., Yu, Q.*, 2022. Spatial-temporal and characteristics of land use and soil organic matter under sandy land remediation in Yulin City of China. Transactions of the Chinese Society of Agricultural Engineering, 38(24): 207-217.
姜元, 茹晓雅, 罗琦, 李美荣, 王钊, 王景红, 冯浩, 张东, 苏宝峰, 于强, 何建强*, 基于Copula函数的陕西苹果晚霜冻特征分析. 农业工程学报, 2022, 38(23): 170-180. Jiang, Y., Ru, X.Y., Luo, Q., Li, M.R., Wang, Z., Wang, J.H., Feng, H., Zhang, D., Su, B.F., Yu, Q., He, J.Q.*, Analysis of the characteristics of apple later frost risks in Shaanix Province based on Copula functions. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(23): 170-180.
Chen, S., He, L., Cao, Y.X, Wang, R.H., Wu, L.H., Wang, Z, Zou, Y.F., Siddique, K.H.M., Xiong, W., Feng, H., Yu, Q., Wang, X.M.*, He, J.Q.*, 2021. Comparisons among four different upscaling strategies for cultivar genetic parameters in spring wheat phenology simulations with the DSSAT-CERES-Wheat model. Agricultural Water Management, 258: 107181. Impact Factor: 4.516
Cheng, G., Harmel, R.D.*, Ma, L.W., Derner, J.D., Augustine, D.J., Bartling, P.N.S., Fang, Q.X., Williams, J.R., Zilverberg, C.J., Boone, R.B., Hoover, D., Yu, Q.*, 2021. Evaluation of APEX modifications to simulate forage production for grazing management decision-support in the Western US Great Plains. Agricultural Systems, 191: 103139. Impact Factor: 5.370
Gan, R., Zhang, L., Yang, Y.T., Wang, E.L., Woodgate, W., Zhang, Y.Q.*, Haverd, V., Kong, D.D., Fischer, T., Chiew, F., Yu, Q.*, 2021. Estimating ecosystem maximum light use efficiency based on the water use efficiency principle. Environmental Research Letters, 16: 104032. Impact Factor: 6.793
Gu, C.J., Tang, Q.H.*, Zhu, G.F., Ma, J.Z., Gu, C.L., Zhang, K., Sun, S., Yu, Q., Niu, S.L., 2021. Discrepant responses between evapotranspiration- and transpiration-based ecosystem water use efficiency to interannual precipitation fluctuations. Agricultural and Forest Meteorology, 303: 108385. Impact Factor: 5.734
Huang, M.X., Wang, J.*, Wang, B., Liu, D.L., Feng, P.Y., Yu, Q., Pan, X.B., Waters, C., 2021. Assessing maize potential to mitigate the adverse effects of future rising temperature and heat stress in China. Agricultural and Forest Meteorology, 311: 108673. Impact Factor: 5.734
Li, L.C., Wang, B., Feng, P.Y., Wang, H.H., He, Q.S., Wang, Y.K., Liu, D.L., Li, Y., He, J.Q., Feng, H., Yang, G.J.*, Yu, Q.*, 2021. Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China. Agricultural and Forest Meteorology, 308-309: 108558. Impact Factor: 5.734
Li, Y.Y., Dan, L.*, Peng, J., Wang, J.B., Yang, F.Q., Gao, D.D., Yang, X.J. and Yu, Q.*, 2021. Response of growing season gross primary production to El Niño in different phases of the pacific decadal oscillation over eastern China based on bayesian model averaging. Advances in Atmospheric Sciences, 38(9): 1580-1595. Impact Factor: 3.158
Liu, J.C., Khan, T.U., Nie, Z.G., Yu, Q.*, Feng, Z.K.*, 2021. Calibration and precise orientation determination of a gun barrel for agriculture and forestry work using a high-precision total station. Measurement, 173: 108494. Impact Factor: 3.927
Liu, J.L., Li, S.Q., Yue, S.C., Tian, J.Q., Chen, H.*, Jiang, H.B., Siddique, K.H.M., Zhan, A.*, Fang, Q.X., Yu, Q., 2021. Soil microbial community and network changes after long-term use of plastic mulch and nitrogen fertilization on semiarid farmland. Geoderma, 396: 115086. Impact Factor: 6.114
Liu, Z.Q., Guo, C.H., Bai, Y.W., Zhang, N.N., Yu, Q., Zhao, F., Lu, X.L.*, 2021. Far-red chlorophyll fluorescence radiance tracks photosynthetic carbon assimilation efficiency of dark reactions. Applied Sciences, 11(22): 10821. Impact Factor: 2.679
Ma, Q., Li, Y.*, Feng, H., Yu, Q., Zou, Y.F., Liu, F.G., Pulatov, B., 2021. Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China. Atmospheric Research, 249: 105304. Impact Factor: 5.369
Ning, J.C., Zhang, D.J.*, Yu, Q., 2021. Quantifying the efficiency of soil conservation and optimized strategies: A case study in a hotspot of afforestation in the Loess Plateau. Land Degradation & Development, 32(3): 1114-1126. Impact Factor: 4.977
Rong, L.B., Gong, K.Y., Duan, F.Y., Li, S.K., Zhao, M., He, J.Q., Zhou, W.B.*, Yu, Q.*, 2021. Yield gap and resource utilization efficiency of three major food crops in the world - a review. Journal of Integrative Agriculture, 20(2): 349-362. Impact Factor: 2.848
Wang, Y.F., Zeng, Y.J., Yu, L.Y., Yang, P.Q., der Tol, C.V., Yu, Q., Lu, X.L., Cai, H.J.*, Su, Z.B.*, 2021. Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0). Geoscientific Model Development, 14: 1379-1407. Impact Factor: 6.135
Xu, F.#, Wang, B.#, He, C., Liu, D.L., Feng, P.Y., Yao, N., Zhang, R.H., Xu, S.T., Xue, J.Q., Feng, H., Yu, Q., He, J.Q.*, 2021. Optimizing sowing date and planting density can mitigate the impacts of future climate on maize yield: a case study in the Guanzhong Plain of China. Agronomy, 11(8): 1452. Impact Factor: 2.259
Zhang, Q.Y., Jia, X.X., Li, T.C., Shao, M.A., Yu, Q., Wei, X.R.*, 2021. Decreased soil total phosphorus following artificial plantation in the Loess Plateau of China. Geoderma, 385(1): 114882. Impact Factor: 6.114
Zhang, W.J., Zhang, B.P., Zhu, W.B.*, Tang, X.L., Li, F.J., Liu, X.S., Yu, Q., 2021. Comprehensive assessment of MOD07-derived near-surface air temperature using wide elevation-spanned measurements in China. Science of the Total Environment, 800: 149535. Impact Factor: 7.963
Zhang, Y.J.*, Niu, H.S., Yu, Q., 2021. Impacts of climate change and increasing carbon dioxide levels on yield changes of major crops in suitable planting areas in China by the 2050s. Ecological Indicators, 125: 107588. Impact Factor: 4.958
Zhang, Y.J.*, Yu, Q., 2021. Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions? Agricultural and Forest Meteorology, 297: 108281. Impact Factor: 5.734
Zhang, Y.J., Yu, Q.*, Li, J.*, 2021. Bioenergy research under climate change: a bibliometric analysis from a country perspective. Environmental Science and Pollution Research, 28(21): 26427-26440. Impact Factor: 4.223
Zhang, Y.J.*, Zhao, J., Yan, Y.X., Shi, Y., Yu, Q.*, 2021. Relationship of population migration, crop production pattern, and socioeconomic development: Evidence from the early 21st century. Environmental Research Letters, 16(7): 074045. Impact Factor: 6.793
Zhao, C.S., Pan, X., Yang, S.T.*, Xiang, H., Zhao, J., Gan, X.J., Ding, S.Y., Yu, Q., Yang, Y., 2021. Standards for environmental flow verification. Ecohydrology, 14(1): e2252. Impact Factor: 2.843
Zhao, C.S., Pan, X., Yang, S.T.*, Xiang, H., Zhao, J., Gan, X.J., Ding, S.Y., Yu, Q., 2021. Effects and prediction of nonpoint source pollution on the structure of aquatic food webs. Ecohydrology, 14(1): e2257. Impact Factor: 2.843
Zhao, J., Wang, L.*, Hou, X., Li, G.Y., Tian, Q., Chan, E., Ciais, P., Yu, Q., Yue, C.*, 2021. Fire regime impacts on post-fire diurnal land surface temperature change over North American boreal forest. Journal of Geophysical Research – Atmospheres, 126(23): e2021JD035589. Impact Factor: 4.261
Zhu, T.T., Li, J.*, He, L., Wu, D.R., Tong, X.J., Mu, Q.Y., Yu, Q., 2021. The improvement and comparison of diffuse radiation models in different climatic zones of China. Atmospheric Research, 254: 105505. Impact Factor: 5.369
穆青云, 李俊*, 何亮, 邬定荣, 朱婷婷, 吕昌河, 于强. 青藏高原冬小麦生产潜力及其对气候变化的响应. 干旱区资源与环境, 2021, 35(7):92-99. Mu, Q.Y., Li, J.*, He, L., Wu, D.R., Zhu, T.T., Lu, C.H., Yu, Q., 2021. Potential yield of winter wheat in Qinghai-Tibet Plateau an its response to climate change. Journal of Arid Land Resources and Environment, 35(7):92-99.
孙梦华, 牛文浩, 张蚌蚌, 耿庆玲, 于强*. 黄河流域土地利用变化下生态服务价值时空演变及其响应—以陕甘宁地区为例. 应用生态学报, 2021, 32(11): 3913-3922. Sun, M.H., Niu, W.H., Zhang, B.B., Geng, Q.L., Yu, Q.*, 2021. Spatial-temporal evolution pattern and response of ecosystem service value under land use change in the Yellow River Basin: A case study of Shaanxi-Gansu-Ningxia region, Northwest China. Chinese Journal of Applied Ecology, 32(11): 3913-3922.
王欢欢, 赵杰, 岳超, 于强*. 黄土高原植被恢复对地表的冷却作用及变化规律. 水土保持学报, 2021, 35(3): 214-220. Wang, H.H., Zhao, J., Yue, C., Yu, Q.*, 2021. Cooling effect induced by afforestation on the Loess Plateau and its change law. Journal of Soil and Water Conservation, 35(3): 214-220.
王润红, 茹小雅, 蒋腾冲, 王景红, 王钊, 苏宝峰, 张东, 于强, 冯浩, 何建强*. 基于物候模型研究未来气候情景下陕西苹果花期的可能变化. 中国农业气象, 2021, 42(9): 729-745. Wang, R.H., Ru, X.Y., Jiang, T.C., Wang, J.H., Wang, Z., Su, B.F., Zhang, D., Yu, Q., Feng, H., He, J.Q.*, 2021. Based on the Phenological Model to Study the Possible Changes of Apple Flowering Dates under Future Climate Scenarios in Shaanxi Province. Chinese Journal of Agrometeorology, 42(9): 729-745.
Cheng, H.Y., Zhu, X.Z., Sun, R.X., Niu, Y.N, Yu, Q.*, Shen, Y.F.*, Li, S.Q., 2020. Effects of different mulching and fertilization on phosphorus transformation in upland farmland. Journal of Environmental Management, 253: 109717. Impact Factor: 5.647
Cheng, H.Y., Yuan, M.S., Duan, Q.Y., Sun, R.X., Shen, Y.F.*, Yu, Q., Li, S.Q., 2020. Influence of phosphorus fertilization patterns on the bacterial community in upland farmland. Industrial Crops & Products, 155: 112761. Impact Factor: 4.244
Chen, S., Jiang, T.C., Ma, H.J., He, C., Xu, F., Malone, R.W., Feng, H., Yu, Q., Siddique, K.H.M., Dong, Q.G., He, J.Q.*, 2020. Dynamic within-season irrigation scheduling for maize production in Northwest China: a method based on weather data fusion and yield prediction by DSSAT. Agricultural and Forest Meteorology, 285-286: 107928. Impact Factor: 4.651
Cleverly, J.*, Vote, C., Isaac, P., Ewenz, C., Harahap, M., Beringer, J., David I. Campbell, D.I., Daly, E., Eamus, D., He, L., Hunt, J., Grace, P., Hutley, L.B., Laubach, J., McCaskill, M., Rowlings, D., Jonker, S.R., Schipper, L.A., Schroder, I., Teodosio, B., Yu, Q., Ward, P.R., Walker, J.P., Webb J.A., Grover, S.P.P., 2020. Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand. Agricultural and Forest Meteorology, 287: 107934. Impact Factor: 4.651
Ding, W.B., Wang, F.*, Jin, K., Han, J.Q., Yu, Q., Ren, Q.F., Shi, S.Y., 2020. Individual rainfall change based on observed hourly precipitation records on the Chinese Loess Plateau from 1983 to 2012. Water, 12: 2268. Impact Factor: 2.544
Feng, P.Y., Wang, B.*, Liu, D.L.*, Waters, C., Xiao, D.P., Shi, L.J., Yu, Q.*, 2020. Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique. Agricultural and Forest Meteorology, 285-286: 107922. Impact Factor: 4.651
Feng, P.Y., Wang, B.*, Liu, D.L.*, Ji, F., Niu, X.L., Ruan, H.Y., Shi, L.J., Yu, Q.*, 2020. Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia. Environmental Research Letters, 15(8): 084051. Impact Factor: 6.096
Feng, P.Y., Wang, B.*, Luo, J.J., Liu, D.L., Water, C., Ji, F., Ruan, H.Y., Xiao, D.P., Shi, L.J., Yu, Q.*, 2020. Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. Science of the Total Environment, 724: 138162. Impact Factor: 6.551
Geng, Q.L., Ren, Q.F., Yan, H.M., Nolan, R.H., Li, L.H., Zhao, X.N., Mu, X.M., Wu, P.T., Yu, Q.*, 2020. Target areas for harmonizing the Grain for Green programme in China's Loess Plateau. Land Degradation & Development, 31(3): 325-333. Impact Factor: 3.775
He, C., Liu, J.D., Xu, F., Zhang, T., Chen, S., Sun, Z., Zheng, W.H., Wang, R.H., He, L., Feng, H., Yu, Q., He, J.Q.*, 2020. Improving solar radiation estimation in China base regional optimal combination of meteorological factors with machine learning methods. Energy Conversion and Management, 220: 113111. Impact Factor: 8.208
He, L.*, Jin, N., Yu, Q., 2020. Impacts of climate change and crop management practices on soybean phenology changes in China. Science of the Total Environment, 707: 135638. Impact Factor: 6.551
Huang, M.X., Wang, J.*, Wang, B., Liu, D.L., Yu, Q., He, D., Wang, N., Pan, X.B., 2020. Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming. Environmental Research Letters, 15: 024015. Impact Factor: 6.096
Jiang, T.C.#, Liu, J.#, Gao, Y.J.#, Sun, Z., Chen, S., Yao, N., Ma, H.J., Feng, H., Yu, Q., He, J.Q.*, 2020. Simulation of plant height of winter wheat under soil water stress using modified growth function. Agricultural Water Management, 232: 106066. Impact Factor: 4.021
Jiang, T.C.#, Dou, Z.H.#, Liu, J.#, Gao, Y.J., Malone, R.W., Chen, S., Feng, H., Yu, Q., Xue, G.N, He, J.Q.*, 2020. Simulating the influences of soil water stress on leaf expansion and senescence of winter wheat. Agricultural and Forest Meteorology, 291: 108061. Impact Factor: 4.651
Jin, N., He, J.Q., Fang, Q.X., Chen, C., Ren, Q.F., He, L., Yao, N., Song, L.B., Yu, Q.*, 2020. The responses of maize yield and water use to growth stage-based irrigation on the Loess Plateau in China. International Journal of Plant Production, 14(4): 621-633. Impact Factor: 1.169
Li, J.G., Li, Z.X.*, Brandis, K.J., Bu, J.W., Sun, Z.Y., Yu, Q., Ramp, D., 2020. Tracing geochemical pollutants in stream water and soil from mining activity in an alpine catchment. Chemosphere, 242: 125167. Impact Factor: 5.778
Li, C.C., Zhang, Y.Q.*, Shen, Y.J., Yu, Q., 2020. Decadal water storage decrease driven by vegetation changes in the Yellow River Basin. Science Bulletin, 65(22): 1859-1861. Impact Factor: 9.511
Liang, W.*, Zhang, W.B., Jin, Z., Yan, J.W., Lu, Y.H., Li, S., Yu, Q., 2020. Rapid urbanization and agricultural intensification increase regional evaporative water consumption of the Loess Plateau. Journal of Geophysical Research - Atmospheres, 125(23): e2020JD033380. Impact Factor: 3.820
Liu, Y.Y., Li, J.*, Liu, S.C., Yu, Q., Tong, X.J., Zhu, T.T., Gao, X.X., Yu, L.X., 2020. Sugarcane leaf photosynthetic light responses and their difference between varieties under high temperature stress. Photosynthetica, 58(4): 1009-1018. Impact Factor: 2.562
Ma, H.J., Malone, R.W., Jiang, T.C., Yao, N., Chen, S., Song, L.B., Feng, H., Yu, Q., He, J.Q.*, 2020. Estimating Crop Genetic Parameters for DSSAT with Modified PEST Software. European Journal of Agronomy, 115: 126017. Impact Factor: 3.726
Ma, X.L.*, Huete, A., Moore, C.E., Cleverly, J., Hutley, L.B., Beringer, J., Leng, S., Xie, Z.Y., Yu, Q., Eamus, D., 2020. Spatiotemporal partitioning of savanna plant functional type productivity along NATT. Remote Sensing of Environment, 246: 111855. Impact Factor: 9.085
Saddique, Q., Cai, H.J.*, Xu, J.T., Ajaz, A., He, J.Q., Yu, Q., Wang, Y.F., Chen, H., Khan, M.I., Liu, D.L., He, L., 2020. Analyzing adaptation strategies for maize production under future climate change in Guanzhong Plain, China. Mitigation and Adaptation Strategies for Global Change, 25: 1523-1543. Impact Factor: 3.230
Shen, J.X.*, Huete, A., Ma, X.L., Tran, N.N., Joiner, J., Beringer, J., Eamus, D., Yu, Q., 2020. Spatial pattern and seasonal dynamics of photosynthesis activity across Australian rainfed croplands. Ecological Indicators, 108: 105669. Impact Factor: 4.229
Shi, L.J., Feng, P.Y., Wang, B.*, Liu, D.L.*, Cleverly, J., Fang, Q.X., Yu, Q.*, 2020. Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: a case study in south-eastern Australia. Journal of Hydrology, 584: 124756. Impact Factor: 4.500
Shi, L.J., Feng, P.Y., Wang, B.*, Liu, D.L.*, Yu, Q.*, 2020. Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models. Journal of Hydrology,590: 125394. Impact Factor: 4.500
Shi, Y., Jin, N.*, Ma, X.L., Wu, B.Y, He, Q.S., Yue, C., Yu, Q.*, 2020. Attribution of climate and human activities to vegetation change in China using machine learning techniques. Agricultural and Forest Meteorology, 294: 108146. Impact Factor: 4.651
Sima, M., Fang, Q.X.*, Qi, Z.M., Yu, Q., 2020. Direct assimilation of measured soil water content in Root Zone Water Quality Model calibration for deficit-irrigated maize. Agronomy Journal, 112: 844-860. Impact Factor: 1.683
Song, Y., Wang, J.*, Yu, Q., Huang, J.X., 2020. Using MODIS LAI data to monitor spatio-temporal change of winter wheat phenology in response to climate warming. Remote Sensing, 12(5): 786. Impact Factor: 4.509
Wang, B.#, Feng, P.Y.#, Water, C., Cleverly, J., Liu, D.L., Yu, Q.*, 2020. Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia. Agricultural and Forest Meteorology, 291: 108043. Impact Factor: 4.651
Wang, B.*, Feng, P.Y., Liu, D.L.*, O’leary G.J., Macadam, I., Waters, C., Asseng, S., Cowie, A.L., Jiang, T.C., Xiao, D.P., Ruan, H.Y., He, J.Q., Yu, Q.*, 2020. Sources of uncertainty for wheat yield projections under future climate are site-specific. Nature Food, 1(11): 720-728
Wang, H.H., Yue, C.*, Mao, Q.Q., Zhao, J., Ciais, P., Li, W., Yu, Q., Mu, X.M., 2020. Vegetation and species impacts on soil organic carbon sequestration following ecological restoration over the Loess Plateau, China. Geoderma, 371: 114389. Impact Factor: 4.848
Wu, D.R., Wang, P.J., Jiang, Z.Y., Huo, Z.G., Shi, K.Q., Yang, Y., Yu, Q.*, 2020. Use of a plastic temperature response function reduces simulation error of crop maturity date by half. Agricultural and Forest Meteorology, 280: 107770. Impact Factor: 4.651
Wu, D.R., Huo, Z.G., Wang, P.J., Song, Y.L., Yang, J.Y., Zhao, H.R., Yang, Y., Yu, Q.*, 2020. Plastic temperature response function accurately simulates crop flowering/heading date in a simple and effective way. Agronomy Journal, 112(5): 3832-3846. Impact Factor: 1.683
Yang, X.H., Zhang, X.P.*, Lu, D., Yin, S.Q., Zhang, M.X., Zhuqing, G.Z., Yu, Q., 2020. Remote sensing estimation of the soil erosion cover-management factor over China’s Loess Plateau. Land Degradation & Development, 31(5): 1942-1955. Impact Factor: 3.775
Yao, N., Li, Y., Xu, F., Liu, J., Chen, S., Ma, H.J., Chau, H.W., Liu, D.L., Li, M., Feng, H., Yu, Q., He, J.Q.*, 2020. Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions. Agricultural Water Management, 229: 105954. Impact Factor: 4.021
Ye, Z.P., Ling, Y., Yu, Q., Duan, H.L., Kang, H.J., Huang, G.M., Duan, S.H., Chen, X.M., Liu, Y.G.*, Zhou, S.X.*, 2020. Quantifying light response of leaf-scale water-use efficiency and its interrelationships with photosynthesis and stomatall conductance in C3 and C4 species. Frontiers in Plant Science-Plant Physiology, 11: 374. Impact Factor: 4.402
Zhang, H., Wang, B.*, Liu, D.L.*, Zhang, M.X., Leslie, L.M.M, Yu, Q.*, 2020. Using an improved SWAT model to simulate hydrological responses to land use change: a case study of a catchment in tropical Australia. Journal of Hydrology, 585: 124822. Impact Factor: 4.500
Zhang, M.X., Wang, B., Cleverly, J., Liu, D.L., Feng, P.Y., Zhang, H., Huete, A., Yang, X.H.*, Yu, Q., 2020. Creating new near-surface air temperature datasets to understand elevation-dependent warming in the Tibetan Plateau. Remote Sensing, 12: 1722. Impact Factor: 4.509
Zhang, M.X., Wang, B., Liu, D.L., Liu, J.D., Zhang, H., Feng, P.Y., Kong, D.D., Cleverly, J., Yang, X.H., Yu, Q.*, 2020. Incorporating dynamic factors for improving a GIS-based solar radiation model. Transactions in GIS, 24(2): 423-441. Impact Factor: 2.119
Zhang, Q.Y., Jia, X.X., Wei, X.R., Shao, M.A., Li, T.C., Yu, Q.*, 2020. Total soil organic carbon increases but becomes more labile after afforestation in China’s Loess Plateau. Forest Ecology and Management, 461: 117911. Impact Factor: 3.170
Zhang, Y.J.* and Yu, Q., 2020. What is the best article publishing strategy for early career scientists? Scientometrics, 122: 397-408. Impact Factor: 2.867
Zhang, Y.J.* and Yu, Q.*, 2020. Characteristics of high-impact agronomic journals. Agronomy Journal, 112(5): 3878-3890. Impact Factor: 1.683
Zhang, Y.J.* and Yu, Q., 2020. Identification of current research intensity and influence factors of agricultural nitrogen loss from cropping systems. Journal of Cleaner Production, 276: 123308. Impact Factor: 7.246
Zhao, C.S., Yang, Y., Yang, S.T.*, Xiang, H., Ge, Y.R., Zhang, Z.S., Zhao, Y., Yu, Q., 2020. Effects of spatial variation in water quality and hydrological factors on environmental flows . Science of the Total Environment, 728: 138695. Impact Factor: 6.551
Zhao, F.N., Zhou, S., Wang, R.Y., Zhang, K., Wang, H., Yu, Q.*, 2020. Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions. Journal of Integrative Agriculture, 19(9): 2188-2205. Impact Factor: 1.984
Zhu, T.T., Li, J.*, Liu, Y.Y., Tong, X.J., Yu, Q., 2020. Leaf photosynthetic light response of summer maize: comparison of models and analysis of parameters. Photosynthetica, 58(1): 19-28. Impact Factor: 2.562
Zhuang, W., Shi, H., Ma, X.L., Cleverly, J., Beringer, J., Zhang, Y., He, J., Eamus, D., Yu, Q.*, 2020. Improving estimation of seasonal evapotranspiration in Australian tropical savannas using a Flexible Drought Index. Agricultural and Forest Meteorology, 295: 108203. Impact Factor: 4.651
ZhuQing, G.Z., Yang, X.H.*, Fei, J., Liu, D.L., Yu, Q., 2020. Extreme rainfall, rainfall erosivity and hillslope erosion in Australian Alpine region and their future changes. International Journal of Climatology, 40(2): 1213-1227. Impact Factor: 3.928
弓开元, 何亮, 邬定荣, 吕昌河, 李俊, 周文彬, 杜军, 于强*. 青藏高原高寒区青稞光温潜力和产量差时空分布特征及其对气候变化的响应. 中国农业科学, 2020, 53(4): 720-733. Gong, K.Y., He, L., Wu, D.R., Lu, C.H., Li, J., Zhou, W.B., Du, J., Yu, Q.*, 2020. Spatial-Temporal variations of photo-temperature productivity and yield gap of highland barley and its response to climate change in the cold regions of the Tibetan Plateau. Scientia Agricultura SINICA, 53(4): 720-733.
李凤, 李毅*, 于强, 彭艳, 姚宁, 冯浩, 宋小燕．1961-2019年陕西省极端旱涝事件的时空演变规律．陕西气象, 2020, 6: 23-29.
Yue, C.*, Ciais, P., Houghton, R.A., Nassikas, A.A., 2020. Contribution of use to the interannual variability of the land carbon cycle. Nature Communications, 11: 3170. Impact Factor: 12.121
Lu, X.L., Liu, Z.Q., Zhao, F., Tang, J.W.*, 2020. Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis. Remote Sensing of Environment, 251: 112083. Impact Factor: 9.085
Hu, Z.H., Chen, H.Y.H., Yue, C., Gong, X.Y., Shao, J.J., Zhou, G.Y., Wang, J.W., Wang, M.H., Xia, J.Y., Li, Y.T.*, Zhou, X.H.*, Michaletz, S.T., 2020. Traits mediate drought effects on wood carbon fluxes. Global Change Biology, 26: 3429-3442. Impact Factor: 8.997
姜朝阳(2003-2006), 论文题目: 农田生态系统界面传输过程的时间序列分析 Zhaoyang Jiang (2003- 2006), Thesis Title: Time Series Analysis of Transport Processes of Soil-Plant-Atmosphere Continuum
靳宁(2016-2019), 论文题目: 作物对灌溉活动的响应及灌溉遥感识别研究 Ning Jin (2016-2019), Thesis Title: Response of Crops to Irrigation and Identification of Irrigation Using Remote Sensing Data
耿庆玲(2016-2019), 论文题目: 黄土高原生态系统服务时空变化及对退耕还林的响应 Qingling Geng (2016-2019), Thesis Title: Spatial-temporal Changes of Ecosystem Services and its Response to the Grain for Green Programme on the Loess Plateau of China
张亚捷(2019-2021), 论文题目: 作物种植系统氮素流失的影响因素及研究现状分析 Yajie Zhang (2019-2021), Thesis Title: Identification of influence factors and research status of agricultural nitrogen loss from cropping systems - a global study from 2001-2015
王云菲(2020-2022), 论文题目: 能量-水-碳通量以及日光诱导叶绿素荧光耦合模型的构建与验证 Yunfei Wang (2020-2022), Thesis Title: Construction and validation of an coupled energy-water-carbon fluxes and solar-include chlorophyll fluorescence model
董佳琪(2020-2022), 论文题目: 陆地生态系统总初级生产力时空变化格局 Jiaqi Dong (2020-2022), Thesis Title: Spatio-temporal variations of terrestrial ecosystem gross primary production
张永强(2001-2004), 论文题目: 土壤-植被-大气系统水、热传输机理及区域蒸散模型 Yongqiang Zhang (2001- 2004), Thesis Title: Water and Heat Transfer Mechanics in the Soil-Plant-Atmosphere Continuum and Regional Evapotranspiration Model
邬定荣(2002-2006), 论文题目: 华北平原气象因子时空变异对作物产量和水分利用的影响 Dingrong Wu (2002-2006), Thesis Title: Effects of spatial and temporal variation of radiation, temperature and rainfall on the yield and evaportranspiration of winter wheat and summer maize in the North China Plain
王靖(2003-2006), 论文题目: 农田生态系统作物生长及水热, CO2传输实验与模拟研究 Jing Wang (2003-2006), Thesis Title: Study on the Experiment and Simulation of Crop Growth and Water, Heat and CO2 Transfer in the Agro-ecosystem
房全孝(2003-2006), 论文题目: 农田生态系统水, 氮行为及其产量和环境效应的试验与模拟 Quanxiao Fang (2003-2006), Thesis Title: Water and Nitrogen Behaviors and Their Effects on Crop Yield and Environment in Agro-ecosystem: Experiments and Modelling
李龙辉(2004-2008), 论文题目: 作物生长与发育的环境约束机制-试验, 模拟与应用 Longhui Li (2004-2008), Thesis Title: Environmental Constraints on Crop Growth and Development: Experiments, Simulation and Applications
陈超(2005-2009), 论文题目: 华北平原作物水分生产力-农田水平衡-气候波动/变化的系统分析 Chao Chen (2005-2009), Thesis Title: Response of Crop Water Productivity and Water Balance to Climate Variability / Change in the North China Plain
肖薇(2006-2009), 论文题目: 用SiLSM研究18O-H2O和18O-CO2交换的控制机制和敏感性 Wei Xiao (2006-2009), Thesis Title: Using a Simple Isotopic Land Surface Model (SiLSM) to Investigate the Controls and Sensitivity of Oxygen Isotopic CO2 and H2O Exchange
潘国艳(2006-2010), 论文题目: 黄淮海平原人工牧草生态系统主要特征研究-以禹城市为例 Guoyan Pan (2006-2010), Thesis Title: Main Ecological Characteristics of the Ecological System Forage Cultivars in Huang-Huai-Hai Plain – A Case Study from Yucheng City
邢洪涛(2006-2011), 论文题目: 农田土壤氧化亚氮排放,土壤厌氧呼吸对水氮动态的响应机制-试验与模拟 Hongtao Xing (2006-2011), Thesis Title: Response of Soil Heterotrophic Respiration and Nitrous Oxide to Soil Moisture and Mineral N Dynamics: Experiments and Modelling
李晓炜(2007-2011), 论文题目: 森林气象火险指数的区域适应性及其概率模型 Xiaowei Li (2007-2011), Thesis Title: Probability Models of Forest Fire Based on Risk Indices in Contrasting Climatic Zones over China
杨晓亚(2008-2012), 论文题目: 气候变化对中国典型地区小麦产量构成和水分利用的影响 Xiaoya Yang (2008-2012), Thesis Title: Effect of Climate Change on Wheat Yield Components and Water Use in Typical Regions of China
赵刚(2009-2013), 论文题目: 管理措施对农田生态系统水, 氮和碳过程的影响-区域尺度上模拟, 分析和评价 Gang Zhao (2009-2013), Thesis Title: Impact of Agriculture Management Practices on Water, Nitrogen and Carbon Processes in Agricultural Systems: Simulation and Evaluation at a Regional Scale
马轩龙(2009-2014), 论文题目: 基于遥感, 气象和通量数据的萨瓦纳植被物候研究 Xuanlong Ma (2009-2014), Thesis Title: Integrating Remote Sensing, Meteorology, and Eddy Flux Data to Study the Savanna Vegetation Phenology
郭利平(2010-2015), 论文题目: 作物叶片光合作用的生化模型评价与参数估计 Liping Guo (2010-2015), Thesis Title: Evaluation on Crop Biochemical Photosynthesis Models and Parameterization Strategies
何亮(2011-2015), 论文题目: 黄土高原冬小麦物候, 产量和水分利用对气候变化和 的响应 Liang He (2011-2015), Thesis Title: Responses of Phenology, Yield and Water Use of Winter Wheat to Climate Change and Variability on the Loess Plateau
庄伟(2012-2016), 论文题目: 北澳稀疏草原水碳通量控制因子分析及其模拟 Wei Zhuang (2012-2016), Thesis Title: Controlling Factor Analysis of Vegetation Water and Carbon Fluxes over Northern Australian Savannas and its Simulation
靳宁(2013-2016), 论文题目: 基于遥感-作物模型融合的黄土高原冬小麦生产力研究 Ning Jin (2013-2016), Thesis Title: Remote Sensing-Crop Model Fusion and Productivity Analysis for Winter Wheat
祖琴(2014-2018), 论文题目: 我国南方地区甘蔗产量差及其限制因素解析 Qin Zu(2014-2018), Thesis Title: The Yield Gaps and Constraint Factors of Sugarcane in Southern China
赵福年(2016-2020), 论文题目: 小麦水分限制的过程与产出约束特征分析 Funian Zhao (2016-2020), Thesis Title: Analysis of water deficit progress and constraint of output for wheat under water regulation
李悦悦(2015-2021), 论文题目: 植被总初级生产力对中国夏季风气候变化的响应特征 Yueyue Li (2015-2021), Thesis Title: The response of gross primary production to the summer monsoon climate change over eastern China
成功(2017-2021), 论文题目: 不同放牧模式对美国大平原地区牧草生长和肉牛生产的影响模拟与优化管理 Gong Cheng(2017-2021), Thesis Title: Simulation and optimization of different grazing management on forage growth and beef cattle production in the Great Plains of the United States
程红岩(2017-2022), 论文题目:旱作农田土壤微生物群落及代谢产物对磷肥管理的响应 Hongyan Cheng (2017-2022), Thesis Title:Response of soil microbial communities and metabolites to phosphorus fertilizer management in dryland farmland
李林超(2019-2023), 论文题目: 气候变化对作物生长和产量影响的模拟及不确定性研究 Linchao Li (2019-2023), Thesis Title: Crop growth and yield predictions and uncertainty analysis under climate change
王亚凯(2019-2023), 论文题目: 多尺度叶绿素荧光与光合干旱胁迫响应机理及作物模型融合方法 Yakai Wang (2019-2023), Thesis Title: Multi-scale chlorophyll fluorescence and photosynthesis response mechanisms to drought stress and integration methods with crop model
施宇(2018-2023), 论文题目: 极端天气事件对粮食生产的影响及其缓解途径—不同经济发展水平国家的案例分析 Yu Shi (2018-2023)，Thesis Title: Impact of extreme weather events on food production and their mitigation pathways: case studies from countries with varied economic development levels
杨晶晶(2020-2024), 论文题目: 基于日光诱导叶绿素荧光的全球植被对水碳循环响应研究 Jingjing Yang (2020-2024), Thesis Title: Global vegetation response to water-carbon cycle indicated by solar-induced chlorophyll fluorescence
李聪聪(2020-2024), 论文题目: 蒸散发和大气边界层高度对植被变化响应研究 Congcong Li (2020-2024), Thesis Title: Study on the response of evapotranspiration and atmospheric boundary layer height to vegetation change
杨彦武(2000-2003), 论文题目: 华北及华东局部主要气候资源要素的时空变异性研究 Yanwu Yang(2000-2003), Thesis Title: Spatial-temporal variability of main climatic resources in North and East China
王兴武(2001-2004), 论文题目: 鲁西北平原作物产量和土壤硝态氮动态研究 Xingwu Wang(2001-2004), Thesis Title: Study on crop yield and soil nitrate nitrogen dynamics in northwest Plain of Shandong Province
弓开元(2017-2020), 论文题目: 青藏高原青稞产量和光温生产潜力对气候变化的响应 Kaiyuan Gong(2017-2020), Thesis Title: Responnses of yield and photo-temperature potential productivity of highland barley to climate change in the Tibetan Plateau
王欢欢(2018-2021), 论文题目: 中国人工造林的地表温度效应及其归因 Huanhuan Wang(2018-2021), Thesis Title: Land surface temperature effect and its attribution analysis of afforestation in China
康晓凤(2019-2022), 论文题目: 气候变化下不同发育模式在东北和华北玉米产区的适用性比较研究 Xiaofeng Kang(2019-2022), Thesis Title: Applicability of phenological models in the main maize planting regions of Northeast and North China Plain under climate change
孙梦华(2019-2022), 论文题目: 供需平衡视角下“粮食-土地利用-水”的时空变化过程、匹配关系及优化调控 Menghua Sun(2019-2022), Thesis Title: The spatio-temporal variation, matching relationship, and regulation of food-land use- water nexus on perspective of supply and demand balance
闫雨杏(2020-2023), 论文题目: 基于日光诱导叶绿素荧光的植被冠层气孔导度模型研究 Yuxing, Yan(2020-2023), Thesis Title: Research on canopy conductance model based on solar-include chlorophyll fluorescence
孙欣琪(2021-2024), 论文题目: 黄河流域主要粮食作物水分供需时空格局与灌溉调节研究 Xinqi Sun(2021-2024), Thesis Title: Spatio-temporal pattern of water supply and demand of major crops in the Yellow River Basin and irrigation regulation study
Xueling Li (2016), Thesis Title: Ecological Compensation and Resource Management.
Bin Wang (2017), Thesis Title: Crop Modelling and Climate Change Adaptation.
Hao Shi (2017), Thesis Title: A Joint Analysis of Gross Primary Production and Evapotranspiration of Australia Using Eddy Covariance, Remote Sensing and Land Surface Modelling Approaches
Qianggaozi Zhu (2018), Thesis Title: Spatial Analysis of Drought Indices and Their Ecological Significance.
Rong Gan (2019), Thesis Title: Plant Physiological and Biophysical Regulations of Ecohydrological Processes in Response to Strong Climate Variability.
Puyu Feng (2019), Thesis Title: Modelling impacts of climate and weather extremes on wheat cropping systems across New South Wales.
Jie He (2019), Thesis Title: Influences of Rainfall Pattern Changes on Vegetation Dynamics of Savanna Ecosystems in Australia under Climate Change.
Jianxiu Shen (2019), Thesis Title: Evaluating the climatic impacts on dryland crop growth using multi-source datasets across Australia
Mingxi Zhang (2021), Thesis Title: Reconstruction of climate at high spatiotemporal resolution based on Big Earth data platform
Hong Zhang (2021), Thesis Title: Individual and coupled effects of future climate and land use scenarios on water balance components in Australia
Lijie Shi (2021), Thesis Title: Climate change impacts on potential evapotranspiration, drought, and runoff in eastern Australia
Song Leng (2021), Thesis Title: Spatiotemporal dynamics of dryland vegetation photosynthesis and greenness hydroclimatic extremes
Jianguo Li (2021), Thesis Title: The transport and accumulation processes of geochemical tracers in environmental compartments
Siyi Li (2024), Thesis Title: Modeling the impacts of compound dry and hot extremes on Australia's wheat
Feng, P.Y., Wang, B., Liu, D.L., Yu, Q., Hu, K.L., 2022. Chapter 8: Coupling Machine Learning with APSIM Model Improves the Evaluation of Climate Extremes Impact on Wheat Yield in Australia. In: 'Modelling Processes and Their Interactions in Cropping Sysatems: Challenges for the 21th Century. Advances in Agricultural Systems Modeling Series 10.' Eds. Lajpat R. Ahuja, Kurt C. Kersebaum, Ole Wendroth, DOI:10.1002/9780891183853
Eamus, D., Huete, A., Yu, Q., 2016. Vegetation Dynamics: A Synthesis of Plant Ecophysiology, Remote Sensing and Modelling. Cambridge University Press.
Ahuja, L.R., Reddy, V.R., Saseendran, S.A., Yu, Q., 2008. Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes. Advances in Agricultural Systems Modeling Series 1. sssa-asa-cssa Publication.
Ahuja, L.R., Saseendran, S.A., Reddy, V.R., Yu, Q., 2008. Chapter 14: Synthesis, actions, and further research to improve response of crop system models to water stress. In: ‘Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes. Advances in Agricultural Systems Modeling Series 1.’ Ed: Ahuja, L.R., Reddy, V.R., Saseendran, S.A., Yu, Q. (sssa-asa-cssa Publication)
Yu, Q., Flerchinger, G.N., 2008. Chapter 7: Combining Simultaneous Heat and Water (SHAW) with Photosynthesis Model to Simulate Water and CO2 Fluxes over Wheat Canopy. In: ‘Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes. Advances in Agricultural Systems Modeling Series 1.’ Ed: Ahuja, L.R., Reddy, V.R., Saseendran, S.A., Yu, Q. (sssa-asa-cssa Publication)
于强, 王靖. 2019. 农田微气象与作物生理生态模型, In: 高亮之等编，农业模型学，气象出版社