Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future G Leng, J Hall Science of The Total Environment, 2019 | 571 | 2019 |
Climate change impacts on meteorological, agricultural and hydrological droughts in China G Leng, Q Tang, S Rayburg Global and Planetary Change 126, 23-34, 2015 | 481 | 2015 |
The propagation from meteorological to hydrological drought and its potential influence factors S Huang, P Li, Q Huang, G Leng, B Hou, L Ma Journal of Hydrology 547, 184-195, 2017 | 396 | 2017 |
Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation Q Zhou, G Leng, J Su, Y Ren Science of the Total Environment 658, 24-33, 2019 | 360 | 2019 |
Projected impacts of climate change on drought patterns over East Africa GG Haile, Q Tang, SM Hosseini‐Moghari, X Liu, TG Gebremicael, G Leng, ... Earth's Future, e2020EF001502, 2020 | 267 | 2020 |
Propagation thresholds of meteorological drought for triggering hydrological drought at various levels Y Guo, S Huang, Q Huang, G Leng, W Fang, L Wang, H Wang Science of the Total Environment 712, 136502, 2020 | 182 | 2020 |
Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins FF Hattermann, V Krysanova, SN Gosling, R Dankers, P Daggupati, ... Climatic Change 141, 561-576, 2017 | 175 | 2017 |
Probabilistic assessment of remote sensing-based terrestrial vegetation vulnerability to drought stress of the Loess Plateau in China W Fang, S Huang, Q Huang, G Huang, H Wang, G Leng, L Wang, Y Guo Remote Sensing of Environment 232, 111290, 2019 | 170 | 2019 |
Crop yield response to climate change varies with crop spatial distribution pattern G Leng, M Huang Scientific Reports 7 (1), 1463, 2017 | 170 | 2017 |
Reconstruction of global gridded monthly sectoral water withdrawals for 1971-2010 and analysis of their spatiotemporal patterns Z Huang, M Hejazi, X Li, Q Tang, G Leng, Y Liu, P Döll, S Eisner, D Gerten, ... Hydrology and Earth System Sciences 22, 2117-2133, 2018 | 160 | 2018 |
Assessing agricultural drought risk and its dynamic evolution characteristics M Dai, S Huang, Q Huang, G Leng, Y Guo, L Wang, W Fang, P Li, ... Agricultural Water Management 231, 106003, 2020 | 150 | 2020 |
Propagation dynamics from meteorological to groundwater drought and their possible influence factors Z Han, S Huang, Q Huang, G Leng, H Wang, Q Bai, J Zhao, L Ma, L Wang, ... Journal of Hydrology 578, 124102, 2019 | 149 | 2019 |
The critical role of the routing scheme in simulating peak river discharge in global hydrological models F Zhao, TIE Veldkamp, K Frieler, J Schewe, S Ostberg, S Willner, ... Environmental Research Letters 12 (7), 075003, 2017 | 147 | 2017 |
Integrated index for drought assessment based on variable fuzzy set theory: a case study in the Yellow River basin, China S Huang, J Chang, G Leng, Q Huang Journal of Hydrology 527, 608-618, 2015 | 147 | 2015 |
Modeling the effects of groundwater-fed irrigation on terrestrial hydrology over the conterminous United States G Leng, M Huang, Q Tang, H Gao, LR Leung Journal of Hydrometeorology 15 (3), 957–972, 2014 | 147 | 2014 |
Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model S Huang, X Zheng, L Ma, H Wang, Q Huang, G Leng, E Meng, Y Guo Journal of Hydrology 584, 124687, 2020 | 146 | 2020 |
Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin. S Huang, Q Huang, J Chang, G Leng International Journal of climatology 36 (1), 2016 | 145 | 2016 |
The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China S Huang, Q Huang, J Chang, G Leng, L Xing Agricultural Water Management 159, 45-54, 2015 | 134 | 2015 |
Time-lagged response of vegetation dynamics to climatic and teleconnection factors J Zhao, S Huang, Q Huang, H Wang, G Leng, W Fang Catena 189, 104474, 2020 | 128 | 2020 |
Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models G Leng, JW Hall Environmental research letters: ERL [Web site] 15 (4), 044027, 2020 | 124 | 2020 |