| Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia P Feng, B Wang, D Li Liu, Q Yu Agricultural Systems 173, 303-316, 2019 | 226 | 2019 |
| Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique P Feng, B Wang, D Li Liu, C Waters, D Xiao, L Shi, Q Yu Agricultural and Forest Meteorology 285, 107922, 2020 | 193 | 2020 |
| Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs N Yao, L Li, P Feng, H Feng, D Li Liu, Y Liu, K Jiang, X Hu, Y Li Science of the Total Environment 704, 135245, 2020 | 189 | 2020 |
| Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios D Xiao, D Li Liu, B Wang, P Feng, H Bai, J Tang Agricultural Water Management 238, 106238, 2020 | 187 | 2020 |
| Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia P Feng, B Wang, D Li Liu, C Waters, Q Yu Agricultural and Forest Meteorology 275, 100-113, 2019 | 186 | 2019 |
| Tomato yield and water use efficiency change with various soil moisture and potassium levels during different growth stages J Liu, T Hu, P Feng, L Wang, S Yang PloS one 14 (3), e0213643, 2019 | 100 | 2019 |
| Multi‐model ensemble of CMIP6 projections for future extreme climate stress on wheat in the North China Plain H Bai, D Xiao, B Wang, DL Liu, P Feng, J Tang International Journal of Climatology 41, E171-E186, 2021 | 97 | 2021 |
| Impacts of rainfall extremes on wheat yield in semi-arid cropping systems in eastern Australia P Feng, B Wang, DL Liu, H Xing, F Ji, I Macadam, H Ruan, Q Yu Climatic change 147, 555-569, 2018 | 88 | 2018 |
| Sources of uncertainty for wheat yield projections under future climate are site-specific B Wang, P Feng, DL Liu, GJ O’Leary, I Macadam, C Waters, S Asseng, ... Nature Food 1 (11), 720-728, 2020 | 80 | 2020 |
| Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China L Li, B Wang, P Feng, H Wang, Q He, Y Wang, D Li Liu, Y Li, J He, H Feng, ... Agricultural and Forest Meteorology 308, 108558, 2021 | 79 | 2021 |
| China can be self-sufficient in maize production by 2030 with optimal crop management N Luo, Q Meng, P Feng, Z Qu, Y Yu, DL Liu, C Müller, P Wang Nature Communications 14 (1), 2637, 2023 | 78 | 2023 |
| Crop traits enabling yield gains under more frequent extreme climatic events H Yan, MT Harrison, K Liu, B Wang, P Feng, S Fahad, H Meinke, R Yang, ... Science of the Total Environment 808, 152170, 2022 | 78 | 2022 |
| Developing machine learning models with multi-source environmental data to predict wheat yield in China L Li, B Wang, P Feng, D Li Liu, Q He, Y Zhang, Y Wang, S Li, X Lu, C Yue, ... Computers and Electronics in Agriculture 194, 106790, 2022 | 75 | 2022 |
| Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain D Xiao, D Li Liu, B Wang, P Feng, C Waters Agricultural Systems 181, 102805, 2020 | 73 | 2020 |
| Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basin H Zhang, B Wang, D Li Liu, M Zhang, P Feng, L Cheng, Q Yu, D Eamus Journal of hydrology 573, 49-59, 2019 | 72 | 2019 |
| Future climate change projects positive impacts on sugarcane productivity in southern China H Ruan, P Feng, B Wang, H Xing, GJ O’Leary, Z Huang, H Guo, D Li Liu European Journal of Agronomy 96, 108-119, 2018 | 72 | 2018 |
| Climate change shifts forward flowering and reduces crop waterlogging stress K Liu, MT Harrison, SV Archontoulis, N Huth, R Yang, DL Liu, H Yan, ... Environmental Research Letters 16 (9), 094017, 2021 | 71 | 2021 |
| Optimizing planting date and supplemental irrigation for potato across the agro-pastoral ecotone in North China J Tang, J Wang, Q Fang, E Wang, H Yin, X Pan European Journal of Agronomy 98, 82-94, 2018 | 66 | 2018 |
| Future climate change impacts on grain yield and groundwater use under different cropping systems in the North China Plain D Xiao, D Li Liu, P Feng, B Wang, C Waters, Y Shen, Y Qi, H Bai, J Tang Agricultural Water Management 246, 106685, 2021 | 65 | 2021 |
| Designing wheat ideotypes to cope with future changing climate in South-Eastern Australia B Wang, P Feng, C Chen, D Li Liu, C Waters, Q Yu Agricultural Systems 170, 9-18, 2019 | 65 | 2019 |