| Attribution of climate and human activities to vegetation change in China using machine learning techniques Y Shi, N Jin, X Ma, B Wu, Q He, C Yue, Q Yu Agricultural and Forest Meteorology 294, 108146, 2020 | 131 | 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 | 81 | 2021 |
| 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 | 78 | 2022 |
| Simulation of water balance in a maize field under film-mulching drip irrigation Q He, S Li, S Kang, H Yang, S Qin Agricultural Water Management 210, 252-260, 2018 | 61 | 2018 |
| Performance assessment of the AquaCrop model for film-mulched maize with full drip irrigation in Northwest China Q He, S Li, D Hu, Y Wang, X Cong Irrigation Science 39, 277-292, 2021 | 20 | 2021 |
| Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change L Li, Y Zhang, B Wang, P Feng, Q He, Y Shi, K Liu, MT Harrison, D Li Liu, ... European Journal of Agronomy 149, 126917, 2023 | 18 | 2023 |
| Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia Q He, D Li Liu, B Wang, L Li, A Cowie, A Simmons, H Zhou, Q Tian, S Li, ... Agricultural Systems 203, 103527, 2022 | 17 | 2022 |
| The optimization of model ensemble composition and size can enhance the robustness of crop yield projections L Li, B Wang, P Feng, J Jägermeyr, S Asseng, C Müller, I Macadam, ... Communications Earth & Environment 4 (1), 362, 2023 | 16 | 2023 |
| A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability Q He, D Li Liu, B Wang, Z Wang, A Cowie, A Simmons, Z Xu, L Li, Y Shi, ... Resources, Conservation and Recycling 203, 107428, 2024 | 15 | 2024 |
| Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change Q He, D Li Liu, B Wang, A Cowie, A Simmons, C Waters, L Li, P Feng, Y Li, ... Agriculture, Ecosystems & Environment 353, 108536, 2023 | 7 | 2023 |
| Fungal composition associated with host tree identity mediates nutrient addition effects on wood microbial respiration Z Hu, M Fernández‐Martínez, Q He, Z Xu, L Jiang, G Zhou, J Chen, M Nie, ... Ecology 105 (8), e4375, 2024 | 2 | 2024 |
| Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications J Tan, G Zhao, Q Tian, L Zheng, X Kang, Q He, Y Shi, B Chen, D Wu, ... Agricultural and Forest Meteorology 356, 110167, 2024 | 1 | 2024 |
| Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change L Li, Q He, MT Harrison, Y Shi, P Feng, B Wang, Y Zhang, Y Li, D Li Liu, ... Resources, Environment and Sustainability 19, 100185, 2025 | | 2025 |
| Optimizing cover crop practices as a sustainable solution for global agroecosystem services T Qiu, Y Shi, J Peñuelas, J Liu, Q Cui, J Sardans, F Zhou, L Xia, W Yan, ... Nature Communications 15 (1), 1-14, 2024 | | 2024 |
| Nutrients and temperature additively enhance wood carbon fluxes Z Hu, J Chen, G Zhou, Q He, M Nie, Q Xu, Z Xu, K Yue, Q Yu, H Feng, ... Authorea Preprints, 2023 | | 2023 |
Qiang Yu （于强）Professor of Ecological Modelling, Northwest A&F UniversityВерификована је имејл адреса на nwafu.edu.cn