| 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 | 106 | 2020 |
| 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 | 8 | 2023 |
| Building social resilience in North Korea can mitigate the impacts of climate change on food security Y Shi, Y Zhang, B Wu, B Wang, L Li, H Shi, N Jin, DL Liu, R Miao, X Lu, ... Nature Food 3 (7), 499-511, 2022 | 7 | 2022 |
| 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 | 4 | 2024 |
| Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era Y Li, H Tian, Y Yao, H Shi, Z Bian, Y Shi, S Wang, T Maavara, ... Nature Communications 15 (1), 942, 2024 | 4 | 2024 |
| Relationship of population migration, crop production pattern, and socioeconomic development: evidence from the early 21st century Y Zhang, J Zhao, Y Yan, Y Shi, Q Yu Environmental Research Letters 16 (7), 074045, 2021 | 4 | 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 | 3 | 2023 |
| Spatial and temporal patterns of agricultural drought in China during 1960–2020 characterized by use of the crop water deficit Abnormal Index N Jin, Y Shi, W Niu, L He Journal of Hydrology 627, 130454, 2023 | 2 | 2023 |
| Optimizing tillage practice based on water supply during the growing season in wheat and maize production in northern China B Wu, D Ma, Y Shi, G Zuo, F Chang, M Sun, L Yin, S Wang Agricultural Water Management 300, 108923, 2024 | | 2024 |
| Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea Y Shi, L Li, B Wu, Y Zhang, B Wang, W Niu, L He, N Jin, S Pan, H Tian, ... Science of The Total Environment, 174227, 2024 | | 2024 |
| Monitoring of Cropland Abandonment and Land Reclamation in the Farming–Pastoral Zone of Northern China J Ye, Y Hu, Z Feng, L Zhen, Y Shi, Q Tian, Y Zhang Remote Sensing 16 (6), 1089, 2024 | | 2024 |
| Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change M Harrison, L Li, Y Zhang, B Wang, P Feng, Q He, Y Shi, K Liu, DL Liu, ... University Of Tasmania, 2023 | | 2023 |
| Monitoring of Cropland Abandonment and Land Reclamation in the Farming-Pastoral Zone of Northern China: Using Clcd Dataset Y Hu, J Ye, L Zhen, Y Shi, Q Tian Lin and Shi, Yu and Tian, Qi, Monitoring of Cropland Abandonment and Land …, 0 | | |
