| Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017 Y Zheng, R Shen, Y Wang, X Li, S Liu, S Liang, JM Chen, W Ju, L Zhang, ... Earth System Science Data 12 (4), 2725-2746, 2020 | 208 | 2020 |
| Spatiotemporal drought variability on the Mongolian Plateau from 1980–2014 based on the SPEI-PM, intensity analysis and Hurst exponent S Tong, Q Lai, J Zhang, Y Bao, A Lusi, Q Ma, X Li, F Zhang Science of the Total Environment 615, 1557-1565, 2018 | 176 | 2018 |
| Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia (China) during 1960–2017 S Tong, X Li, J Zhang, Y Bao, Y Bao, L Na, A Si Science of the Total Environment 649, 75-89, 2019 | 174 | 2019 |
| An improved two-step floating catchment area method for evaluating spatial accessibility to urban emergency shelters X Zhu, Z Tong, X Liu, X Li, P Lin, T Wang Sustainability 10 (7), 2180, 2018 | 34 | 2018 |
| A machine learning method for predicting vegetation indices in China X Li, W Yuan, W Dong Remote Sensing 13 (6), 1147, 2021 | 31 | 2021 |
| High spatial resolution vegetation gross primary production product: Algorithm and validation X Huang, Y Zheng, H Zhang, S Lin, S Liang, X Li, M Ma, W Yuan Science of Remote Sensing 5, 100049, 2022 | 27 | 2022 |
| Vegetation dynamics and diverse responses to extreme climate events in different vegetation types of inner mongolia L Na, R Na, J Zhang, S Tong, Y Shan, H Ying, X Li, Y Bao Atmosphere 9 (10), 394, 2018 | 25 | 2018 |
| How well can we predict vegetation growth through the coming growing season? Q Peng, X Li, R Shen, B He, X Chen, Y Peng, W Yuan Science of Remote Sensing 5, 100043, 2022 | 6 | 2022 |
