| Increased atmospheric vapor pressure deficit reduces global vegetation growth W Yuan, Y Zheng, S Piao, P Ciais, D Lombardozzi, Y Wang, Y Ryu, ... Science advances 5 (8), eaax1396, 2019 | 1037 | 2019 |
| 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 | 207 | 2020 |
| Early-season mapping of winter wheat in China based on Landsat and Sentinel images J Dong, Y Fu, J Wang, H Tian, S Fu, Z Niu, W Han, Y Zheng, J Huang, ... Earth System Science Data 12 (4), 3081-3095, 2020 | 111 | 2020 |
| Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution Y Zheng, L Zhang, J Xiao, W Yuan, M Yan, T Li, Z Zhang Agricultural and forest meteorology 263, 242-257, 2018 | 103 | 2018 |
| Drought events and their effects on vegetation productivity in China L Zhang, J Xiao, Y Zhou, Y Zheng, J Li, H Xiao Ecosphere 7 (12), e01591, 2016 | 90 | 2016 |
| Increased carbon uptake and water use efficiency in global semi-arid ecosystems L Zhang, J Xiao, Y Zheng, S Li, Y Zhou Environmental Research Letters 15 (3), 034022, 2020 | 53 | 2020 |
| High resolution distribution dataset of double-season paddy rice in china B Pan, Y Zheng, R Shen, T Ye, W Zhao, J Dong, H Ma, W Yuan Remote Sensing 13 (22), 4609, 2021 | 41 | 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 |
| High-resolution map of sugarcane cultivation in Brazil using a phenology-based method Y Zheng, AC dos Santos Luciano, J Dong, W Yuan Earth System Science Data Discussions 2021, 1-25, 2021 | 27 | 2021 |
| Assimilation of remotely-sensed leaf area index into a dynamic vegetation model for gross primary productivity estimation R Ma, L Zhang, X Tian, J Zhang, W Yuan, Y Zheng, X Zhao, T Kato Remote Sensing 9 (3), 188, 2017 | 23 | 2017 |
| 1982—2012 年全球干旱区植被变化及驱动因子分析 郑艺， 张丽， 周宇， 张炳华 干旱区研究 34 (1), 59-66, 2017 | 21 | 2017 |
| Development of a phenology-based method for identifying sugarcane plantation areas in China using high-resolution satellite datasets Y Zheng, Z Li, B Pan, S Lin, J Dong, X Li, W Yuan Remote Sensing 14 (5), 1274, 2022 | 20 | 2022 |
| Tighten the bolts and nuts on GPP estimations from sites to the globe: An assessment of remote sensing based LUE models and supporting data fields Z Wang, S Liu, YP Wang, R Valbuena, Y Wu, M Kutia, Y Zheng, W Lu, ... Remote Sensing 13 (2), 168, 2021 | 15 | 2021 |
| Multi-site assessment of the potential of fine resolution red-edge vegetation indices for estimating gross primary production S Lin, D Hao, Y Zheng, H Zhang, C Wang, W Yuan International Journal of Applied Earth Observation and Geoinformation 113 …, 2022 | 11 | 2022 |
| High-resolution mapping of winter cereals in Europe by time series landsat and sentinel images for 2016–2020 X Huang, Y Fu, J Wang, J Dong, Y Zheng, B Pan, S Skakun, W Yuan Remote Sensing 14 (9), 2120, 2022 | 11 | 2022 |
| Underestimated interannual variability of terrestrial vegetation production by terrestrial ecosystem models S Lin, Z Hu, Y Wang, X Chen, B He, Z Song, S Sun, C Wu, Y Zheng, X Xia, ... Global Biogeochemical Cycles 37 (4), e2023GB007696, 2023 | 9 | 2023 |
| An open data approach for estimating vegetation gross primary production at fine spatial resolution S Lin, X Huang, Y Zheng, X Zhang, W Yuan Remote Sensing 14 (11), 2651, 2022 | 9 | 2022 |
| 基于 LPJ 模型的中亚地区植被净初级生产力与蒸散模拟 张建财， 张丽， 郑艺， 田向军， 周宇 草业科学 32 (11), 1721-1729, 2015 | 9 | 2015 |
| Research progress on parameter sensitivity analysis in ecological and hydrological models of remote sensing H Ma, K Zhang, C Ma, X Wu, C Wang, Y Zheng, G Zhu, W Yuan, X Li | 8 | 2022 |
| 曼谷城市扩张生态环境效应 韩瑞丹， 张丽， 郑艺， 王恒， 张静 生态学报 37 (19), 6322-6334, 2017 | 7 | 2017 |
