| Assessing responses of hydrological processes to climate change over the southeastern Tibetan Plateau based on resampling of future climate scenarios C Gao, L Liu, D Ma, K He, YP Xu Science of the total environment 664, 737-752, 2019 | 39 | 2019 |
| Detecting coastal wetland degradation by combining remote sensing and hydrologic modeling K He, Y Zhang, W Li, G Sun, S McNulty Forests 13 (3), 411, 2022 | 8 | 2022 |
| 基于径流和积雪资料的水文模型多目标率定 何柯琪， 高超， 谢京凯， 许月萍 水力发电学报 38 (3), 65-74, 2019 | 6 | 2019 |
| Identifying driving hydrogeomorphic factors of coastal wetland downgrading using random forest classification models K He, W Li, Y Zhang, G Sun, SG McNulty, NE Flanagan, CJ Richardson Science of the Total Environment 894, 164995, 2023 | 5 | 2023 |
| Impacts of different types of El Niño events on water quality over the Corn Belt, United States P Chen, W Li, K He Hydrology and Earth System Sciences 2022, 1-26, 2022 | 2 | 2022 |
| Quantifying Wetland Methane Emissions from the Southeastern United States: A Data-driven Approach, Key Variables, and Spatiotemporal Distributions K He, W Li, Y Zhang, A Zeng, I de Graaf, M Aguilos, G Sun, S McNulty, ... EGU24, 2024 | | 2024 |
| Quantifying Wetland Methane Emission from the Southeastern United States: A Data-driven Approach, Key Drivers, and Spatiotemporal Distributions K He, W Li, Y Zhang, A Zeng, MM Aguilos, G Sun, S McNulty, JS King, ... AGU23, 2023 | | 2023 |
| Identifying Hydrological Driving Forces of Coastal Wetland Degradation Using Random Forest Classifiers K He, W Li, Y Zhang, G Sun, S McNulty AGU Fall Meeting Abstracts 2022, B35C-1417, 2022 | | 2022 |
Ge SunResearch Hydrologist and Project Leader, USDA Forest ServiceVerified email at ncsu.edu
