1. Li, B., Wan, R.R.*, Yang, G.S.*, Yang, S., Dong, L.F., Cui, J.L., Zhang, T., 2024. Centennial loss of lake wetlands in the Yangtze Plain, China: Impacts of land use changes accompanied by hydrological connectivity loss. Water Research, 256: 121578.
2. Li, B., Wan, R.R.*, Yang, G.S.*, 2024. Centennial dynamics of floodplain wetland in the largest freshwater lake in China: Implications on floodplain lake restoration. Journal of Environmental Management, 353: 120192.
3. Li, B., Yang, G.S.*, Wan, R.R., 2023. Reassessment of the declines in the largest freshwater lake in China (Poyang Lake): uneven trends, risks and underlying causes. Journal of Environmental Management, 342: 118157.
4. Li, B., Yang, G.S.*, Wan, R.R.*, Lai X.J., Wagner, P.D., 2022. Impacts of hydrological alteration on ecosystem services changes of a large river-connected lake (Poyang Lake), China. Journal of Environmental Management, 310: 114750.
5. Li, B.*, Yang, G.S., Wan, R.R., Xu. L.G, 2022. Chlorophyll a variations and responses to environmental stressors along hydrological connectivity gradients: Insights from a large floodplain lake. Environmental Pollution, 307: 119566.
6. Li, B., Yang, G.S.*, Wan, R.R., Wang, Y.N., Xu, C., Wang, D.C., Mi, C., 2022. Unraveling the importance of the Yangtze River and local catchment on water level variations of Poyang Lake (China) after the Three Gorges Dam operation: Insights from random forest modeling. Frontiers in Earth Science, 10: 927462.
7. Li, B., Yang, G.S.*, Wan, R.R.*, 2020. Multidecadal water quality deterioration in the largest freshwater lake in China (Poyang Lake): Implications on eutrophication management. Environmental Pollution, 260: 114033.
8. Li, B., Wan, R.R.*, Yang, G.S.*, Wang, S.G., Wagner, P.D., 2020. Exploring the spatiotemporal water quality variations and their influencing factors in a large floodplain lake in China. Ecological Indicators, 115: 106454.
9. Li, B.*, Yang, G.S.*, Wan, R.R., Li, H.P., 2018. Hydrodynamic and water quality modeling of a large floodplain lake (Poyang Lake) in China. Environmental Science and Pollution Research, 25(35): 35084-35098.
10. Li, B., Yang, G.S.*, Wan, R.R., Hörmann, G., Huang, J.C., Fohrer, N., Zhang, L., 2017. Combining multivariate statistical techniques and random forests model to assess and diagnose the trophic status of Poyang Lake in China. Ecological Indicators, 83: 74-83
11. Li, B., Yang, G.S.*, Wan, R.R., Hörmann, G., 2017. Dynamic water quality evaluation based on fuzzy matter–element model and functional data analysis, a case study in Poyang Lake. Environmental Science and Pollution Research, 24(23):19138-19148.
12. Li, B., Yang, G.S.* Wan, R.R., Zhang, L., Zhang, Y.H., Dai, X., 2017. Using fuzzy theory and variable weights for water quality evaluation in Poyang Lake, China. Chinese Geographical Science, 27(1), 39-51.
13. Li, B., Yang, G.S.*, Wan, R.R., Dai, X., Zhang, Y.H., 2016. Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China. Hydrology Research, 47(S1), 69-83.
