| Internal cycling, not external loading, decides the nutrient limitation in eutrophic lake: A dynamic model with temporal Bayesian hierarchical inference Z Wu, Y Liu, Z Liang, S Wu, H Guo Water research 116, 231-240, 2017 | 199 | 2017 |
| Seasonal and spatial dynamics of denitrification rate and denitrifier community in constructed wetland treating polluted river water B Li, J Chen, Z Wu, S Wu, S Xie, Y Liu International Biodeterioration & Biodegradation 126, 143-151, 2018 | 45 | 2018 |
| Denitrification and the controlling factors in Yunnan Plateau Lakes (China): exploring the role of enhanced internal nitrogen cycling by algal blooms S Wu, Z Wu, Z Liang, Y Liu, Y Wang Journal of Environmental Sciences 76, 349-358, 2019 | 29 | 2019 |
| Using Bayesian change point model to enhance understanding of the shifting nutrients-phytoplankton relationship Z Liang, SS Qian, S Wu, H Chen, Y Liu, Y Yu, X Yi Ecological Modelling 393, 120-126, 2019 | 17 | 2019 |
| A probabilistic method to enhance understanding of nutrient limitation dynamics of phytoplankton Z Liang, S Wu, H Chen, Y Yu, Y Liu Ecological Modelling 368, 404-410, 2018 | 14 | 2018 |
| Quantifying the risk of irreversible degradation for ecosystems: A probabilistic method based on Bayesian inference S Wu, Z Liang, Y Liu Ecological Indicators 107, 105621, 2019 | 10 | 2019 |
| Exploring Dynamics of the Chlorophyll a-Total Phosphorus Relationship at the Lake-Specific Scale: a Bayesian Hierarchical Model Z Liang, H Chen, S Wu, X Zhang, YH Yu, Y Liu Water, Air, & Soil Pollution 229, 1-12, 2018 | 9 | 2018 |
| 湖泊氮磷循环的关键过程与定量识别方法 Z Wu, S Wu, Y Liu, Y Zhang, S Xie, H Guo Beijing Da Xue Xue Bao 54 (1), 218-228, 2018 | 6 | 2018 |
| A Two-Stage Interpretable Machine Learning Framework for Accurate Prediction of Trace Pollutants: With an Application to Microcystin S Wu, Z Liang, Q Qiu ACS ES&T Water 4 (3), 1155-1165, 2023 | 4 | 2023 |
| 富营养湖泊稳态转换的恢复时间及影响因素模拟研究 S Wu, Z Liang, Y Liu Beijing Da Xue Xue Bao 54 (5), 1095-1102, 2018 | 3 | 2018 |
