11 citations as recorded by crossref.

1. Enhancing Streamflow Prediction Using Cutting-edge Deep Learning Models and Seasonal-Trend Decomposition Y. Jia et al. https://doi.org/10.1007/s11269-025-04447-5
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3. Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al. https://doi.org/10.5194/hess-30-2337-2026
4. Long-term global trends and influencing factors of surface urban cool and heat islands R. Qiu et al. https://doi.org/10.1080/17538947.2025.2489731
5. Human perturbations reshape hydrological responses in riverine systems: Insights from a reach-level quantification framework to the Pearl River Basin H. Lin et al. https://doi.org/10.1016/j.horiz.2025.100174
6. Identifying Dominant Drivers of Wind Erosion and Assessing Ecological Risk on the Qinghai-Tibet Plateau Using an XGBoost-SHAP Model S. Ouyang et al. https://doi.org/10.1051/e3sconf/202671101014
7. Unveiling the impact of potential evapotranspiration method selection on trends in hydrological cycle components across Europe V. Thakur et al. https://doi.org/10.5194/hess-29-4395-2025
8. Interannual variability of surface urban Heat Islands across global cities: Patterns and climatic drivers R. Qiu et al. https://doi.org/10.1016/j.uclim.2026.102772
9. Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling A. Abbas et al. https://doi.org/10.5194/hess-30-3399-2026
10. Global Attribution of Anthropogenic Climate Change to Terrestrial Long-Term Droughts M. Nouri & M. Khorsandi https://doi.org/10.1007/s11269-025-04455-5
11. Flood regulation as a multivariate challenge in the Anthropocene: a systematic modeling approach K. Zheng & P. Lin https://doi.org/10.1088/1748-9326/ae08ce