8 citations as recorded by crossref.

1. Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin H. Wang et al. 10.1016/j.ecolind.2025.113273
2. Multi-site deep learning for groundwater level prediction across global datasets: toward scalable applications under data scarcity A. Nolte et al. 10.2166/hydro.2025.095
3. Influence of low-frequency variability on groundwater level trends L. Baulon et al. 10.1016/j.jhydrol.2022.127436
4. A multivariate-driven approach for disentangling the reduction in near-natural Iberian water resources post-1980 A. Halifa-Marín et al. 10.5194/hess-26-4251-2022
5. A Comparative Spatiotemporal Analysis for Long-Term Trends of Hydrometeorological Variables in Maritsa River Basin M. Korkmaz et al. 10.21324/dacd.1577479
6. Hybrid approaches enhance hydrological model usability for local streamflow prediction Y. Du & I. Pechlivanidis 10.1038/s43247-025-02324-y
7. Change in groundwater table depth caused by natural change and human activities during the past 40 years in the Shiyang River Basin, northwest China M. Liu et al. 10.1016/j.scitotenv.2023.167722
8. Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what is the best way to leverage regionalised information? S. Chidepudi et al. 10.5194/hess-29-841-2025