6 citations as recorded by crossref.

1. Integrating standardized indices and performance indicators for better drought assessment in semi-arid coastal aquifers M. Neves 10.1016/j.gsd.2024.101341
2. Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge R. Collenteur et al. 10.5194/hess-28-5193-2024
3. Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning models Y. Mo et al. 10.1016/j.gsf.2025.102033
4. Can Proxy-Based Geospatial and Machine Learning Approaches Map Sewer Network Exposure to Groundwater Infiltration? N. Zeydalinejad et al. 10.3390/smartcities8050145
5. 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
6. Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024