14 citations as recorded by crossref.

1. A generalized approach for predicting and mitigating total dissolved gas supersaturation at data-scarce dams S. Li et al.
2. Balancing Results from AI-Based Geostatistics versus Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network M. Hashemi et al.
3. Bridging data scarcity in groundwater quality studies: A systematic evaluation of statistical and deep learning-based generators C. Aju et al.
4. Reconstruction of Sparse Stream Flow and Concentration Time‐Series Through Compressed Sensing K. Zhang et al.
5. A novel groundwater monitoring network design framework for long-term and economical data monitoring S. Jena
6. Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al.
7. A machine learning approach to site groundwater contamination monitoring wells V. Gómez-Escalonilla et al.
8. Spatiotemporal prediction for groundwater heavy metal contamination using Soft-DTW-based clustering and graph neural network framework Y. He et al.
9. Surrogate modeling for rapid estimation of spatially-resolved flood damage: Application to a coastal region S. Li et al.
10. Climate-hydrology-topography-anthropogenic factors jointly drive the evolution of vegetation coverage in semi-arid regions: A downscaling approach based on random forest and nonlinear residual correction J. Sun et al.
11. A digital ecohydraulic twin for riverine habitat prediction and optimization S. Li et al.
12. Agricultural and energy sectors dominate Irans water crisis: A GRACE-GLDAS quantification (2002_2023) X. Yuan et al.
13. NiMo 4.0 – Enabling advanced data analytics with AI for environmental governance in the water domain M. Budde et al.
14. Data-driven insights into urban groundwater contamination: A framework for SDG 6 implementation in developing countries M. Hamza et al.