46 citations as recorded by crossref.

1. Using random forests to explore the feasibility of groundwater knowledge transfer between the contiguous US and Denmark Y. Ma et al. https://doi.org/10.1088/2515-7620/ad9b08
2. Three-dimensional identification and attribution of flash and slow agricultural droughts in the North China Plain Y. Ding et al. https://doi.org/10.1016/j.jhydrol.2026.135030
3. Cropland reclamation versus cropland restoration: Which is more conducive to China's food security and ecological conservation? Y. Yin et al. https://doi.org/10.1016/j.resenv.2026.100364
4. Effects of grid resolution on regional modelled groundwater salinity and salt fluxes to surface water I. Farías et al. https://doi.org/10.1016/j.jhydrol.2024.131915
5. DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. https://doi.org/10.5194/gmd-18-4247-2025
6. Global groundwater dependent wetland dynamics affected by climate variability and groundwater extraction over the last recent decades N. Otoo et al. https://doi.org/10.1016/j.gloplacha.2026.105682
7. CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China C. Yang et al. https://doi.org/10.5194/hess-29-2201-2025
8. Explainable AI-Based Spatial Downscaling and Water Balance-Guided Temporal Disaggregation of GRACE Terrestrial Water Storage Anomalies over the Ganges River Basin P. Kaushik et al. https://doi.org/10.1016/j.gsd.2026.101688
9. Mapping groundwater-dependent ecosystems using a high-resolution global groundwater model N. Otoo et al. https://doi.org/10.5194/hess-29-2153-2025
10. Towards water resilience: A multi-stage calibration framework for large-scale integrated surface–subsurface hydrological models L. Sandoval et al. https://doi.org/10.1016/j.jhydrol.2025.134527
11. Groundwater leakage of an endorheic basin with extensive permafrost coverage in the western Mongolian Plateau S. Hu et al. https://doi.org/10.1016/j.jhydrol.2025.133175
12. Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. https://doi.org/10.1002/hyp.15340
13. Historic assessment of groundwater sustainability B. Marinelli et al. https://doi.org/10.1088/1748-9326/ae1e90
14. Delineation of the Optimal Groundwater Recharge Zone in Taif Basin, Western Saudi Arabia: Implication for Groundwater Sustainability M. Benaafi et al. https://doi.org/10.1007/s13369-024-09494-5
15. GCSD: A comprehensive coastal indicators database for global coastal sustainable development assessment J. Zuo et al. https://doi.org/10.1038/s41597-025-05668-4
16. 20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling C. Yang et al. https://doi.org/10.5194/gmd-19-1849-2026
17. High resolution estimates of water table depth across Brazil: insights into model behavior and data challenges M. Fleury et al. https://doi.org/10.1088/1748-9326/ae9bd7
18. Uncertainty in model estimates of global groundwater depth R. Reinecke et al. https://doi.org/10.1088/1748-9326/ad8587
19. Built-Up Fraction and Residential Expansion Under Hydrologic Constraints: Quantifying Effects of Terrain, Groundwater and Vegetation Root Depth on Urbanization in Kunming, China C. Shen et al. https://doi.org/10.3390/hydrology13020048
20. Ecoregion-specific restructuring of green-season and peak-season phenology across the continental United States H. Olariu https://doi.org/10.1016/j.ecoinf.2026.103933
21. Tackling water table depth modeling via machine learning: From proxy observations to verifiability J. Janssen et al. https://doi.org/10.1016/j.advwatres.2025.104955
22. Challenges in upscaling process-based groundwater quality models to the global domain scale F. Teuling et al. https://doi.org/10.1088/2515-7620/ae69a2
23. A global high-resolution hydrological model to simulate the dynamics of surface liquid reservoirs: application on Mars A. Gauvain et al. https://doi.org/10.5194/gmd-19-6909-2026
24. Dual effects on vegetation caused by urban expansion in global drylands: Insights from the enhanced vegetation disturbance index T. Qi et al. https://doi.org/10.1016/j.resconrec.2025.108438
25. Subterranean environments contribute to three‐quarters of classified ecosystem services S. Mammola et al. https://doi.org/10.1002/brv.70137
26. Explainable machine learning ensembles for identifying groundwater dependent ecosystems and key features J. Liu et al. https://doi.org/10.1016/j.gsd.2026.101613
27. Intact peatlands experience smaller fire impact on tree cover than modified peatlands and non-peatlands in Indonesia E. Diatmiko et al. https://doi.org/10.3389/ffgc.2026.1840645
28. Long-term hydro-economic analysis tool for evaluating global groundwater cost and supply: Superwell v1.1 H. Niazi et al. https://doi.org/10.5194/gmd-18-1737-2025
29. Climate Change Accelerates Nitrate Delivery to Groundwater S. Chen et al. https://doi.org/10.1021/acs.est.6c02534
30. Global estimates of groundwater withdrawal trends and uncertainties S. Nazari et al. https://doi.org/10.1088/1748-9326/adf6ca
31. The dual impact of global urban expansion on soil salinization from 2000 to 2020 M. Sun et al. https://doi.org/10.1016/j.ecolind.2026.115422
32. A coupled land use change-ecohydrological model for multi-seasonal arid agricultural systems: an Egyptian case study A. Sattar et al. https://doi.org/10.1016/j.envsoft.2025.106845
33. Effects of temporal resolution on modelled regional groundwater salinity and salt fluxes to surface water I. Farías et al. https://doi.org/10.1016/j.advwatres.2026.105403
34. Global groundwater modeling: Proof-of-concept of 3D variably saturated flow simulation at kilometer resolution S. Kollet et al. https://doi.org/10.1016/j.hydroa.2025.100213
35. A global analysis of the influence of shallow and deep groundwater tables on relationships between environmental parameters and heatwaves A. Vogelbacher et al. https://doi.org/10.1016/j.envres.2025.123354
36. A river-augmented highly parameterized linear inverse method for enhanced water table estimation across China A. Liu & J. Jiao https://doi.org/10.1016/j.jhydrol.2026.136272
37. Development of a global 5 arcmin groundwater model (H08-GMv1.0): model setup and steady-state simulation Q. He et al. https://doi.org/10.5194/gmd-18-9653-2025
38. Global hyper-resolution modeling of historical and future groundwater dynamics B. van Jaarsveld et al. https://doi.org/10.5194/esd-17-1201-2026
39. A unified framework for groundwater level imputation and forecasting in data-limited catchments Y. Sharma et al. https://doi.org/10.1016/j.jhydrol.2026.135944
40. Current trends and biases in groundwater modelling using the community-driven groundwater model portal (GroMoPo) D. Zamrsky et al. https://doi.org/10.1007/s10040-025-02882-7
41. Balancing agricultural expansion and groundwater sustainability: Insights from GRACE and hydrological models C. Xu et al. https://doi.org/10.1016/j.agwat.2025.110039
42. Modeling decadal snow and ice dynamics and their hydrological impacts in the Balkhash Lake Basin, Central Asia G. Guojing et al. https://doi.org/10.1016/j.jaridl.2026.04.001
43. Estimating groundwater volume loss using GRACE(FO) and InSAR observations for the subsiding area of Bandung Basin, Indonesia B. Bramanto et al. https://doi.org/10.1007/s11069-025-07632-2
44. Groundwater stress in Europe—assessing uncertainties in future groundwater discharge alterations due to water abstractions and climate change L. Söller et al. https://doi.org/10.3389/frwa.2024.1448625
45. A prototype hyper-resolution groundwater digital twin for the contiguous United States: integrating physics-based modeling, machine learning, and observations Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2026.135189
46. A global dataset of average specific yield for soils M. Lv et al. https://doi.org/10.1038/s41597-025-04742-1