11 citations as recorded by crossref.

1. Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions? F. Boodoo et al. https://doi.org/10.1007/s40808-025-02316-z
2. Sensitivity of lumped and semi-distributed hydrological models to 20 gridded precipitation products in a transboundary basin P. Pacheco M. et al. https://doi.org/10.1016/j.jhydrol.2025.133462
3. Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. https://doi.org/10.3390/rs15061642
4. On the potential of Sentinel-1 for sub-field scale soil moisture monitoring T. van Hateren et al. https://doi.org/10.1016/j.jag.2023.103342
5. Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model G. García-Alén et al. https://doi.org/10.1016/j.jhydrol.2023.129667
6. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. https://doi.org/10.1002/wat2.1574
7. Review of hydrological modelling in the Australian Alps: from rainfall-runoff to physically based models N. Harvey et al. https://doi.org/10.1080/13241583.2024.2343453
8. A new approach for joint assimilation of cosmic-ray neutron soil moisture and groundwater level data into an integrated terrestrial model F. Li et al. https://doi.org/10.5194/hess-29-6419-2025
9. Field scale computer modeling of soil moisture with dynamic nudging assimilation algorithm O. Kozhushko et al. https://doi.org/10.23939/mmc2022.02.203
10. Development and Prospect of Satellite Remote Sensing Technology for Ocean Dynamic Environment Q. Zhang et al. https://doi.org/10.2514/1.A35710
11. Soil moisture information in Southeast Australia – A review of long-term field measurements toward enhanced monitoring and predictive applications I. Senanayake et al. https://doi.org/10.1016/j.geodrs.2026.e01132