8 citations as recorded by crossref.

1. Machine Learning Predicts Reach‐Scale Channel Types From Coarse‐Scale Geospatial Data in a Large River Basin H. Guillon et al. https://doi.org/10.1029/2019WR026691
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3. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. https://doi.org/10.3390/w12051495
4. A global dataset of remote sensing-based soil critical point and permanent wilting point Y. Xu et al. https://doi.org/10.1038/s41597-025-05048-y
5. Global critical soil moisture thresholds of plant water stress Z. Fu et al. https://doi.org/10.1038/s41467-024-49244-7
6. Plant Water Uptake Thresholds Inferred From Satellite Soil Moisture M. Bassiouni et al. https://doi.org/10.1029/2020GL087077
7. Optimal plant water use strategies explain soil moisture variability M. Bassiouni et al. https://doi.org/10.1016/j.advwatres.2023.104405
8. Better practices for inferring ecosystem water use strategy from eddy covariance data B. Sloan & X. Feng https://doi.org/10.1016/j.agrformet.2025.110737