9 citations as recorded by crossref.

1. Customized sea‐surface temperature indicators linking to streamflow at different timescales A. Ganapathy & A. Agarwal https://doi.org/10.1002/joc.7853
2. Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks A. Sun et al. https://doi.org/10.1029/2021WR030394
3. Complex network approaches to nonlinear time series analysis Y. Zou et al. https://doi.org/10.1016/j.physrep.2018.10.005
4. Assessment of Three Common Methods for Estimating Terrestrial Water Storage Change with Three Reanalysis Datasets S. Deng et al. https://doi.org/10.1175/JCLI-D-18-0637.1
5. Variations in terrestrial water storage in the Lancang-Mekong river basin from GRACE solutions and land surface model W. Jing et al. https://doi.org/10.1016/j.jhydrol.2019.124258
6. A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations W. Jing et al. https://doi.org/10.1016/j.advwatres.2020.103683
7. Network-based exploration of basin precipitation based on satellite and observed data M. Gadhawe et al. https://doi.org/10.1140/epjs/s11734-021-00017-z
8. Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes A. Sun et al. https://doi.org/10.3390/rs9121287
9. Advances in GRACE satellite studies on terrestrial water storage: a comprehensive review J. Karki et al. https://doi.org/10.1080/10106049.2025.2482706