9 citations as recorded by crossref.

1. A probabilistic machine learning framework for daily extreme events forecasting A. Sattari et al. 10.1016/j.eswa.2024.126004
2. Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging A. Sattari et al. 10.1016/j.jhydrol.2024.131986
3. A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics S. Daramola et al. 10.1016/j.envsoft.2025.106499
4. DEM-based pluvial flood inundation modeling at a metropolitan scale A. Samadi et al. 10.1016/j.envsoft.2024.106226
5. Spatial delineation of the compound flood transition zone using deep learning F. Yarveysi et al. 10.1016/j.advwatres.2025.105131
6. Enhancing compound flood simulation accuracy and efficiency in urbanized coastal areas using hybrid meshes and modified digital elevation model E. Hamidi et al. 10.1016/j.scs.2025.106184
7. FLDSensing: Remote Sensing Flood Inundation Mapping with FLDPLN J. Edwards et al. 10.3390/rs17193362
8. Performance evaluation and comparison of Delft3DFM and TUFLOW FV for urban flood simulation along Tapi River, India S. Rajendiran et al. 10.1007/s40808-025-02453-5
9. Coping with data scarcity in extreme flood forecasting: A deep generative modeling approach A. Sattari & H. Moradkhani 10.1016/j.advwatres.2025.105063