15 citations as recorded by crossref.

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8. Flood Water Depth Prediction with Convolutional Temporal Attention Networks P. Chaudhary et al. 10.3390/w16091286
9. Pluvial flood susceptibility mapping for data-scarce urban areas using graph attention network and basic flood conditioning factors Z. Wang et al. 10.1080/10106049.2023.2275692
10. Coupled sink and flow accumulation analyses with single flow direction and multiple flow direction algorithms N. Bowsher et al. 10.2166/hydro.2023.123
11. A Spatiotemporal Deep Learning Approach for Urban Pluvial Flood Forecasting with Multi-Source Data B. Burrichter et al. 10.3390/w15091760
12. An efficient 2-D flood inundation modelling based on a data-driven approach S. Chiang et al. 10.1016/j.ejrh.2024.101741
13. Advancing rapid urban flood prediction: a spatiotemporal deep learning approach with uneven rainfall and attention mechanism Y. Shao et al. 10.2166/hydro.2024.024
14. Physics-Guided Deep Learning for Spatiotemporal Evolution of Urban Pluvial Flooding H. Woo et al. 10.3390/w17081239
15. Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany O. Seleem et al. 10.5194/nhess-23-809-2023