16 citations as recorded by crossref.

1. Prediction of Heavy Rain Damage Using Deep Learning K. Lee et al. https://doi.org/10.3390/w12071942
2. Assessment of Debris Flow Risk Factors Based on Meta-Analysis—Cases Study of Northwest and Southwest China Y. Wang et al. https://doi.org/10.3390/su12176841
3. One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam P. Hoa et al. https://doi.org/10.1007/s12145-024-01285-8
4. Impact of an Integrated Approach in Disaster Management O. Njoku et al. https://doi.org/10.4018/IJOCI.2020040102
5. Porous Shallow Water Modeling for Urban Floods in the Zhoushan City, China W. Li et al. https://doi.org/10.3389/feart.2021.687311
6. Effects of sediment transport on flood hazards: Lessons learned and remaining challenges D. Vázquez-Tarrío et al. https://doi.org/10.1016/j.geomorph.2023.108976
7. Influence of urban forms on long-duration urban flooding: Laboratory experiments and computational analysis X. Li et al. https://doi.org/10.1016/j.jhydrol.2021.127034
8. A Flood-Attenuating Impervious Surface Layout Planning Framework: Integrated Storm Water Management Model with Harmony Search R. Cao et al. https://doi.org/10.1061/JWRMD5.WRENG-5988
9. 3D numerical modelling of flow exchanges between flooded streets and residential blocks during urban flooding in an idealized district X. Li et al. https://doi.org/10.1016/j.jhydrol.2025.133150
10. Performance of turbulence closure models for 3D RANS simulation of urban flooding with exchanges between flooded streets and building openings S. Yu et al. https://doi.org/10.1016/j.jhydrol.2026.135445
11. Towards quantitative evidence of Eco-DRR in mountains: A concise review L. Dorren & C. Moos https://doi.org/10.1016/j.ecoleng.2021.106485
12. Influence of urban forms on surface flow in urban pluvial flooding M. Bruwier et al. https://doi.org/10.1016/j.jhydrol.2019.124493
13. Economic valuation of ecosystem-based rockfall risk reduction considering disturbances and comparison to structural measures C. Moos et al. https://doi.org/10.1016/j.scitotenv.2019.134077
14. Dynamic maps of human exposure to floods based on mobile phone data M. Balistrocchi et al. https://doi.org/10.5194/nhess-20-3485-2020
15. Risk assessment of individuals exposed to urban floods Q. Li et al. https://doi.org/10.1016/j.ijdrr.2023.103599
16. Hydrodynamic coupling between ground, pipe, river and sea: critical review and future directions D. Hu et al. https://doi.org/10.2166/aqua.2026.061