16 citations as recorded by crossref.

1. Strengthening Climate Resilience: Urban Water Technologies for Heat-Resilient Physical Infrastructure in Southeast Asia Cities Amidst Extreme Temperature Events and El Niño Challenges T. Kurniawan et al. https://doi.org/10.1021/acsestwater.4c00585
2. A study of deep learning algorithm usage in predicting building loss ratio due to typhoons: the case of southern part of the Korean Peninsula J. Kim et al. https://doi.org/10.3389/feart.2023.1136346
3. Crisis and disaster management: international scientific and technological trends in maintenance projects I. Munhoz et al. https://doi.org/10.1016/j.procs.2026.02.235
4. Nature-Based Solutions for Large-Scale Landslide Mitigation: A Review of Sustainable Approaches, Modeling Integration, and Future Perspectives Y. Zhou et al. https://doi.org/10.3390/su18010308
5. Machine learning and the economic losses in disasters: Progress and future trends M. Pedra et al. https://doi.org/10.1016/j.jnlssr.2025.100276
6. Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia N. Pleterski https://doi.org/10.3390/su17219643
7. Evaluating the international economic evidence of proactive disaster management strategies for extreme weather events: A global systematic review protocol. J. Ogbodo et al. https://doi.org/10.12688/hrbopenres.14350.1
8. Automatic damaged vehicle estimator using enhanced deep learning algorithm J. Qaddour & S. Siddiqa https://doi.org/10.1016/j.iswa.2023.200192
9. Identifying the potential participation in natural disaster insurance: first attempt based on a national socio-economic survey in Indonesia S. Oktora et al. https://doi.org/10.1108/IJDRBE-04-2022-0034
10. Building loss assessment using deep learning algorithm from typhoon Rusa J. Kim et al. https://doi.org/10.1016/j.heliyon.2023.e23324
11. Appraising investments in Disaster Risk Reduction (DRR): A systematic literature review T. Weerasinghe et al. https://doi.org/10.1016/j.pdisas.2025.100438
12. Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience S. Elkady et al. https://doi.org/10.1016/j.pdisas.2024.100320
13. Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms M. Shafapourtehrany et al. https://doi.org/10.3390/rs15184501
14. Robust analysis and best practices in flood economic loss assessment using HEC-FIA and GO-Consequence software for climate-ready risk management T. Poulose & S. Kumar https://doi.org/10.1016/j.ijdrr.2024.104772
15. A Conceptual Approach to Predicting Seismic Events and Flood Risks Using Convolutional Neural Networks M. Rehan et al. https://doi.org/10.33093/jiwe.2025.4.2.9
16. Municipal resilience bonds for earthquake risk reduction: a financing model for Istanbul’s infrastructure Y. Song & F. Medda https://doi.org/10.20935/AcadEng7947