12 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. 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. 10.3389/feart.2023.1136346
3. Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia N. Pleterski 10.3390/su17219643
4. Automatic damaged vehicle estimator using enhanced deep learning algorithm J. Qaddour & S. Siddiqa 10.1016/j.iswa.2023.200192
5. Identifying the potential participation in natural disaster insurance: first attempt based on a national socio-economic survey in Indonesia S. Oktora et al. 10.1108/IJDRBE-04-2022-0034
6. Building loss assessment using deep learning algorithm from typhoon Rusa J. Kim et al. 10.1016/j.heliyon.2023.e23324
7. Appraising investments in Disaster Risk Reduction (DRR): A systematic literature review T. Weerasinghe et al. 10.1016/j.pdisas.2025.100438
8. Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience S. Elkady et al. 10.1016/j.pdisas.2024.100320
9. Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms M. Shafapourtehrany et al. 10.3390/rs15184501
10. 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 10.1016/j.ijdrr.2024.104772
11. Municipal resilience bonds for earthquake risk reduction: a financing model for Istanbul’s infrastructure Y. Song & F. Medda 10.20935/AcadEng7947
12. Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework C. Hsu et al. 10.3390/math10081233