13 citations as recorded by crossref.

1. A Framework for Calculating Peak Discharge and Flood Inundation in Ungauged Urban Watersheds Using Remotely Sensed Precipitation Data: A Case Study in Freetown, Sierra Leone A. Cotugno et al. https://doi.org/10.3390/rs13193806
2. Impact Factors and Risk Analysis of Tropical Cyclones on a Highway Network S. Yang et al. https://doi.org/10.1111/risa.12463
3. Agriculture damage data collection: A model for reconstructing comprehensive damage dynamics A. Faiella https://doi.org/10.1016/j.pdisas.2020.100112
4. A conceptual model of vehicles stability in flood flows L. Milanesi & M. Pilotti https://doi.org/10.1080/00221686.2019.1647887
5. Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters L. Yin & Y. Wang https://doi.org/10.3390/ijgi9120697
6. Urban flood impact assessment: A state-of-the-art review M. Hammond et al. https://doi.org/10.1080/1573062X.2013.857421
7. The socioeconomic impact of climate-related hazards: flash flood impact assessment in Kuala Lumpur, Malaysia T. Bhuiyan et al. https://doi.org/10.1007/s11069-021-04887-3
8. Vulnerability Analysis of Geographical Railway Network under Geological Hazard in China L. Yin et al. https://doi.org/10.3390/ijgi11060342
9. Flood vulnerability assessment in the mountain–plateau transition zone: a case study of Marginea village (Romania) G. Romanescu et al. https://doi.org/10.1111/jfr3.12249
10. Climate-related uncertainties in urban exposure to sea level rise and storm surge flooding: a multi-temporal and multi-scenario analysis Y. Ju et al. https://doi.org/10.1016/j.cities.2019.04.002
11. An Integrated Approach for Assessing the Impact of Large‐Scale Future Floods on a Highway Transport System W. Wang et al. https://doi.org/10.1111/risa.13507
12. Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010 M. Bíl et al. https://doi.org/10.1016/j.tra.2015.07.006
13. Vulnerability assessment and mitigation for the Chinese railway system under floods L. Hong et al. https://doi.org/10.1016/j.ress.2014.12.013