19 citations as recorded by crossref.

1. Convection-permitting simulations reveal expanded rainfall extremes of tropical cyclones affecting South Korea due to anthropogenic warming M. Lee et al. 10.1038/s41612-023-00509-w
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4. The parametric hurricane rainfall model with moisture and its application to climate change projections D. Kim et al. 10.1038/s41612-022-00308-9
5. Dynamic bivariate hazard forecasting of hurricanes for improved disaster preparedness S. Tripathy et al. 10.1038/s43247-023-01198-2
6. Study of tropical cyclone wave characteristics based on a hybrid track clustering method J. Li et al. 10.1016/j.ocecoaman.2024.107448
7. A decision tree approach to identify predictors of extreme rainfall events – A case study for the Fiji Islands K. Sharma et al. 10.1016/j.wace.2021.100405
8. Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China Z. Gao et al. 10.3390/su12104212
9. Summer and Autumn Tropical Cyclone Activity over Korea Responds in Opposite Ways to ENSO Phases D. Park et al. 10.5467/JKESS.2024.45.6.511
10. Tropical cyclone damages in Mainland China over 2005–2016: losses analysis and implications H. Wang et al. 10.1007/s10668-019-00481-7
11. Quantitative assessment of population risk to tropical cyclones using hybrid modeling combining GAM and XGBoost: A case study of Hainan Province C. Meng et al. 10.1016/j.ijdrr.2024.104650
12. Changes in Tropical Cyclone Disasters Over China During 2001–2020 Y. Li et al. 10.1029/2022EA002795
13. Dependence of tropical cyclone damage on maximum wind speed and socioeconomic factors M. Ye et al. 10.1088/1748-9326/ab9be2
14. Storm-Induced Power Grid Damage Forecasting Method for Solving Low Probability Event Data S. Oh et al. 10.1109/ACCESS.2021.3055146
15. A Performance Evaluation of Potential Intensity over the Tropical Cyclone Passage to South Korea Simulated by CMIP5 and CMIP6 Models D. Park et al. 10.3390/atmos12091214
16. Major Decisive Factors of Tropical Cyclone Risk in the Republic of Korea: Intensity, Track, and Extratropical Transition C. Nam et al. 10.1007/s13143-023-00318-4
17. Evaluation of Tropical Cyclone Disaster Loss Using Machine Learning Algorithms with an eXplainable Artificial Intelligence Approach S. Liu et al. 10.3390/su151612261
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19. How Quickly Can We Adapt to Change? An Assessment Of Hurricane Damage Mitigation Efforts Using Forecast Uncertainty A. Martinez 10.2139/ssrn.3070154