9 citations as recorded by crossref.

1. Exploring the potential role of citizen science in the warning value chain for high impact weather M. Tan et al. https://doi.org/10.3389/fcomm.2022.949949
2. Implementing a routine and standard approach for the automatic collection of socio-economic impact observations for impact-based forecasting and warning F. Wyatt et al. https://doi.org/10.1016/j.ijdrr.2024.104608
3. A Review on the Trends in Event Detection by Analyzing Social Media Platforms’ Data M. Mredula et al. https://doi.org/10.3390/s22124531
4. Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis S. Harrison et al. https://doi.org/10.1016/j.ijdrr.2024.104395
5. Artificial intelligence in support of weather warnings and climate adaptation T. Neset et al. https://doi.org/10.1016/j.crm.2024.100673
6. Judgment and decision strategies used by weather scientists in southeast Asia to classify impact severity X. Niu et al. https://doi.org/10.1016/j.ijdrr.2024.104799
7. An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model J. Fang et al. https://doi.org/10.3390/buildings13102459
8. Social sensing a volcanic eruption: application to Kīlauea, 2018 J. Hickey et al. https://doi.org/10.5194/nhess-25-1681-2025
9. A systematic review of social Media-Enabled flood disaster Informatics: Method, technology and application S. Xiao et al. https://doi.org/10.1016/j.jag.2025.104935