10 citations as recorded by crossref.

1. The Resilience Paradox and the Matthew Effect: Unveiling the Heterogeneity of Urban Flood Response via Human Activity Dynamics J. Qian https://doi.org/10.3390/su18073320
2. Beyond static census: Hourly mobile phone data reveals 2.6-fold underestimation of urban flood exposure X. Fan et al. https://doi.org/10.1016/j.cities.2026.107471
3. Using social media for environmental insight: a multi-model deep learning framework approach M. Che et al. https://doi.org/10.1080/10095020.2025.2541877
4. Rainfall reshapes intra-urban activity patterns: Multi-level insights from human mobility in China N. Wang et al. https://doi.org/10.1016/j.compenvurbsys.2026.102483
5. Assessment of Urban Resilience to Floods: A Spatial Planning Framework for Cities M. Peiris https://doi.org/10.3390/su16209117
6. A bibliometric analysis and complied dataset of natural disasters on the Qinghai-Tibet Plateau since 1900 J. Yi et al. https://doi.org/10.1080/19475705.2024.2449557
7. Unveiling flood resilience anomalies in urban blocks using an explainable spatial intelligence framework T. Gu et al. https://doi.org/10.1016/j.scs.2026.107464
8. Flash flood dynamics in complex terrain system and its impact mechanism based on non-linear regression and geodetector Y. Gao et al. https://doi.org/10.1016/j.jenvman.2025.128454
9. Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data J. Qian et al. https://doi.org/10.3390/ijgi13030092
10. Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data M. Che et al. https://doi.org/10.1080/17538947.2025.2543570