18 citations as recorded by crossref.

1. The influence of microtopography to road inundation caused by extreme flood Y. Geng et al.
2. Analyzing Pluvial Flooding Influenced by Urban Road Network Metrics Based on Hydrodynamic Simulation and SHAP Values Y. Geng et al.
3. A novel flood conditioning factor based on topography for flood susceptibility modeling J. Liu et al.
4. Leveraging community-generated data to enhance flood resilience assessments M. Hummel et al.
5. Uncovering the Drivers of Urban Flood Reports: An Environmental and Socioeconomic Analysis Using 311 Data N. Lerma et al.
6. Analyzing common social and physical features of flash-flood vulnerability in urban areas N. Coleman et al.
7. A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data X. Kong et al.
8. Validating the Quality of Volunteered Geographic Information (VGI) for Flood Modeling of Hurricane Harvey in Houston, Texas T. Chow et al.
9. Ensemble learning for enhancing critical infrastructure resilience to urban flooding Y. Bhattarai et al.
10. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al.
11. Heavy rains and hydrogeological disasters on February 18th–19th, 2023, in the city of São Sebastião, São Paulo, Brazil: from meteorological causes to early warnings J. Marengo et al.
12. Influence of Terrain Factors on Urban Pluvial Flooding Characteristics: A Case Study of a Small Watershed in Guangzhou, China X. Zhang et al.
13. Assessing urban flood susceptibility in Seoul, South Korea using machine learning models: effects of urban infrastructure and sampling variability Y. Lee et al.
14. Predicting real-time roadway pluvial flood risk: A hybrid machine learning approach coupling a graph-based flood spreading model, historical vulnerabilities, and Waze data A. Safaei-Moghadam et al.
15. Navigating the definition of urban flooding: A conceptual and systematic review of the literature P. Alves et al.
16. Physics-Informed Bayesian Markov random field approach for road flooding inference from sparse post-disaster observations S. Cao et al.
17. City Diagnosis as a Strategic Component in Preparing Urban Areas for Climate Change: Insights from the ‘City with Climate’ Project K. Samborska-Goik et al.
18. Probabilistic hierarchical interpolation and interpretable neural network configurations for flood prediction M. Saberian et al.