Qunying Huang

Papers

Total Citations

H-Index

About

Dr. Qunying Huang is a leading researcher in geographic information science and natural hazard risk assessment, with a focus on leveraging crowdsourced data and social media for disaster response. Her work bridges computational methods and environmental science, particularly in flood depth estimation and damage assessment. Her most cited paper, "Flood Depth Estimation from Web Images" (2019), with 21 citations, introduces an innovative approach to extracting critical flood depth information from publicly available web images—a method that addresses the limitations of traditional sensor-based monitoring during disasters. This contribution is pivotal for rapid, low-cost post-hazard assessments, enabling faster and more accurate responses to flooding events, which are among the most destructive natural hazards in the U.S. and worldwide. Dr. Huang’s research demonstrates a commitment to practical, scalable solutions that empower communities and emergency managers, making her a notable figure in the integration of volunteered geographic information with hazard science. Her work continues to influence how researchers and practitioners harness big data for environmental resilience.