| Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study F Yuan, R Liu International journal of disaster risk reduction 28, 758-767, 2018 | 116 | 2018 |
| Social media for enhanced understanding of disaster resilience during Hurricane Florence F Yuan, M Li, R Liu, W Zhai, B Qi International Journal of Information Management 57, 102289, 2021 | 68 | 2021 |
| Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data W Zhai, ZR Peng, F Yuan International Journal of Disaster Risk Reduction 48, 101611, 2020 | 48 | 2020 |
| Mining social media data for rapid damage assessment during Hurricane Matthew: Feasibility study F Yuan, R Liu Journal of Computing in Civil Engineering 34 (3), 05020001, 2020 | 48 | 2020 |
| Understanding the evolutions of public responses using social media: Hurricane Matthew case study F Yuan, M Li, R Liu International journal of disaster risk reduction 51, 101798, 2020 | 47 | 2020 |
| Historical redlining and resident exposure to COVID-19: a study of New York City M Li, F Yuan Race and Social Problems 14 (2), 85-100, 2022 | 42 | 2022 |
| Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data C Podesta, N Coleman, A Esmalian, F Yuan, A Mostafavi Journal of the Royal Society Interface 18 (177), 20210158, 2021 | 36 | 2021 |
| Crowdsourcing for forensic disaster investigations: Hurricane Harvey case study F Yuan, R Liu Natural Hazards 93, 1529-1546, 2018 | 36 | 2018 |
| Internet of people enabled framework for evaluating performance loss and resilience of urban critical infrastructures F Yuan, R Liu, L Mao, M Li Safety Science 134, 105079, 2021 | 33 | 2021 |
| Smart flood resilience: Harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness F Yuan, C Fan, H Farahmand, N Coleman, A Esmalian, CC Lee, ... Environmental Research: Infrastructure and Sustainability 2 (2), 025006, 2022 | 27 | 2022 |
| Historical redlining and food environments: a study of 102 urban areas in the United States M Li, F Yuan Health & Place 75, 102775, 2022 | 24 | 2022 |
| Integration of Social Media and Unmanned Aerial Vehicles (UAVs) for Rapid Damage Assessment in Hurricane Matthew F Yuan, R Liu Construction Research Congress 2018, 513-523, 2018 | 22 | 2018 |
| Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding F Yuan, Y Xu, Q Li, A Mostafavi Computers, Environment and Urban Systems 97, 101870, 2022 | 19 | 2022 |
| Operationalizing resilience practices in transportation infrastructure planning and project development A Esmalian, F Yuan, AA Rajput, H Farahmand, S Dong, Q Li, X Gao, ... Transportation Research Part D: Transport and Environment 104, 103214, 2022 | 18 | 2022 |
| Unraveling the Temporal Importance of Community-scale Human Activity Features for Rapid Assessment of Flood Impacts F Yuan, Y Yang, Q Li, A Mostafavi IEEE Access, 2021 | 18 | 2021 |
| Identifying damage-related social media data during Hurricane Matthew: A machine learning approach F Yuan, R Liu ASCE International Conference on Computing in Civil Engineering 2019, 207-214, 2019 | 18 | 2019 |
| 高校宿舍碳排放现状调查与减排方案设计——以东南大学九龙湖校区为背景 樊颖， 吕鹏， 陈恺文， 陈明霞， 袁法喜， 黄有亮， 李德智 工程管理学报, 56-60, 2012 | 11 | 2012 |
| Characterizing equitable access to grocery stores during disasters using location-based data A Esmalian, N Coleman, F Yuan, X Xiao, A Mostafavi Scientific reports 12 (1), 20203, 2022 | 10 | 2022 |
| Social media based demographics analysis for understanding disaster response disparity F Yuan, M Li, W Zhai, B Qi, R Liu Construction Research Congress 2020, 1020-1028, 2020 | 10 | 2020 |
| Quantitative measures for integrating resilience into transportation planning practice: Study in Texas CC Lee, AA Rajput, CW Hsu, C Fan, F Yuan, S Dong, A Esmalian, ... Transportation Research Part D: Transport and Environment 113, 103496, 2022 | 7 | 2022 |
Ali Mostafavi, Ph.D., PEUrbanResilience.AI Lab, Zachry Department of Civil Eng., Texas A&M UniversityVerified email at civil.tamu.edu
