Selected work

  1. Fan, C., Zhang, C., Yahja, A., & Mostafavi, A., (2021). Disaster City Digital Twin: a vision for integrating artificial and human intelligence for disaster management, International Journal of Information Management, 102049. [IF: 19.2]
  2. Zhang, C., Fan, C., Yao, W., Hu, X., & Mostafavi, A., (2019). Social media for intelligent public information and warning in disasters: an interdisciplinary review. International Journal of Information Management, 49, 190-207. [IF: 19.2]
  3. Liu, T., Fan, C., & Yabe, T. (2023). Quantifying complex urban spillover effects via physics-based deep learning. [Preprint]
  4. Xia, Y., McCracken, T., Liu, T., Chen, P., Metcalf, A., & Fan, C. (2024). Understanding the Disparities of PM2. 5 Air Pollution in Urban Areas via Deep Support Vector Regression. Environmental Science & Technology, 58(19), 8404-8416. [IF: 10.8]
  5. Zhewei, L. I. U., Huang, L., Fan, C., & Mostafavi, A. (2023). FairMobi-Net: A Fairness-Aware Deep Learning Model for Urban Mobility Flow Generation. [Preprint]
  6. Fan, C., Jiang, X., Lee, R., & Mostafavi, A. (2022). Data-driven contact network models of COVID-19 reveal trade-offs between costs and infections for optimal local containment policies. Cities, 128, 103805. [IF: 6.0]
  7. Fan, C., Jiang, X., Lee, R., & Mostafavi, A., (2022). Equality of access and resilience in urban population-facility networks, npj Urban Sustainability, 2, 9. [IF: 9.1]
  8. Fan, C., & Miller, S. A., (2018). Reducing greenhouse gas emissions for prescribed concrete compressive strength. Construction and Building Materials, 167, 918-928. [IF: 7.4]
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