I am a postdoctoral researcher at the CGA of Harvard University. My research is dedicated to advancing sustainable development and human well-being through innovative technologies and interdisciplinary collaboration. My primary interests including geographic information science (GIS), geospatial artificial intelligence (GeoAI), environmental management, emergency response, public health, urban computing, social media data mining, social behavior analysis, and the development of reproducible and scalable computational geospatialtools. I am musican in my free time.
Featured Researches
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Reproducible and Replicable GIScience
Study and Development of Reproducible and Replicable GIScience Methods and Tools.
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Environmental and Disaster Management
Air pollution and urban flood study.
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Public Health and Human Well-being
Covid-19 and public health study.
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Tools and Softwares
Open Source Tools and Software for big geospatial data analysis, replicable and reproducible tools.
Publications
- Fu, X., Liu, L., Li, M., Huang, X., & Chen, B. Y. (2025). Calibration of 2SFCA and i2SFCA: A Case Study in Shenzhen, China Based on Online Physician Appointment Data. Transactions in GIS, 29(3), e70061. https://doi.org/10.1111/tgis.70061
- Fu, X., Lingbo, L., Guan, W., Kalra, Y., Bao, S., Kötter, T., & Sturm, K. (2024). Advancing replicable and reproducible giscience: An approach with KNIME. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2024.2446556
- Fu, X., Kakkar, D., Chen, J., Moynihan, K. M., Hegland, T. A., & Blossom, J. (2023). a Comparative Study of Methods for Drive Time Estimation on Geospatial Big Data: a Case Study in USA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48. https://par.nsf.gov/biblio/10492127
- Zhang†, M., Wang†, S., Hu†, T., Fu†, Xiaokang, Wang, X., Hu, Y., Halloran, B., Li, Z., Cui, Y., Liu, H., Liu, Z., & Bao, S. (2022). Human mobility and COVID-19 transmission: a systematic review and future directions. Annals of GIS, 28(4), 501–514. https://doi.org/10.1080/19475683.2022.2041725
- Fu, X., Wang, Y., Li, M., Dou, M., Qiao, M., & Hu, K. (2020). Community evolutional network for situation awareness using social media. IEEE Access, 8, 39225–39240.
- Yandong, W., Fu, X., & Li, M. (2018). A new social media topic mining method based on co-word network. Geomatics and Information Science of Wuhan University, 43(12), 2287–2294. http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugis20180225
- Wang, Y.-dong, Fu, X., Jiang, W., Wang, T., Tsou, M.-H., & Ye, X.-yue. (2017). Inferring urban air quality based on social media. Computers, Environment and Urban Systems, 66, 110–116.
GitHub Stats
Services
As CEO of Spatial Search People (SSP). SSP is a non-profit scientific community of scholars from around the world. Our current work mainly focuses on extracting and mining the sentiment of Chinese Weibo data. We are also interested in the application of spatial search and spatial data mining in social media.
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