Publications

Selected Papers

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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
  7. 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.

Journal Articles

  1. Hu, T., Huang, X., Li, Y., & Fu, X. (2025). Harnessing the Power of Multi-Source Media Platforms for Public Perception Analysis: Insights from the Ohio Train Derailment. Big Data and Cognitive Computing, 9(4), 88. https://doi.org/10.3390/bdcc9040088
  2. Vitagliano, J. A., Kavanaugh, J. R., Gorges, B., Fu, X., Todd, K., Milliren, C. E., Raffoul, A., & Austin, S. B. (2025). The STRIPED Dietary Supplement Label Explorer: A Tool to Identify Supplements Sold with Weight-Loss, Muscle-Building, and Cleanse/Detox Claims. The Journal of Nutrition, 0(0). https://doi.org/10.1016/j.tjnut.2025.02.007
  3. 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
  4. Chen, Y., Li, Y., Zhou, K. Z., Fu, X., Liu, L., Bao, S., Sui, D., & Zhang, L. (2024). Global Public Sentiment on Decentralized Finance: A Spatiotemporal Analysis of Geo-tagged Tweets from 150 Countries. arXiv. https://doi.org/10.48550/arXiv.2409.00843
  5. Wang, S., Huang, X., Liu, P., Zhang, M., Biljecki, F., Hu, T., Fu, X., Liu, L., Liu, X., & Wang, R. (2024). Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. International Journal of Applied Earth Observation and Geoinformation, 128, 103734. https://www.sciencedirect.com/science/article/pii/S1569843224000888
  6. Liu, L., Wang, F., Fu, X., Kötter, T., Sturm, K., Guan, W. W., & Bao, S. (2024). Elevating the RRE Framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with Geospatial Analytics Extension for KNIME. International Journal of Applied Earth Observation and Geoinformation, 130, 103948. https://www.sciencedirect.com/science/article/pii/S1569843224003029
  7. 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
  8. Liu, L., Fu, X., Kötter, T., Sturm, K., Haubold, C., Guan, W. W., Bao, S., & Wang, F. (2024). Geospatial Analytics Extension for KNIME. SoftwareX, 25, 101627. https://www.sciencedirect.com/science/article/pii/S2352711023003230
  9. Wang, S., Ning, H., Huang, X., Xiao, Y., Zhang, M., Yang, E. F., Sadahiro, Y., Liu, Y., Li, Z., Hu, T., Fu, X., Li, Z., & Zeng, Y. (2023). Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022. J Med Internet Res, 25, e47225. https://doi.org/10.2196/47225
  10. Wang, D., Wang, Y., Fu, X., Dou, M., Dong, S., & Zhang, D. (2023). Revealing the spatial co-occurrence patterns of multi-emotions from social media data. Telematics and Informatics, 84, 102025. https://www.sciencedirect.com/science/article/pii/S0736585323000898
  11. 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
  12. 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
  13. Liu, L., Wang, R., Guan, W. W., Bao, S., Yu, H., Fu, X., & Liu, H. (2022). Assessing reliability of Chinese geotagged social media data for spatiotemporal representation of human mobility. ISPRS International Journal of Geo-Information, 11(2), 145. https://www.mdpi.com/2220-9964/11/2/145
  14. Hu, T., Wang, S., She, B., Zhang, M., Huang, X., Cui, Y., Khuri, J., Hu, Y., Fu, X., Wang, X., Wang, P., Zhu, X., Bao, S., Guan, W., & Li, Z. (2021). Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. International Journal of Digital Earth, 14(9), 1126–1147. https://doi.org/10.1080/17538947.2021.1952324
  15. Wang, S., Zhang, M., Hu, T., Fu, X., Gao, Z., Halloran, B., & Liu, Y. (2021). A bibliometric analysis and network visualisation of human mobility studies from 1990 to 2020: Emerging trends and future research directions. Sustainability, 13(10), 5372. https://www.mdpi.com/2071-1050/13/10/5372
  16. Wang, P., Ren, H., Zhu, X., Fu, X., Liu, H., & Hu, T. (2021). Spatiotemporal characteristics and factor analysis of SARS-CoV-2 infections among healthcare workers in Wuhan, China. Journal of Hospital Infection, 110, 172–177. https://www.sciencedirect.com/science/article/pii/S0195670121000463
  17. Qiao, M., Wang, Y., Wu, S., Fu, X., Gu, Y., & Dou, M. (2021). A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities. Cities, 110, 103067. https://www.sciencedirect.com/science/article/pii/S0264275120314153
  18. 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.
  19. Wang, Y., Li, M., Fu, X., Shao, S., & Liu, H. (2020). A New Method to Detect the Development Situation of Disasters Based on Social Media Co-word Network. Geomatics and Information Science of Wuhan University, 45(5), 691–698. http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugis20190054
  20. Zhang, L., Chen, X., Lu, J., Fu, X., Zhang, Y., Liang, D., & Xu, Q. (2019). Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3. Hydrology and Earth System Sciences, 23(3), 1649–1666. https://hess.copernicus.org/articles/23/1649/2019/
  21. Hu, K., Luo, Q., Qi, K., Yang, S., Mao, J., Fu, X., Zheng, J., Wu, H., Guo, Y., & Zhu, Q. (2019). Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis. Information Processing & Management, 56(4), 1185–1203. https://www.sciencedirect.com/science/article/pii/S0306457318304199
  22. Wang, T., Wang, Y., Zhao, X., & Fu, X. (2018). Spatial distribution pattern of the customer count and satisfaction of commercial facilities based on social network review data in Beijing, China. Computers, Environment and Urban Systems, 71, 88–97. https://www.sciencedirect.com/science/article/pii/S0198971517302843
  23. 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
  24. Wang, T., Wang, Y., Zhao, X., Fu, X., & Jiang, B. (2018). Network-Constrained Spatial Point Pattern Analysis for Commercial Facilities. Geomatics and Information Science of Wuhan University, 43(11), 1746–1752. http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugis20160558
  25. 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.
  26. Zhang, L., Lu, J., Chen, X., Liang, D., Fu, X., Sauvage, S., & Sanchez Perez, J.-M. (2017). Stream flow simulation and verification in ungauged zones by coupling hydrological and hydrodynamic models: a case study of the Poyang Lake ungauged zone. Hydrology and Earth System Sciences, 21(11), 5847–5861. https://hess.copernicus.org/articles/21/5847/2017/
  27. Wang, Y., Jing, T., Jiang, W., Wang, T., & Fu, X. (2017). Modeling urban air quality trend surface using social media data. Geomatics and Information Science of Wuhan University, 42(1), 14–20. http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugis20150401
  28. Jiang, W., Wang, Y., Tsou, M. H., & Fu, X. (2016). Using geo-targeted social media data to detect outdoor air pollution. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 553–554. https://isprs-archives.copernicus.org/articles/XLI-B2/553/2016/isprs-archives-XLI-B2-553-2016.html
  29. Jiang, W., Wang, Y., Tsou, M.-H., & Fu, X. (2015). Using social media to detect outdoor air pollution and monitor air quality index (AQI): a geo-targeted spatiotemporal analysis framework with Sina Weibo (Chinese Twitter). PloS One, 10(10), e0141185. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141185

Books and Chapters

  1. Xiaokang Fu and Mengling Qiao, Connie Chen and Xiao Huang and Siqin Wang. (1988). Enhanced Disaster Monitoring through Earth Observation and Social Sensing Integration . Elsevier.

Talks

  1. Fu, X. (2024). Replicable Spatial Data Analysis with Geospatial Analytics for KNIME. 2024 The Symposium on Spatiotemporal Data Science (Arlington, VA, USA).
  2. Fu, X. (2024). Digital humanities infrastructure based on open-source executable workflows—A case study of spatial mobility of premodern Chinese literati. 2024 AAG Annual Meeting (Honolulu, HI, USA).
  3. Fu, X., & Kakkar, D. (2023). A comparative study of methods for drive time estimation on geospatial big data: A case study in USA. 2023 Free and Open Source Software for Geospatial Conference (Prizren, Kosovo).
  4. Fu, X., Liu, L., & Li, M. (2023). Validation, calibration, and estimation of 2SFCA and i2SFCA. A case study from Shenzhen, China based on online appointment data. 2023 AAG Annual Meeting (Denver, CO, USA).
  5. Fu, X. (2017). Inferring urban air quality based on social media. 2017 CPGIS Annual Conference (Buffalo, NY, USA).

Posters

  1. Zhou, Y. Z. J. W. M. J. H., & Fu, X. (2024). Flood Extraction Using Spaceborne Ka-Band SAR Images. 2024 American Geophysical Union Conference (AGU24) (Washington, D.C, USA).
  2. Jia, N., Zhang, Z., Liu, J., Viña, A., Lan, X., Wang, R., Cai, Z., Li, Y., Fu, X., Hu, Q., Wu, W., & Song, Q. (2024). AcmNet: A Dual-Branch Attention-Based Deep Learning Framework for Improving Large-Scale Crop Mapping Using Sparse Seasonal Satellite Imagery. 2024 American Geophysical Union Conference (AGU24) (Washington, D.C, USA).
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