Li Z., Huang X., Ye X., Jiang Y., Martin Y., Ning H., Hodgson M., Li X., (2021), Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data, Scientific Reports (in press)
Jiang, Y., Guo, D., Li, Z. Hodgson, M., (2021) A novel big data approach to measure and visualize urban accessibility. Computational Urban Science. 1, 10 (2021). https://doi.org/10.1007/s43762-021-00010-1
Martín, Y., Li, Z. Ge, Y., Huang, X. (2021) Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level. Social Sciences, https://doi.org/10.3390/socsci10060227
Huang X., Li Z., Jiang Y., Li X., Porter D. (2020) Twitter reveals human mobility dynamics during the COVID-19 pandemic, PloS One, https://doi.org/10.1371/journal.pone.0241957
Martín Y., Cutter S.L. Li Z, Emrich C., Mitchell, J.T. (2020) Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria. Population and Environment , https://doi.org/10.1007/s11111-020-00338-6
Hu L., Li Z., Ye X., (2020) Delineating and Modelling Activity Space Using Geotagged Social Media Data, Cartography and Geographic Information Science, https://doi.org/10.1080/15230406.2019.1705187
Martín Y., Cutter S.L., Li Z., (2020) Bridging social media and survey data for the evacuation assessment of hurricanes, Natural Hazard Review, 21(2), https://doi.org/10.1061/(ASCE)NH.1527-6996.0000354
Jiang Y., Li Z., Cutter S., (2019), Social network, activity space, sentiment, and evacuation: what can social media tell us?Annals of the American Association of Geographers
Huang X., Wang C., Li Z., (2019) High-Resolution Population Grid in the CONUS using Microsoft Building Footprints: a feasibility study, in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, November 5, Chicago, Illinois, USA
Dahal, Kumar, Li Z., (2019), Spatiotemporal Topic Modeling and Sentiment Analysis of Global Climate Change Tweets, Social Network Analysis and Mining (in press)
Hu F., Li Z., Yang C., Jiang Y., (2018) A graph-based approach to detect the tourist movement pattern using social media data, Cartography and Geographic Information Science.
Jiang Y., Li Z., Ye X.,(2018), Measuring inter-city network using digital footprints from Twitter users, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on PredictGIS, 11/06/2018, Seattle, Washington, USA (accepted).
Deng, C., Lin, W., Ye, X., Li, Z., Zhang, Z., Xu, G. (2018) Social media data as a proxy for hourly fine-scale electric power consumption estimation. Envrionment and Planning A: Economy and Space.
Jiang Y., Li Z., Ye X. (2018) Understanding Demographic and Socioeconomic Bias of Geotagged Twitter Users at the County Level, Cartography and Geographic Information Science
Martín, Y., Li, Z., & Cutter, S. L. (2017). Leveraging Twitter to gauge evacuation compliance: spatiotemporal analysis of Hurricane Matthew. PLoS one, 12(7), e0181701.
Liu X., Huang Q., Li Z. (2017), The impact of MTUP to explore online trajectories for human mobility studies. Proceedings of the 1st ACM SIGSPATIAL International Workshop on PredictGIS
Huang Q., Li Z., Li J., (2016), Mining Frequent Trajectory Patterns from Online Footprints, 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.