Tahmasbi, B., F. Roozkhosh, X.A. Yao. (2024). Encounter Network and its application to study epidemic spreading. Transportation Research Record. (Accepted).
Tian, Y., Yao, X.A.*, Madden, M. Grundstein, A. (2023). Synergic effects of meteorological factors on urban form-outdoor exercise relationship: A study with crowdsourced data. Journal of Geographical System. https://doi.org/10.1007/s10109-023-00424-x.
Yao, X.A*., A. Crooks, B Jiang., J. Krisp, X. Liu, H. Huang. (2023). An Overview of Urban Analytical Approaches to Combating the Covid-19 Pandemic. Environment and Planning B: Urban Analytics and City Science. (In press). https://doi.org/10.1177/239980832311747
Yang, H., X. Yao*, R. Liu, C. Whalen. (2023). Developing a place-time-specific transmissibility index to measure and examine the spatiotemporally varying transmissibility of COVID-19. Annals of the American Association of Geographers. https://doi.org/10.1080/24694452.2023.2182758.
Tian, Y., Wang, A., Mora, S., deSouza, P., Yao, X., Duarte, F., Lin, H., & Ratti, C. (2023). Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring. Applied Geography, 154, 102943. https://doi.org/10.1016/j.apgeog.2023.102943
Wei, X., & Yao, X. (2022). A GIS representation framework for location-based social media activities. Transactions in GIS, 26, 1444– 1464. https://doi.org/10.1111/tgis.12929
Tian, Y., deSouza, P., Mora, S., Yao, X., Duarte, F., Norford, L. K.,Lin, H., Ratti, C. (2022). Evaluating the Meteorological Effects on the Urban Form–Air Quality Relationship Using Mobile Monitoring. Environmental Science & Technology. doi:10.1021/acs.est.1c04854
Huang, H., Yao, X. A., Krisp, J. M., & Jiang, B. (2021). Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions. Computers, Environment and Urban Systems, 90, 101712. https://doi.org/10.1016/J.COMPENVURBSYS.2021.101712
Tian, Y.
X.Yao*. 2021. Urban form, traffic volume, and air quality: a spatiotemporal stratified approach. Environment and Planning B: Urban Analytics and City Science.
https://doi.org/10.1177/2399808321995822
Mertzlufft, C. E., M. Madden, N. Gottdenker, J. Runk, A. Saldana, S. Tanner, J. Calzada,
X. Yao. 2020. Landscape disturbance impacts on Attalea butyracea palm distribution in central Panama. International Journal Of Health Geographics 19, 58(2020). doi:
10.1186/s12942-020-00244-y
Liu,R.,
X.Yao, C. Guo & X. Wei (2020) Can we forecast presidential election using twitter data? An integrative modeling approach.
Annals of GIS, DOI:
10.1080/19475683.2020.1829704
Tian,Y.,
X.Yao*, L .Mu. Q. Fan. (2020). Integrating meteorological factors for a better understanding of the urban form-air quality relationship.
Landscape Ecology. 35(10): 2357-2373.
https://doi.org/10.1007/s10980-020-01094-6
Rickless,D., X, Yao*, B. Orland, M. Welch-Devine. (2020). Assessing social vulnerability through a local lens: An integrated geovisual approach. Annals of the American Association of Geographers. 110(1):36-66. https://doi.org/10.1080/24694452.2019.1625750
Liu*, G. X. Yao*, Z. Luo, S. Kang, W. Long, Q. Fan, P. Gao. (2019). Agglomeration Centrality to examine spatial scaling law in cities. Computers, Environment and Urban Systems. 77:101357.
Fan, Q., X.Yao*, Spatio-temporal Analysis and Data Mining of the 2014-2016 Ebola Virus Disease Outbreak in West Africa. (2019) In Y. Lu., & E. Delmelle (Eds.), Geospatial Technologies for Urban Health. Springer. pp.181-208.
Yao, X., Huang, H., Jiang, B., & Krisp, J. M. (2019). Representation and analytical models for location-based big data. International Journal of Geographical Information Science, 1-7. https://doi.org/10.1080/13658816.2018.1562068
Tian, Y*., Yao, X.*, & Chen, L*. (2019). Analysis of spatial and seasonal distributions of air pollutants by incorporating urban morphological characteristics. Computers, Environment and Urban Systems 75 : 35-48.
Wei, X., & Yao, X.* (2018). A Conceptual Framework for Representation of Location-based Social Media Activities. In 10th International Conference on Geographic Information Science (GIScience 2018). Melbourne, Australia: Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. doi:10.4230/LIPIcs.GISCIENCE.2018.62