Selected Publications

  • Zhang, Z., Zou, L., Li, W., Usery, L., Albrecht, J. and Armstrong, M., 2021. Cyberinfrastructure and intelligent spatial decision support systems. Transactions in GIS, 25 (4), 1651-1653. DOI: https://doi.org/10.1111/tgis.12835

  • Bishop, M.P., B. W. Young, Z. Xu, S. Wang, and Z. Zhang, 2021. CyberGIS and geospatial data science for advancing geomorphology.. In: Technology-driven geomorphology: Geospatial data science. Elsevier Publishing Inc. Oxford (accepted)

  • Li, Y., Gao, H., George, A., Zhang, Z., 2021. Constructing Reservoir Area-Volume-Elevation Curve. Applied Earth Observations and Remote Sensing, 14, 2249-2257.

  • Bahareh A., Li, D., Zhang, Z., and Behzadan A., 2021. Feasibility Study of Urban Flood Mapping Using Traffic Signs for Route Optimization. 2021. Proceeding of EG-ICE 2021 Workshop on Intelligent Computing in Engineering, pp 572-581. 

  • Jiang, H., Hu, H., Li, B., Zhang, Z., Wang, S., Lin, T., 2021. Understanding the Non-Stationary Relationships Between Corn Yield and Meteorology via a Spatiotemporally Varying Coefficient Model. Agricultural and Forest Meteorology,  301,108340. 

  • Zhang, Z., Yin, D., Virrantaus, K., Ye, X., Wang, S., 2021. Modeling Population Dynamics: An Object-Oriented Space-Time Composite Model based on Social Media and Urban Infrastructure Data. Computational Urban Science 1(1), 1-13. 

  •  Zhang, Z., 2020. Thematic accuracy. The Geographic Information Science & Technology Body of Knowledge (2ndQuarter 2020 Edition) John P. Wilson(ed). DOI: 10.22224/gistbok/2020.2.3

  • ‡ Li, D., Chaudhary, H., and Zhang*, Z., 2020. Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining. International Journal of Environmental Research and Public Health, 17(14), 4988. 

  • Xu, B., Li, Y., Han, F., Zheng, Y., Ding, W., Zhang, C., Wallington, K. and Zhang, Z., 2020. The transborder flux of phosphorus in the Lancang-Mekong River Basin: Magnitude, patterns, and impacts from the cascade hydropower dams in China. Journal of Hydrology, 590: 125201.

  • Zhang, Z., Laakso, T., Wang, Z., Pulkkinen, S., Ahopelto, S., Virrantaus, K., Li, Y., Cai, X., Zhang, C., Vahala, R. and Sheng, Z., 2020. Comparative Study of AI-Based Methods—Application of Analyzing Inflow and Infiltration in Sanitary Sewer Subcatchments. Sustainability, 12(15): 6254.

  • Li, X., Dadashova, B., Yu, S., and Zhang, Z., 2020. Rethinking highway safety analysis by leveraging crowdsourced Waze data. Sustainability, 12.23 (2020): 10127.

  • ‡ Zhao J., Zhang, Z., Sullivan, C., 2019. Identifying anomalous nuclear radioactive sources using Poisson Kriging and mobile sensor networks, PLoS ONE, 14(5): e021613 

  • Armstrong, M., Wang., S., and Zhang., Z., 2019. The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems. Cartography and Geographic Information Science, 46(1): 39-56.

  • Zhang, Z., 2019. Geospatial Software Institute: A Knowledge Hub for Driving Sustainable Geospatial Software Ecosystem. The 3rd NSF Workshop on Conceptualizing a National Geospatial Software Institute. https://gsi.cigi.illinois.edu/workshop3/position-papers/

  • Zhang, Z., Hu, H., Yin, D., Kashem, S., Li, R., Cai, H., Perkins, D., and Wang, S., 2018. A CyberGIS-enabled multi-criteria spatial decision support system: a case study on flood emergency management. International Journal of Digital Earth, 12(11): 1364-1381.

  • Seppänen, H., Luokkala, P., Zhang, Z., 2018. Torkki, P., and Virrantaus, K. Critical infrastructure vulnerability- a method for identifying the infrastructure service failure interdependencies, International Journal of Critical Infrastructure Protection, 22: 25-38. 

  • Zhang, Z., Demsǎ, U., Wang, S., and Virrantaus, K., 2017. A spatial fuzzy influence diagram for modelling spatial objects’ dependencies: a case study on tree-related electric outages. International Journal of Geographical Information Science, 32(2): 349-366.

  • Zhang, Z., and Virrantaus, K., 2016. Use of fuzzy decision-making approach in analysis of the vulnerability of street network for disaster management. Nordic Journal of Surveying and Real Estate Research, 11(2): 7-19.

  • Zhang, Z., Demsǎ, U., Rantala, J., and Virrantaus, K., 2014. A fuzzy multiple- attribute decision-making modelling for vulnerability analysis on the basis of population information for disaster management. International Journal of Geographical Information Science, 28(9): 1922-1939

‡ Student paper 

* Corresponding author