SELECTED PUBLICATIONS
Niu, Y., Zhang, Z., Yuan, M., Cheng, T., and Li, W., 2026. Toward Causal Reasoning in GeoAI: a Three-Tier Framework for Spatial Decision Support. Transactions in GIS. https://doi.org/10.1111/tgis.70372
Zhang, Z., Huang, X., Ye, X., Yuan, M., Jain, D., Li, W., Gao, S., Shekhar, S., He, Z., Liu, H. and Cheng, T., 2026. CyberGeoAI For Intelligent Spatial Decision Support. Transactions in GIS, 30(5), p.e70362.
Liu, J., Zhang, Z., Hu, N., and Yuan, N. 2026. SECT: A Spatiotemporal Explicit Causal Transformer for Path-Faithful Spatiotemporal Attribution. International Journal of Geographical Information Science, 1-26. https://doi.org/10.1080/13658816.2026.2656266
Zhang, Z., Song, Z., Chang, P., Chapman, P., Morrison, M., Danabasoglu, G., Tao, J., Petrik, C., and Tommasi, D., 2026. Sustainable Blue: A Participatory Spatial Decision Support System. Annals of AAG, 1-17. https://doi.org/10.1080/24694452.2026.2648341
Lee, J., Paal, S., Zhang, Z., 2025. A data-driven approach to predicting power outages during winter storms in the Southern U.S. leveraging nonparametric machine learning models. Computational Urban Science, Computational Urban Science, 5(1), 62
Xie, Y., Zhang, Z., Liu, J., Song, Z., 2025. Enhanced Maritime Navigation: Integrating Risk-Aware Vessel Routing with Advanced Dijkstra Algorithm and Multicriteria Decision Analysis. Maritime Policy & Management, 1-22
Song, Z., Zhang, Z., Sussman, A., Xie, Y., Brenner, J. and Liu, J., 2025. Netcdfaster: Optimizing Netcdf Data Querying and Geo-Visualization Using High-Performance Machine Learning. Software X, 31, p. 102269
Liu, J., Song, Z., Xie, Y. and Zhang, Z., 2025. Enhancing Management Strategy Evaluation: Implementation of a TOPSIS-Based Multi-Criteria Decision-Making Framework for Harvest Control Rules. Fishes, 10(4), p.140
Ye, X., Newman, G., Zhai, W., Retchless, D., Das, S., Ham, Y., Zou, L., Huang, X. and Zhang, Z., 2025. Toward Coastal Infrastructure Resiliency: An AI-Enabled Decision Support
Framework for Multiscale Comprehension and Stakeholder Empowerment. Transactions of the American Philosophical Society, 114(1), pp.65-97
Li, D., Zhao, Y., Wang, Z., Jung, C. and Zhang, Z., 2024. Large language model-driven structured output: A comprehensive benchmark and spatial data generation framework. ISPRS International Journal of Geo-Information, 13(11), p.405
Zhang, Z., Li, D., Zhang, Z. and Duffield, N., 2024. Mining spatiotemporal mobility patterns using improved deep time series clustering. ISPRS International Journal of Geo-Information, 13(11), p.374
Song, Z., Zhang, Z., Lyu, F., Bishop, M., Liu, J. and Chi, Z., 2024. From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent-Based Modeling for Large-Scale Disease Spread. Sustainability, 16(12), p.5036
Zhang, Z., King, J., Wang, S., Sinton, D., Wilson, J. and Shook, E., 2024. Moving CyberGIS education forward: Knowing what matters and how it is decided. Transactions in GIS, 28(7), pp.2180-2194
Hu, N., Zhang, Z., Duffield, N., Li, X., Dadashova, B., Wu, D., Yu, S., Ye, X., Han, D. and Zhang, Z., 2024. Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data. Computational Urban Science, 4(1), p.6
Hillin, J., Alizadeh, B., Li, D., Thompson, C.M., Meyer, M.A., Zhang, Z. and Behzadan, A.H., 2024. Designing user-centered decision support systems for climate disasters: what information do communities and rescue responders need during floods?Journal of Emergency Management, 2024, 22(7), p. 71-85
Song, Z., Chapman, P., Tao, J., Chang, P., Gao, H., Liu, H., Brannstrom, C. and Zhang, Z., 2024. Mapping the Unheard: Analyzing Tradeoffs Between Fisheries and Offshore Wind Farms Using Multicriteria Decision Analysis. Annals of the American Association of Geographers, 114(3), pp.536-554
Li, X., Fu, D., Nielsen-Gammon, J., Gangrade, S., Kao, S.C., Chang, P., Hernández, M.M., Voisin, N., Zhang, Z. and Gao, H., 2023. Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey. Journal of Hydrology, 616, p.128774
Li, D., Zhang, Z., Alizadeh, B., Zhang, Z., Duffield, N., Meyer, M.A., Thompson, C.M., Gao, H. and Behzadan, A.H., 2024. A reinforcement learning-based routing algorithm for large street networks. International Journal of Geographical Information Science, 38(2), pp.183-215
Du, S., Yao, J., Shen, G.C., Lin, B., Udo, T., Hastings, J., Wang, F., Wang, F., Zhang, Z., Ye, X. and Zhang, K., 2023. Social drivers of mental health: A US study using machine learning. American journal of preventive medicine, 65(5), pp.827-834
Yang, Y., Chen, X., Gao, S., Li, Z., Zhang, Z. and Zhao, B., 2023. Embracing geospatial analytical technologies in tourism studies. Information Technology & Tourism, 25(2), pp.137-150
Li, D. and Zhang, Z., 2023. MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence. Plos one, 18(11), p.e0293034
Li, X., Yu, S., Huang, X., Dadashova, B., Cui, W. and Zhang, Z., 2022. Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas. Accident Analysis & Prevention, 173, p.106721
Huang, X., Xu, Y., Liu, R., Wang, S., Wang, S., Zhang, M., Kang, Y., Zhang, Z., Gao, S., Zhao, B. and Li, Z., 2022. Exploring the spatial disparity of home‐dwelling time patterns in the USA during the COVID‐19 pandemic via Bayesian inference. Transactions in GIS, 26(4), pp.1939-1961
Alizadeh, B., Li, D., Hillin, J., Meyer, M.A., Thompson, C.M., Zhang, Z. and Behzadan, A.H., 2022. Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos. Advanced Engineering Informatics, 54, p.101730
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)
Zhang, Z., Yin, D., Virrantaus, K., Ye, X. and Wang, S., 2021. Modeling human activity dynamics: an object-class oriented space–time composite model based on social media and urban infrastructure data. Computational Urban Science, 1(1), p.7
Jiang, H., Hu, H., Li, B., Zhang, Z., Wang, S. and Lin, T., 2021. Understanding the non-stationary relationships between corn yields and meteorology via a spatiotemporally varying coefficient model. Agricultural and Forest Meteorology, 301, p.108340
Li, Y., Gao, H., Allen, G.H. and Zhang, Z., 2021. Constructing reservoir area–volume–elevation curve from TanDEM-X DEM data. IEEE journal of selected topics in applied earth observations and remote sensing, 14, pp.2249-2257
Li, X., Dadashova, B., Yu, S. and Zhang, Z., 2020. Rethinking highway safety analysis by leveraging crowdsourced waze data. Sustainability, 12(23), p.10127
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), p.4988.
Zhang, Z., Zhao, J., and Sullivan, C.J., 2019. Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks. PLoS One, 14(5), p.e0216131. Zhang and Zhao contributed equally.
Armstrong, M.P., 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), pp.39-56
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), pp. 1364-1381
Zhang, Z., Demšar, U., Wang, S. and Virrantaus, K., 2018. 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), pp.349-366
Zhang, Z., Demšar, 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), pp.1922-1939