Publications
Research Areas¶
Data Ethics
GIScience
GeoAI
Work in Progress¶
Zhang, H., Brady, D. Under review. “Contesting Algorithmic Imaginaries at the Interface: ‘Crying Poor’ and User Resistance to Big Data-Enabled Price Discrimination in China’s Platform Economy.” Global Media and China.
Zhang, H., Lee, A. Under review. “Spatial Inequality in Young Adult Indebtedness in the United States.” Finance and Space.
Zhang, J., Zhang, H. Under review. “Beyond Boundaries: Integrating Mixed Methods for Cognitive Region and Place Representation.” Spatial Cognition and Computation.
Lin, Y., Zhang, H. Under review. “Privacy, Ethics, and Governance in Generative AI for Geography.” Generative AI in Geography.
Refereed Journal Articles¶
Lin, Y., Yeap, Q. F., Zhang, H. (2026). “Citizen Science and Geoprivacy: Empirical Analysis of Location Masking in Crowdsensing Networks.” The Professional Geographer. Lin et al. (2026)
Zhang, H., McKenzie, G. (2026). “Polarized Geoprivacy Attitudes on Chinese Social Media: A Case Study of Weibo.” Digital Geography and Society. Zhang et al. (2026)
Zhang, H., McKenzie, G. (2024). “Geoprivacy Knowledge, Attitudes, and Behaviors in Contemporary China.” Geographical Review. Zhang & McKenzie (2024)
Zhang, H., McKenzie, G. (2023). “Rehumanize Geoprivacy: From Disclosure Control to Human Perception.” GeoJournal. Zhang & McKenzie (2022)
McKenzie, G., Romm, D., Zhang, H., Brunila, M. (2022). “PrivyTo: A Privacy-Preserving Location-Sharing Platform.” Transactions in GIS. McKenzie et al. (2022)
Zhang, H., Malczewski, J. (2018). “Accuracy Evaluation of the Canadian OpenStreetMap Road Networks.” International Journal of Geospatial and Environmental Research. https://
ijger -ojs -txstate .tdl .org /ijger /article /view /69
Papers in Refereed Conference Proceedings¶
McKenzie, G., Zhang, H. (2023). “Platial k-Anonymity: Improving Location Anonymity Through Temporal Popularity Signatures.” International Conference on Geographic Information Science (GIScience). Best Full Paper Award. McKenzie & Zhang (2023)
Book Chapters¶
Zhang, H., McKenzie, G., Kim, J. (2026). “Generative AI and the Future of GIScience Education.” Geography According to Foundation Models. Zhang et al. (2026)
McKenzie, G., Zhang, H., Gambs, S. (2023). “Privacy and Ethics in GeoAI.” Handbook of Geospatial Artificial Intelligence. CRC Press. Gao et al. (2023)
Zhang, H., Malczewski, J. (2017). “Quality Evaluation of Volunteered Geographic Information.” Volunteered Geographic Information and the Future of Geospatial Data. IGI Global. Zhang & Malczewski (2017)
Refereed Short Papers¶
Zhang, H. (2025). “Vector-Based Super-Resolution Mapping with the Population Dynamics Foundation Model.” Abstracts of the International Cartographic Conference. Zhang (2025)
Zhang, H., McKenzie, G. (2025). “Evaluating Spatial Dependency in Regional Similarities of the Population Dynamics Foundation Model.” Association of Geographic Information Laboratories in Europe Conference (AGILE). Zhang & McKenzie (2025)
Zhang, H. (2023). “Place-Based Privacy: A Humanistic Reflection on Solitude and Anonymity.” Conference on Spatial Knowledge and Information Canada. https://
osf .io /adfxv Zhang, H., McKenzie, G. (2023). “Towards Place-Based Privacy: Challenges and Opportunities in the Smart World.” IEEE International Symposium on Technology and Society (ISTAS). Zhang & McKenzie (2022)
Romm, D., Zhang, H., Verma, P., McKenzie, G., Chen, E. (2021). “Data Horror: Mapping (Spatial) Data Privacy Violations onto a Cognitive Account of Horror.” Spatial Data Science Symposium (SDSS). Romm et al. (2021)
Non-refereed Publications¶
Letters to the Editor¶
Zhang, H. (2023). “Reimagining GIScience Education for Enhanced Employability.” Journal of Spatial Information Science. Zhang (2023)
Reports¶
Zhang, H., McKenzie, G., Tomko, M., Egorova, E., Kim, J. (2022). “Report From the First Workshop on Cyber Ethics in Platial Research.” Proceedings of the 3rd International Symposium on Platial Information Science (PLATIAL). Zhang et al. (2022)
News Articles¶
Zhang, H. (2020). “With Coronavirus Containment Efforts, What Are the Privacy Rights of Patients?” The Conversation. https://
theconversation .com /with -coronavirus -containment -effortswhat -are -the -privacy -rights -of -patients -131752
Book Reviews¶
Zhang, H. (2019). “Using Geodata & Geolocation in the Social Sciences: Mapping Our Connected World by David Abernathy, Sage Publishing, London, 2017, 327 pp., paper US$50.00 (ISBN 978-1473908185).” The Canadian Geographer. Zhang (2019)
- Lin, Y., Yeap, Q. F., & Zhang, H. (2026). Citizen Science and Geoprivacy: Empirical Analysis of Location Masking in Large-Scale Crowdsensing Networks. The Professional Geographer, 1–11. 10.1080/00330124.2026.2656680
- Zhang, H., McKenzie, G., & Kim, J. (2026). Generative AI and the Future of GIScience Education. In Geography According to Foundation Models. IOS Press. 10.3233/faia260479
- Zhang, H., & McKenzie, G. (2024). Geoprivacy Knowledge, Attitudes, and Behaviors in Contemporary China. Geographical Review, 115(3), 393–417. 10.1080/00167428.2024.2422873
- Zhang, H., & McKenzie, G. (2022). Towards place-based privacy: Challenges and opportunities in the “smart” world. 2022 IEEE International Symposium on Technology and Society (ISTAS), 1–4. 10.1109/istas55053.2022.10227114
- McKenzie, G., Romm, D., Zhang, H., & Brunila, M. (2022). PrivyTo: A privacy‐preserving location‐sharing platform. Transactions in GIS, 26(4), 1703–1717. 10.1111/tgis.12924
- McKenzie, G., & Zhang, H. (2023). Platial k-Anonymity: Improving Location Anonymity Through Temporal Popularity Signatures. LIPIcs, Volume 277, GIScience 2023, 277, 9:1-9:15. 10.4230/LIPICS.GISCIENCE.2023.9
- Gao, S., Hu, Y., & Li, W. (2023). Handbook of Geospatial Artificial Intelligence. CRC Press. 10.1201/9781003308423
- Zhang, H., & Malczewski, J. (2017). Quality Evaluation of Volunteered Geographic Information: The Case of OpenStreetMap. In Volunteered Geographic Information and the Future of Geospatial Data (pp. 19–46). IGI Global. 10.4018/978-1-5225-2446-5.ch002
- Zhang, H. (2025). Vector-Based Super-Resolution Mapping with the Population Dynamics Foundation Model. Abstracts of the ICA, 10, 1–2. 10.5194/ica-abs-10-321-2025
- Zhang, H., & McKenzie, G. (2025). Evaluating Spatial Dependency in Regional Similarities of the Population Dynamics Foundation Model. 10.5281/ZENODO.15335931
- Romm, D., Zhang, H., Verma, P., McKenzie, G., & Chen, E. (2021). “Data Horror”: Mapping (Spatial) Data Privacy Violations onto a Cognitive Account of Horror. In Spatial Data Science Symposium 2021 (online). eScholarship - University of California. 10.25436/E23S3T
- Zhang, H. (2023). Reimagining GIScience education for enhanced employability. Journal of Spatial Information Science, 27, 143–144. 10.5311/josis.2023.27.307
- Zhang, H., McKenzie, G., Tomko, M., Egorova, E., & Kim, J. (2022). Report from the First Workshop on Cyber Ethics in Platial Research. 10.5281/ZENODO.6413003
- Zhang, H. (2019). Using Geodata and Geolocation in the Social Sciences: Mapping Our Connected World by DavidAbernathy, Sage Publishing, London, 2017, 344 pp., paper $43.70 (ISBN 978‐1473908185). Canadian Geographies / Géographies Canadiennes, 63(2). 10.1111/cag.12532