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References
  1. 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
  2. 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
  3. Zhang, H., & McKenzie, G. (2024). Geoprivacy Knowledge, Attitudes, and Behaviors in Contemporary China. Geographical Review, 115(3), 393–417. 10.1080/00167428.2024.2422873
  4. 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
  5. 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
  6. 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
  7. Gao, S., Hu, Y., & Li, W. (2023). Handbook of Geospatial Artificial Intelligence. CRC Press. 10.1201/9781003308423
  8. 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
  9. 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
  10. Zhang, H., & McKenzie, G. (2025). Evaluating Spatial Dependency in Regional Similarities of the Population Dynamics Foundation Model. 10.5281/ZENODO.15335931
  11. 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
  12. Zhang, H. (2023). Reimagining GIScience education for enhanced employability. Journal of Spatial Information Science, 27, 143–144. 10.5311/josis.2023.27.307
  13. 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
  14. 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