Publications

Book edited:

Special issues and proceedings edited:

Peer-reviewed research articles:

  1. Wenwen Li, Samantha Arundel, Song Gao, Michael Goodchild, Yingjie Hu, Shaowen Wang, and Alexander Zipf (2024): GeoAI for Science and the Science of GeoAI. Journal of Spatial Information Science, 29, 1-17. [PDF]
  2. Kai Sun, Ryan Zhenqi Zhou, Jiyeon Kim, and Yingjie Hu (2024): PyGRF: An Improved Python Geographical Random Forest Model and Case Studies in Public Health and Natural Disasters. Transactions in GIS, 1-16. [PDF]
  3. Ryan Zhenqi Zhou, Yingjie Hu, Lei Zou, Heng Cai, and Bing Zhou (2024): Understanding the disparate impacts of the 2021 Texas winter storm and power outages through mobile phone location data and nighttime light images. International Journal of Disaster Risk Reduction, 104339. [PDF]
  4. Yingjie Hu, Michael Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton Lunga, and Shawn Newsam (2024): A five-year milestone: reflections on advances and limitations in GeoAI research. Annals of GIS, 30(1), 1-14. [PDF]
  5. Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, and Chris Cundy (2024): On the opportunities and challenges of foundation models for GeoAI. ACM Transactions on Spatial Algorithms and Systems, 10(2), Article 11. [PDF]
  6. Jill Tirabassi, Jia Wang, Ryan Zhenqi Zhou, and Yingjie Hu (2024): Human mobility data demonstrates increase in park visitation since start of COVID-19 pandemic in Buffalo, New York. Preventive Medicine Reports, 102650. [PDF]
  7. Hoda Abdel Magid, Michael Desjardins, and Yingjie Hu (2024): Opportunities and shortcomings of AI for spatial epidemiology and health disparities research on aging and the life course. Health & Place, 89, p.103323. [PDF]
  8. Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, and Kenneth Joseph (2023): Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science, 37(11), 2289-2318. [PDF]
  9. Kai Sun, Yingjie Hu, Gaurish Lakhanpal, Ryan Zhenqi Zhou (2023): Spatial cross-validation for GeoAI. In: S. Gao, Y. Hu, and W. Li (Eds), Handbook of Geospatial Artificial Intelligence, Taylor & Francis Group. [PDF]
  10. Xuke Hu, Zhiyong Zhou, Hao Li, Yingjie Hu, Fuqiang Gu, Jens Kersten, Hongchao Fan, and Friederike Klan (2023): Location reference recognition from texts: A survey and comparison. ACM Computing Surveys, 1-35. [PDF]
  11. Kai Sun, Yingjie Hu, Yue Ma, Ryan Zhenqi Zhou, and Yunqiang Zhu (2023): Conflating point of interest (POI) data: A systematic review of matching methods. Computers, Environment and Urban Systems, 103, 101977. [PDF]
  12. Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang, and Daniel Goldberg (2023): TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERT. International Journal of Digital Earth, 16(1), 3045-3063. [PDF]
  13. Ryan Zhenqi Zhou, Yingjie Hu, Jill Tirabassi, Yue Ma, and Zhen Xu (2022): Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation. International Journal of Health Geographics, 21(1), 1-18. [PDF]
  14. Gengchen Mai, Yingjie Hu, Song Gao, Ling Cai, Bruno Martins, Johannes Scholz, Jing Gao, and Krzysztof Janowicz (2022): Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning. Transactions in GIS, 26, 3118-3124. [PDF]
  15. Dalton Lunga, Yingjie Hu, Shawn Newsam, Song Gao, Bruno Martins, Lexie Yang, and Xueqing Deng (2022): GeoAI at ACM SIGSPATIAL: The new frontier of geospatial artificial intelligence research. SIGSPATIAL Special, 13(1-3), 21-32. [PDF]
  16. Di Zhu and Yingjie Hu (2022): Artificial Intelligence, In L. Lees and D. Demeritt (Eds), Concise Encyclopedia of Human Geography, Edward Elgar Publishing. [PDF]
  17. Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, and Stefano Ermon (2022): Towards a foundation model for geospatial artificial intelligence. In: Proceedings of the 30th International Conference on Advances in Geographic Information Systems, (ACM SIGSPATIAL GIS), Article 106, Nov. 1-4, Seattle, USA. [PDF]
  18. Yue Ma, Yingjie Hu, Glenn R Moncrieff, Jasper A Slingsby, Adam M Wilson, Brian Maitner, and Ryan Zhenqi Zhou (2022): Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables. International Journal of Applied Earth Observation and Geoinformation, 114, 103060. [PDF]
  19. Achilleas Psyllidis, Song Gao, Yingjie Hu, Eun-Kyeong Kim, Grant McKenzie, Ross Purves, May Yuan, and Clio Andris (2022): Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future. Computational Urban Science, 2(1), 1-13. [PDF]
  20. Ting Chang, Yingjie Hu, Dane Taylor, and Brian Quigley (2022): The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level. Health & Place, 73, 102736. [PDF]
  21. Yingjie Hu, Zhipeng Gui, Jimin Wang, and Muxian Li (2022): Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation. International Journal of Geographical Information Science, 36(4), 799–821. [PDF]
  22. Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, and Ni Lao (2022): A review of location encoding for GeoAI: methods and application. International Journal of Geographical Information Science, 36(4), 639–673. [PDF]
  23. Yingjie Hu, Brian Quigley, and Dane Taylor (2021): Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across US states during COVID-19. PlOS ONE, 16(12), p.e0255757. [PDF]
  24. John P. Wilson, Kevin Butler, Song Gao, Yingjie Hu, Wenwen Li and Dawn J. Wright (2021): A five-star guide for achieving replicability and reproducibility when working with GIS software and algorithms. Annals of the American Association of Geographers, 111 (5), 1311-1317. [PDF]
  25. Kai Sun, Yingjie Hu, Jia Song, and Yunqiang Zhu (2021): Aligning geographic entities from historical maps for building knowledge graphs. International Journal of Geographical Information Science, 35(10), 2077-2106. [PDF]
  26. Yingjie Hu and Ruo-Qian Wang (2020): Understanding the removal of precise geotagging in tweets. Nature Human Behaviour, 4, 1219–1221. [PDF]
  27. Trisalyn Nelson, Peter Kedron, Michael F. Goodchild, Stewart Fotheringham, Amy Frazier, Wenwen Li, Song Gao, Yingjie Hu, Ming-Hsiang Tsou, May Yuan, and Bo Zhao (2020): Digital Contact Tracing and Surveillance: Geospatial opportunities, limitations, and research directions. ASU Spatial Analysis Research Center (SPARC) White Paper, pp 1-13. [PDF]
  28. Jimin Wang, Yingjie Hu, and Kenneth Joseph (2020): NeuroTPR: A Neuro-net ToPonym Recognition model for extracting locations from social media messages. Transactions in GIS, 24(3), 719-735. [PDF]
  29. Ruo-Qian Wang, Yingjie Hu, Zikai Zhou, and Kevin Yang (2020): Tracking flooding phase transitions and establishing a passive hotline with AI-enabled social media data. IEEE Access Journal, 8(1), 103395-103404. [PDF]
  30. Yingjie Hu and Jimin Wang (2020): How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey, In: Proceedings of the 11th International Conference on Geographic Information Science (GIScience 2021), Sep. 27-30, Poznan, Poland. [PDF]
  31. Yingjie Hu and Ben Adams (2020): Harvesting big geospatial data from natural language texts. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer. [PDF]
  32. Bo Yan, Gengchen Mai, Yingjie Hu, and Krzysztof Janowicz (2020): Harnessing heterogeneous big geospatial data. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer. [PDF]
  33. Song Gao, Mingxiao Li, Jinmeng Rao, Gengchen Mai, Timothy Prestby, Joseph Marks, and Yingjie Hu (2020): Automatic urban road network extraction from massive GPS trajectories of taxis. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer. [PDF]
  34. Krzysztof Janowicz, Song Gao, Grant McKenzie, Yingjie Hu, and Budhu Bhaduri (2020): GeoAI: Spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond, International Journal of Geographical Information Science, 34(4), 625-636. [PDF]
  35. Clio Andris, Edward Ayers, Karl Grossner, Yingjie Hu, Kathy Hart, James Thatcher, Robert T. Tally Jr, and Alberto Giordano. (2020): Towards Geospatial Humanities: Reflections from Two Panels. International Journal of Humanities and Arts Computing, 14(1-2), 6-26. [PDF]
  36. Yingjie Hu, Song Gao, Dalton Lunga, Wenwen Li, Shawn Newsam, and Budhendra Bhaduri (2019): GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions, ACM SIGSPATIAL Special, 11(2), 5-15. [PDF]
  37. Jimin Wang and Yingjie Hu (2019): Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform, In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, Nov. 5, Chicago, USA. [PDF]
  38. Jimin Wang and Yingjie Hu (2019): Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers. Transactions in GIS, 23(6), 1393-1419. [PDF]
  39. Yingjie Hu, Chengbin Deng, and Zhou Zhou (2019): A semantic and sentiment analysis on online neighborhood reviews for understanding the perceptions of people toward their living environment. Annals of the American Association of Geographers, 109(4), 1052-1073. [PDF]
  40. Yingjie Hu, Wenwen Li, Dawn Wright, Orhun Aydin, Daniel Wilson, Omar Maher, and Mansour Raad (2019): Artificial intelligence approaches. In J. P. Wilson (Eds), The Geographic Information Science and Technology Body of Knowledge, University Consortium for Geographic Information Science. [PDF]
  41. Yingjie Hu (2019): Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example. In Proceedings of the Workshop on Replicability and Reproducibility in Geospatial Research, Feb. 11-12, 2019, Tempe, USA. [PDF]
  42. Krzysztof Janowicz, Grant McKenzie, Yingjie Hu, Rui Zhu, and Song Gao (2019): Using semantic signatures for social sensing in urban environments, In C. Antoniou, L. Dimitriou, & F. Pereira (Eds), Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 31-54, Elsevier. [PDF]
  43. Yingjie Hu (2018): Geo-text data and data-driven geospatial semantics. Geography Compass, 12(11), e12404. [PDF]
  44. Yingjie Hu, Huina Mao, and Grant McKenzie (2018): A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements. International Journal of Geographical Information Science, 33(4), 714-738. [PDF]
  45. Grant McKenzie, Zheng Liu, Yingjie Hu, and Myeong Lee (2018): Identifying urban neighborhood names through user-contributed online property listings, ISPRS International Journal of Geo-Information, 7(10), 388-411. [PDF]
  46. Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, and Song Gao (2018): ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise, Transactions in GIS, 22(1), 348-369. [PDF]
  47. Yingjie Hu (2018): Geospatial semantics. In B. Huang, T. J. Cova, & M. Tsou et al. (Eds), Comprehensive Geographic Information Systems, also included in Elsevier’s Reference Module in Earth Systems and Environmental Sciences, 1, 80-94, Elsevier. [PDF]
  48. Song Gao, Hanzhou Chen, Wei Luo, Yingjie Hu, and Xinyue Ye (2018): Spatio-temporal-network visualization for exploring human movements and interactions in physical and virtual spaces. In S.L. Shaw & D. Sui (Eds), Human Dynamics Research in Smart and Connected Communities, 67-80, Springer. [PDF]
  49. Yingjie Hu and Krzysztof Janowicz (2018): An empirical study on the names of points of interest and their changes with geographic distance, In: Proceedings of the 10th International Conference on Geographic Information Science (GIScience 2018), Aug. 29-31, Melbourne, Australia. [PDF] [Best Paper Award]
  50. Yingjie Hu (2018): EUPEG: Towards an Extensible and Unified Platform for Evaluating Geoparsers. In Proceedings of the 12th Workshop on Geographic Information Retrieval, article 3, ACM Press. [PDF]
  51. Yingjie Hu, Krzysztof Janowicz, and Helen Couclelis (2017): Prioritizing disaster mapping tasks for online volunteers based on information value theory. Geographical Analysis, 49, 175–198. [PDF]
  52. Yingjie Hu, Xinyue Ye, and Shih-Lung Shaw (2017): Extracting and analyzing semantic relatedness between cities using news articles. International Journal of Geographical Information Science, 31(12), 2427-2451. [PDF]
  53. Song Gao, Krzysztof Janowicz, Daniel Montello, Yingjie Hu, Jiue-An Yang, Grant McKenzie, Yiting Ju, Li Gong, Ben Adams, and Bo Yan (2017): A data-synthesis-driven method for detecting and extracting vague cognitive regions. International Journal of Geographical Information Science, 31(6), 1245-1271. [PDF]
  54. Yingjie Hu and Wenwen Li (2017): Spatial data infrastructures. In J. P. Wilson (Eds), The Geographic Information Science & Technology Body of Knowledge, University Consortium for Geographic Information Science. [PDF]
  55. Grant McKenzie and Yingjie Hu (2017): The “Nearby” exaggeration in real estate, in Proceedings of the Workshop on Cognitive Scales of Spatial Information, Sep. 4, 2017, L’Aquila, Italy. [PDF]
  56. Yingjie Hu, Huina Mao, and Grant McKenzie (2017): An NLP and geospatial workflow for harvesting local place names from geotagged social Web, in Proceedings of the International Symposium on Location-Based Social Media and Tracking Data, July 1-2, 2017, Washington DC, USA. [PDF]

Publications in 2016 and before

A full publication list is available on Google Scholar.