21. Zhou R.Z., Hu Y., Sun K., Muldoon R., Clark S., & Joseph K. (2025): Explainable GeoAI and statistical analysis reveal complementary insights about disparities of 311 help requests during the 2022 Buffalo blizzard. International Journal of Disaster Risk Reduction, 105635.
20. Sun K., Hu Y., Joseph K., & Zhou R.Z. (2025): GALLOC: a GeoAnnotator for Labeling LOCation descriptions from disaster-related text messages. International Journal of Geographical Information Science, 1-31.
19. Sun K., Zhou R.Z., Kim J., & Hu Y. (2024): PyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters. Transactions in GIS.
18. Zhou R.Z., Hu Y., Zou L., Cai H., & Zhou B. (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, 103, 104339.
17. Tirabassi, J. N., Wang, J., Zhou, R. Z., & Hu, Y. (2024): Human mobility data demonstrates increase in park visitation since start of COVID-19 pandemic in Buffalo, New York. Preventive Medicine Reports, 102650.
16. Sun K., Hu Y., Lakhanpal, G., & Zhou, R.Z. (2023): Spatial cross-validation for GeoAI. Taylor & Francis Group.
15. Hu, Y., Mai, G., Cundy, C., Choi, K., Lao, N., Liu, W., Lakhanpal, G., Zhou, R. Z., & Joseph, K. (2023): Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science, 1-30.
14. Sun, K., Hu, Y., Ma, Y., Zhou, R. Z., & Zhu, Y. (2023): Conflating point of interest (POI) data: A systematic review of matching methods. Computers, Environment and Urban Systems, 103, 101977.
13. Xu Z., Li M., Chen Y., & Zhou R.Z. (2023): Assessing the cycling accessibility of comprehensive parks with online maps: a case study of Nanjing City. Journal of Nanjing Forestry University Natural Science, 1-8 (in Chinese).
12. Zhou R.Z., Hu Y., Tirabassi J.N., Ma Y., & Xu Z. (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, 22.
11. Zhang B., Dong Y., Kelobonye K., Zhou R.Z., & Xu Z. (2022): Delineating walking catchment of the existing and proposed public sports facilities with open-source data: a case study of Nanjing. Applied Spatial Analysis and Policy, 16, 729-749.
10. Chen Y., Zhang B., Li M., Zhou R.Z., & Xu Z. (2022): Concatenating daily exercise routes with public sports facilities, bicycle lanes, and green spaces: a feasibility analysis in Nanjing, China. Land, 11, 2251.
9. Yue M., Hu Y., Moncrieff G.R., Slingsby J.A., Wilson A.M., Maitner B., & Zhou R.Z. (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.
8. Dong Y., Zhang B., Zhou R.Z., & Xu Z. (2022): Assessing the accessibility of swimming pools in Nanjing by walking and cycling using Baidu Maps. International Journal of Geo-Information, 11(10), 515.
7. Zhou R.Z., Xu Z., Liu A., Zhou S., Mu L., & Zhang X. (2021): Mapping the accessibility of medical facilities of Wuhan during the COVID-19 pandemic. International Journal of Geo-Information, 10(5), 318.
6. Xu Z., Zhou R.Z., Wang Y., Han L., & Xing J. (2021): Analysis on walking shed in comprehensive parks and urban form from a Park-City perspective. City Planning Review, 45(03), 81-90 (in Chinese).
5. Xu Z., Liu A., Zhou R.Z., & Han L. (2021): Analyzing and scenarioizing walking routes and urban context of middle school students with Baidu Map: a case study of Jianye District of Nanjing. Modern Urban Research, 2, 33-40+91 (in Chinese).
4. Xu Z., Gao Z., Zhou R.Z., & Zhang J. (2021): Research on campus sitting space: a case study of Nanjing Forestry University. Modern Urban Research, 4, 30-35 (in Chinese).
3. Zhou R.Z. & Xu Z. (2020): Detecting the pedestrian shed and walking route environment of urban parks with open-source data: a case study in Nanjing, China. International Journal of Environmental Research and Public Health, 17(13), 4826.
2. Liu A., Kelobonye K., Zhou R.Z., Xu Q., Xu Z., & Han L. (2020): School commuting mode shift: a scenario analysis for active school commuting using GIS and online map API. International Journal of Geo-Information, 9(9), 520.
1. Zhang J., Zhou R.Z., & Xu Z. (2020): Suitability evaluation of university facilities layout based on demand characteristics: taking several universities in Nanjing as examples. Modern Urban Research, 4, 43-51 (in Chinese).

8. Oral presentation (2025): Explainable GeoAI and statistical analysis reveal complementary insights about disparities of 311 help requests during the 2022 Buffalo blizzard, in the 2025 AAG Annual Meeting, Mar. 26, 2025, Detroit, USA.
7. Poster presentation (2024): Understanding the disparate impacts of the 2021 Texas winter storm and power outages through mobile phone location data and nighttime light images, in the 31st International Conference on Geoinformatics, CPGIS, Aug. 15, 2024, Toronto, Ontario, Canada.
6. Oral presentation (2023): Improving the 3D representation of rivers in digital elevation models (DEM), in the 2023 NSF I-GUIDE Summer School, Aug. 11, 2023, Boulder, Colorado, USA.
5. Oral presentation (2023): Understanding spatial impacts of the Texas winter storm in 2021 via mobile phone location data and nighttime light images, in the 2023 AAG Annual Meeting, Mar. 26, 2023, Denver, Colorado, USA.
4. Oral presentation (2022): Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation, in the GEOMED 2022, Oct. 14, 2022, University of California, Irvine, California, USA.
3. Poster presentation (2022): Human mobility data demonstrates increase in park visitation since start of COVID-19 pandemic in Buffalo, New York, in the American College of Preventive Medicine (ACPM) 2022 annual meeting, Jun. 15-18, 2022, Denver, Colorado, USA (Co-Author).
2. Poster presentation (2022): Mapping the accessibility of medical facilities of Wuhan during the COVID-19 pandemic, in the University Consortium for Geographic Information Science (UCGIS) Symposium 2022, Jun. 7-9, 2022, Syracuse, New York, USA.
1. Oral presentation (2022): The role of place visits related to diet and physical activity from mobile phone location data in enhancing obesity estimation at the neighborhood level, in the Graduate Student Lightning Talks, Spring 2022 Colloquium Speaker Series, UB Department of Geography, Feb. 18, 2022, Buffalo, New York, USA.

7. Hugh W. Calkins Applied GIS Award, by Department of Geography at the University at Buffalo - SUNY, 2025
6. AAG SAM Student Travel Award, by AAG Spatial Analysis & Modeling Specialty Group (SAM), 2025
5. Michael Trapasso Climate Impacts Award, by Department of Geography at the University at Buffalo - SUNY, 2024
4. Hugh W. Calkins Applied GIS Award, by Department of Geography at the University at Buffalo - SUNY, 2024
3. Travel Award, by 2023 NSF I-GUIDE Summer School Program, 2023
2. Hugh W. Calkins Applied GIS Award, by Department of Geography at the University at Buffalo - SUNY, 2023
1. NSF Research Experience for Graduates (REG) Grant, by Human-Environment and Geographical Sciences (HEGS) program in the National Science Foundation (NSF), Student PI, 2022

Peer Reviewer for Academic Journals

• Computational Urban Science
• Environment and Planning B: Urban Analytics and City Science
• Journal of Map
• Royal Society Open Science
• International Journal of Digital Earth
• Transactions in GIS
• Scientific Data
• Spatial and Spatio-temporal Epidemiology
• International Journal of Disaster Risk Reduction
• Urban Informatics

Volunteer Service

• Co-host, GISalon, GISphere (Student academic organizations), Oct. 2021-present, USA
• Faculty Liaison for PhD, Geography GSA, University at Buffalo - SUNY, Sept. 2022-May. 2024, USA
• Conference Assistant, 2023 AAG Annual Meeting, Mar. 23-27, 2023, USA

• GeoAI Lab: Lab member Ryan Zhenqi Zhou receives the 2024 Hugh Calkins Applied GIS Award and the 2024 Michael Trapasso Climate Impacts Award
• GeoAI Lab: Lab member Ryan Zhou receives a new NSF Research Experience for Graduates (REG) Award to study community resilience during natural disasters