Lingbo Liu
Lingbo Liu is a Research Associate at the CGA, and a lecturer on geographic analysis at Department of Government. He was a CGA post-doctoral research fellow, and previously a lecturer in the Department of Urban Planning, School of Urban Design, Wuhan University, and a visiting scholar at Harvard CGA. Lingbo leads the Spatial Data Lab project at the CGA, focusing on the development of advanced geospatial models and an open-source visual programming platform for GeoAI research, as well as training programs to democratize geospatial data science. His research focuses on the study of healthy cities, utilizing advanced geospatial AI models to capture the spatiotemporal features of urban systems. He aims to parse the coupling mechanisms of the space-human system to provide decision support for public policy to make cities healthier.
1 WORK EXPERIENCE
2026/1- , Lecturer, Department of Government, Harvard University
2024/7- , Research Associate, Center for Geographic Analysis, Harvard University
2022/7-2024/6, Postdoctoral Fellow, Center for Geographic Analysis, Harvard University
2016/9-2022/6, Deputy Director, Laboratory Center, School of Urban Design, Wuhan University
2005/9-2022/6, Tenured Lecturer, Department of Urban Planning, School of Urban Design, Wuhan University
2 EDUCATION
2021/9-2022/6, Visiting Scholar, Center for Geographic Analysis, Harvard University
2012/9-2018/6, PHD, Digital Urban Administration and Planning, School of Urban Design, Wuhan University
2014/9-2015/6, Visiting Scholar, Department of Geography and Anthropology, Louisiana State University (LSU)
2002/9-2005/6, Master of Engineering, (Urban Planning & Design), School of Urban Design, Wuhan University
1998/9-2002/6, Bachelor of Engineering, (Urban Planning & Design), School of Urban Design, Wuhan University
3 RESEARCH FUNDING
2025–2026, Harvard Data Science Initiative, Harvard Unified Matching & Affinity Network (HUM.AI.N), Co-Investigator. US$100,000 (Total), US$10,000 (Direct support to applicant).
2024–2026, National Cancer Institute (NCI), Grant No. R01CA267990-01, Access, Utilization and Outcomes of Cancer Services in the Era of Telemedicine, Other Personnel. US$75,000 (Direct support to applicant).
2022–2026, National Science Foundation (NSF), Grant No. 1841403, Phase II I/UCRC Harvard: Center for Spatiotemporal Thinking, Computing and Applications (STCA), Co-Investigator. US$420,000 (Direct support to applicant).
2021-2024, Spatiotemporal transmission mechanism and modeling of infectious diseases supported by multi-source data, National Natural Science Foundation of China, 52078390, Co-investigator, ~$15,000 (Direct support to applicant).
2020-2023, Interpretation Method of Urban Spatial Structure Based on Big Data and Deep Learning, National Natural Science Foundation of China, 51978535, Co-investigator, ~$15,000 (Direct support to applicant).
4 AWARDS AND HONORS
Research Award
2025, AI Shark Tank 3rd Prize，Boston Children’s Hospital Effective AI Committee
2025, KNIME’s Contributor of the Month for March, KNIME
2023, Guideline for Urban and Rural Community Pandemic Prevention and Control during the Global COVID-19 Crisis—Based on Wuhan’s Community Practices, Second Prize, 2021 National Excellence in Urban Planning and Design Award, China
2021,Guideline for Urban and Rural Community Pandemic Prevention and Control during the Global COVID-19 Crisis—Based on Wuhan’s Community Practices，First Prize, Hubei Provincial Nomination for the National Excellence in Urban Planning and Design Award 2021, China
2021, Human-Centered Urban Planning Theory Applications in Wuhan，First Prize, Hubei Provincial Nomination for the National Excellence in Urban Planning and Design Award, China
2019, Master Plan of the Dongpo Cultural Tourism Zone in Danzhou City，Second Prize, Hainan Provincial Excellence in Urban Planning and Design Award，Hainan Province, China
Teaching Awards
2019, 4th National University Economics and Management Experimental Teaching Case Competition in China, Third Prize
2016, Candlelight Navigation Excellent Teacher, Wuhan University, China
5 OPEN-SOURCE SOFTWARE FOR GEOAI AND HEALTH ANALYTICS
Geospatial Analytics Extension for KNIME, v1.3.1, An open-source visual programming platform for geospatial analysis, supporting both local and cloud environments, and used by over 200,000 users (by 2025-4-12). Recognized as the top community extension for KNIME, it led to Lingbo’s nomination as KNIME’s Contributor of the Month for March 2025, Textbook , GitHub, KNIME Hub workflows, Datasets on Harvard Dataverse
XGeoML,v0.6, The first Python package for ensemble explainable geospatial machine learning, integrating over 30 machine learning models with local geospatial modelling; downloaded over 15,000 times on PYPI (by 2025-8-4).
R2SFCA, v1.1.1, Reconciled Two-Step Floating Catchment Area model for spatial accessibility analysis; surpassed 1,000 PyPI downloads within three days of release (by 2025-10-10).
Urban Community Scanning, A GitHub-hosted Python code repository for identifying and analyzing urban agglomerations, Reference
Multi-Constraint Monte Calro-Geoimputaion, A novel Monte Carlo simulation approach for downscaling cancer data using multiple constraints, Reference
6 BOOKS & CHAPTERS
Lingbo Liu, Xiao Huang, Siqin Wang, Xiaokang Fu (2025). Sustainable GeoAI in Human Geography: Reproducible, Replicable, and Expandable. In GeoAI and Human Geography: The Dawn of a New Spatial Intelligence Era (pp. 327-344). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-87421-5_23
Lingbo Liu, Agent-Based Modeling and Simulation for Smart Cities. In Urban Human Mobility (pp. 138-147). CRC Press. Boca Raton, 2025, https://doi.org/10.1201/9781003503262-15
Lingbo Liu, (2025). Explainable Geospatial Machine Learning Models. In International Encyclopedia of Geography (eds D. Richardson, N. Castree, M.F. Goodchild, A. Kobayashi, W. Liu and R.A. Marston). https://doi.org/10.1002/9781118786352.wbieg2251
Lingbo Liu, Fahui Wang and Yujie Hu (2025). Colocation Quotients. In International Encyclopedia of Geography (eds D. Richardson, N. Castree, M.F. Goodchild, A. Kobayashi, W. Liu and R.A. Marston). https://doi.org/10.1002/9781118786352.wbieg2249
Lingbo Liu, (2025). Visual Programming Platform for GIS. In International Encyclopedia of Geography (eds D. Richardson, N. Castree, M.F. Goodchild, A. Kobayashi, W. Liu and R.A. Marston). https://doi.org/10.1002/9781118786352.wbieg2250
Fahui Wang, Lingbo Liu, Computational Methods and GIS Applications in Social Science, 3 Edition, CRC Press, Boca Raton, 2023, https://doi.org/10.1201/9781003292302
Lingbo Liu, Fahui Wang, Computational Methods and GIS Applications in Social Science- Lab Manual, CRC Press, Boca Raton, 2023, https://doi.org/10.1201/9781003304357
7 JOURNAL ARCTICLES
PUBLISHED PAPER (Counts in parentheses denote JCR Q1 publications)
2025, First authored 8 (8), co-authored 10 (9)
Liu, L., Franklin, R., Cheong, J., Cong, T., Byun, J.S., Oh, A.U., Torous, J., H3-MOSAIC: Multimodal Generative AI for Semantic Place Detection from High-Frequency GPS on H3 Grids in Mental Health Geomatics, International Journal of Health Geographics, 24, 35 (2025). https://doi.org/10.1186/s12942-025-00423-9, JCR QI, IF 3.2
Liu, L., Onega, T., Moen, E. L., Tosteson, A. N., Smith, R. E., Wang, Q., Cowan, L., & Wang, F. (2025). Digital divides in telehealth accessibility for cancer care in the United States. NPJ digital medicine, 8(1), 534. https://doi.org/10.1038/s41746-025-01931-5, JCR QI, IF 15.1
Liu, L., Wang, F. (2025). Reconciling 2SFCA and i2SFCA via distance decay parameterization, International Journal of Geographical Information Science, https://doi.org/10.1080/13658816.2025.2562255, JCR QI, IF 5.1
Liu, L., Wang, F., Onega, T. (2025). Cancer Incidence Data at the ZCTA Level in the U.S. Interpolated by Multi-Constraint Monte Carlo Simulation. Scientific Data, https://doi.org/10.1038/s41597-025-05254-8, JCR QI, IF 6.9
Liu, L., Wang, F. (2025). Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications. Cities, 158, 105721. https://doi.org/10.1016/j.cities.2025.105721, JCR QI, IF 6.6
Liu, L., Cowan, L., Wang, F., Onega, T. (2025). A multi-constraint Monte Carlo Simulation approach to downscaling cancer data. Health & Place, 91, 103411. https://doi.org/10.1016/j.healthplace.2024.103411, JCR QI, IF 4.1
Liu, L., Wang, F. (2025). Detect cross-boundary regional collaboration in China using network community scanning and human mobility data, Environment and Planning B: Urban Analytics and City Science, https://doi.org/10.1177/23998083251339482, JCR QI, IF 3.1
Liu, L., Guan, W. W., Wang, F., & Bao, S. (2025). Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0. Cartography and Geographic Information Science, 1-13. https://doi.org/10.1080/15230406.2025.2462342, JCR QI, IF 2.4
Moen, E., Wang, Q., Liu, L., Wang, F., Tosteson, A., Smith, R., Cowan, L., & Onega, T. (2025). Cross-State Travel for Cancer Care and Implications for Telehealth Reciprocity. JAMA Network Open, 8(2). http://dx.doi.org/10.1001/jamanetworkopen.2024.61021, JCR QI, IF 9.7
Liu, C., Liu, L., Peng, Z., Wu, H., Wang, F., Jiao, H., & Wang, J. (2025). Planning public electric vehicle charging stations to balance efficiency and equality: A case study in Wuhan, China. Sustainable cities and society, 124, 106314. https://doi.org/10.1016/j.scs.2025.106314, JCR QI, IF 12
Li, Y., Jia, N., Zhang, Z., Cheng, J., Song, W., Liu, L., ... & Chen, R. (2025). Mapping global urban inequality under climate change and its interaction with sustainable development. GIScience & Remote Sensing, 62(1), 2513104. https://doi.org/10.1080/15481603.2025.2513104, JCR QI, IF 6.9
Fu, X., Liu, L., Guan, W. W., Kalra, Y., Bao, S., Kötter, T., & Sturm, K. (2025). Advancing replicable and reproducible GIScience: an approach with KNIME. Cartography and Geographic Information Science, 1-21. https://doi.org/10.1080/15230406.2024.2446556, JCR QI, IF 2.4
Fu, X., Liu, L., Li, M., Huang, X., Wu, Z., & Chen, B. Y. (2025). Calibration of 2SFCA and i2SFCA: A Case Study in Shenzhen, China Based on Online Physician Appointment Data. Transactions in GIS, 29(3), e70061. https://doi.org/10.1111/tgis.70061, JCR QI, IF 2.3
Chen, C., Lao, Y., Fan, J., Liu, L., Liang, Y., & Meng, L. (2025). Geovisual explainable AI for understanding frozen ground in Qinghai-Tibet Plateau urban region. International Journal of Applied Earth Observation and Geoinformation, 142, 104760. https://doi.org/10.1016/j.jag.2025.104760, JCR QI, IF 8.6
Su, Y., Zhu, D., Dong, Z., Lin, Q., Liu, L., & Bao, S. (2025). FAME: Fusion of Alignment and Multi-view Enhancement for Remote Sensing Image-Text Retrieval. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2025.3610428, JCR QI, IF 8.6
Razavi-Termeh, S. V., Sadeghi-Niaraki, A., Sorooshian, A., Liu, L., Bao, S., & Choi, S.-M. (2025). Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm. Ecotoxicology and Environmental Safety, 302, 118764. https://doi.org/10.1016/j.ecoenv.2025.118764, JCR QI, IF 6.1
Tian, P., Cai, M., Wu, H., Wang, J., Liu, L., Yang, H., & Peng, Z. (2025). Unraveling the accessibility-usage mismatch: Identifying driving factors and weather-sensitive metro stations using GPS data for improved metro competitiveness. Cities, 159, 105794. https://doi.org/10.1016/j.cities.2025.105794, JCR QI, IF 6.6
Wang, S., Huang, X., Zhang, M., Bao, S., Liu, L., Fu, X., Zhang, T., Song, Y., Kedron, P., & Wilson, J. (2025). Open science 2.0: revolutionizing spatiotemporal data sharing and collaboration. Computational Urban Science, 5(1), 4. https://doi.org/10.1007/s43762-025-00165-1, JCR Q2, IF 3.2
2024, First authored 3 (2), corresponding author 1(1), co-authored 3 (2)
Liu, C.; Peng , Z.; Liu, L.*; Wu, H.; Kinne, J.; Cai, M.; Li,S. 2024. XAI in geographic analysis of innovation: Evaluating proximity factors in the innovation networks of Chinese technology companies through web-based data. Applied Geography,171,103373. https://doi.org/10.1016/j.apgeog.2024.103373, JCR Q1, IF 5.4
Liu, L. An ensemble framework for explainable geospatial machine learning models. International Journal of Applied Earth Observation and Geoinformation, 132, 104036.https://doi.org/10.1016/j.jag.2024.104036, JCR QI, IF 8.6
Liu, L., Wang, F., Fu, X., Kötter, T., Sturm, K., Guan, W. W., & Bao, S.. Elevating the RRE Framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with Geospatial Analytics Extension for KNIME. International Journal of Applied Earth Observation and Geoinformation, 130, 103948, https://doi.org/10.1016/j.jag.2024.103948, JCR QI, IF 8.6
Liu, L.; Fu, X.; Kötter, T.; Sturm, K.; Haubold, C.; Guan, W. W.; Bao, S. ; Wang, F.. 2024. Geospatial Analytics Extension for KNIME. SoftwareX, 25, 101627. https://doi.org/10.1016/j.softx.2023.101627, JCR Q2, IF 2.4
Wang, K., Peng, Z., Cai, M., Wu, H., Liu, L., & Sun, Z.. Coupling graph neural networks and travel mode choice for human mobility prediction. Physica A: Statistical Mechanics and its Applications, 646, 129872. https://doi.org/10.1016/j.physa.2024.129872, JCR Q1, IF 3.1
Wang, S., Huang, X., Liu, P., Zhang, M., Biljecki, F., Hu, T., Fu, X., Liu, L., Liu, X., & Wang, R. Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. International Journal of Applied Earth Observation and Geoinformation, 128, 103734. https://doi.org/10.1016/j.jag.2024.103734 , JCR QI, IF 8.6
Liu, C.; Peng, Z.; Liu, L.; & Wu, H. 2024. Analysis of Spatiotemporal Characteristics and Influencing Factors of Electric Vehicle Charging Based on Multisource Data. ISPRS International Journal of Geo-Information, 13(2), 37. https://doi.org/10.3390/ijgi13020037 , JCR Q2, IF 2.8
2023, First authored 1 (1), corresponding author 1(1), co-authored 4 (2)
Liu, L.; Alford-Teaster, J.; Onega; T.; Wang, F.. 2023. Refining 2SVCA method for measuring telehealth accessibility of primary care physicians in Baton Rouge, Louisiana. Cities, 138: 104364. https://doi.org/10.1016/j.cities.2023.104364
Wan, L., Chen, J. *, Wu, H., Su, F., Jiang, Q., Ma, L., Chen, H., Peng, Z., Sun, Z., Liu, L.*, & Chen, L. (2023). Deep learning for inflammatory diseases classification based on reflectance confocal microscopy. Journal of the American Academy of Dermatology, 88(5), e283–e284. https://doi.org/10.1016/j.jaad.2022.09.043, JCR Q1, IF 11.8
Wang, F.; Zeng, Y.; Liu, L., Onega, T.. 2023. Disparities in spatial accessibility of primary care in Louisiana: From physical to virtual accessibility. Frontiers in Public Health, 11:1154574. https://doi.org/10.3389/fpubh.2023.1154574 , JCR Q1, IF 3.4
Liu, C.; Peng, Z.; Liu, L.; Li, S. Innovation Networks of Science and Technology Firms: Evidence from China. Land, 2023, 12, 1283. https://doi.org/10.3390/land12071283, JCR Q2, IF 3.2
Wang, K.; Zhang, L.; Cai, M.; Liu, L.; Wu, H.; Peng, Z. Measuring Urban Poverty Spatial by Remote Sensing and Social Sensing Data: A Fine-Scale Empirical Study from Zhengzhou. Remote Sensing. 2023, 15, 381. https://doi.org/10.3390/rs15020381, JCR Q1, IF 4.1
Sun, Z.; Kang, D.; Jiao, H.; Yang, Y.; Xue, W.; Wu, H.; Liu, L.; Su, Y.; Peng, Z. Spatial and Temporal Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan, China. ISPRS Int. J. Geo-Inf. 2023, 12, 448. https://doi.org/10.3390/ijgi12110448, JCR Q2, IF 2.8
2022, First authored 2, co-authored 3
Liu, L.; Yu, H.; Zhao, J.; Wu, H.; Peng, Z.; Wang, R. Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China. ISPRS International Journal of Geo-Information, 2022. 11(1).https://doi.org/10.3390/ijgi11010057, JCR Q2, IF 2.8
Liu, L.; Wang, R.; Guan, W W.; Bao, S., Yu, H.; Fu, X.; Liu, H. Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility. ISPRS International Journal of Geo-Information, 2022. 11(2).https://doi.org/10.3390/ijgi11020145, JCR Q2, IF 2.8
Wang, K., Sun, Z., Cai, M., Liu, L., Wu, H., & Peng, Z. (2022). Impacts of Urban Blue-Green Space on Residents' Health: A Bibliometric Review. International journal of environmental research and public health, 19(23), 16192. https://doi.org/10.3390/ijerph192316192, JCR Q2, IF 3.2
Chen, L.; Liu, L.; Wu, H.; Peng, Z.; Sun, Z. Change of Residents’ Attitudes and Behaviors toward Urban Green Space Pre- and Post- COVID-19 Pandemic. Land 2022, 11, 1051. https://doi.org/10.3390/land11071051, JCR Q2, IF 3.2
Wang, R.; Liu, L.; Wu, H.; Peng, Z. Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph19095208
2021, First authored 2, corresponding author 3, co-authored 3(1)
Liu, L.; Peng, Z.; Wu, H. Entropy Models and Their Applications in Urban Studies, City Planning Review.2021,45(12):27-39. (Chinese,2021). 熵模型及其在城市研究中的应用，城市规划
Liu, L.; Hu, T.; Bao, S.; Wu, H.; Peng, Z.; Wang, R. The Spatiotemporal Interaction Effect of COVID-19 Transmission in the United States. ISPRS International Journal of Geo-Information 2021, 10, 387.https://doi.org/10.3390/ijgi10060387, JCR Q2, IF 2.8
Peng, Z.; Ao, S.; Liu, L. *; Bao, S.; Hu, T.; Wu, H.; Wang, R. Estimating Unreported COVID-19 Cases with a Time-Varying SIR Regression Model. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph18031090
Zhao, J.; Peng, Z.; Liu, L. *; Yu, Y.; Yu, Y. Evaluation on the Internal Public Space Quality in Affordable Housing Based on Multi-Source Data and IPA Analysis. Land, 2021. 10(10): p. 1000. https://doi.org/10.3390/land10101000, JCR Q2, IF 3.2
Zhao, J.; Peng, Z.; Liu, L.*; Yu, Y.; Shang, Z. Public Space Layout Optimization in Affordable Housing Based on Social Network Analysis. Land, 2021. 10(9): p.955. https://doi.org/10.3390/land10090955, JCR Q2, IF 3.2
Peng, Z., Bai, G., Wu, H., Liu, L., & Yu, Y. (2021). Travel mode recognition of urban residents using mobile phone data and MapAPI. Environment and Planning B: Urban Analytics and City Science, 48(9), 2574–2589. https://doi.org/10.1177/2399808320983001, JCR QI, IF 3.1
Sun, Z.; Jiao, H.; Wu, H.; Peng, Z.; Liu, L. Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest. ISPRS Int. J. Geo-Inf. 2021, 10, 339. https://doi.org/10.3390/ijgi10050339, JCR Q2, IF 2.8
Xiong, X.; Liu, L.; Peng, Z.; Wu, H. Physical Activities in Public Squares: The Impact of Companionship on Chinese Residents’ Health. Land 2021, 10, 720. https://doi.org/10.3390/land10070720, JCR Q2, IF 3.2
2020, corresponding author 1, co-authored 3(1)
Peng, Z.; Wang, R.; Liu, L.; Wu, H. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020, 9, 402. https://doi.org/10.3390/ijgi9120669, JCR Q2, IF 2.8
Hu, T.; Guan, W.W.; Zhu, X.; Shao, Y.; Liu, L., et al. Building an Open Resources Repository for COVID-19 Research. Data and Information Management 2020, 4, 130-147.https://doi.org/10.2478/dim-2020-0012
Peng, Z.; Wang, R.; Liu, L. *; Wu, H. Fine-Scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method. ISPRS International Journal of Geo-Information 2020, 9, 344. https://doi.org/10.3390/ijgi9060344, JCR Q2, IF 2.8
Wang, X., Zhou, Q., He, Y., Liu, L., Ma, X., Wei, X., Jiang, N., Liang, L., Zheng, Y., Ma, L., Xu, Y., Yang, D., Zhang, J., Yang, B., Jiang, N., Deng, T., Zhai, B., Gao, Y., Liu, W., Bai, X., … Gao, Z. (2020). Nosocomial outbreak of COVID-19 pneumonia in Wuhan, China. European respiratory journal, 55(6), 2000544. https://doi.org/10.1183/13993003.00544-2020, JCR Q1, IF 21
2019, first authored 3, corresponding author 1
Liu, L.; Zhong, Y.; Ao, S.; Wu, H. Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016. International Journal of Environmental Research and Public Health 2019, 16, 2551. https://doi.org/10.3390/ijerph16142551
Liu, L.; Xia, B.; Wu, H.; Zhao, J.; Peng, Z.; Yu, Y. Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method. Entropy 2019, 21, 458. https://doi.org/10.3390/e21050458, JCR Q2, IF 2.0
Jin, P.; Gao, Y.; Liu, L*.; Peng, Z.; Wu, H. Maternal Health and Green Spaces in China: A Longitudinal Analysis of MMR Based on Spatial Panel Model. Healthcare 2019, 7, 154. https://doi.org/10.3390/healthcare7040154, JCR Q2, IF 2.7
Liu, L.; Peng, Z.; Wu, H. Classification of POI Natural Cities Scale and Hierarchy Based on Head/Tail Breaks, Urban Planning International 2019,3. (Chinese,2019) 基于H/T断裂点法的POI自然城市规模等级测度，国际城市规划
8 RESEARCH REPORTS AND WEBGIS APPLICATIONS
LA Fire Health Study Dashboard, 2025, APP
Geographic Disparities in Accessibility of Eating Disorders Treatment Center in the US: A Nationwide Mapping Study, STRIPED, 2024, Story Map
COVID-19 Wuhan Guidance Papers-Emerging Experiences on Responding to COVID-19 in Chinese Cities and Townships, UN-HABITAT,2020
9 EDITORIAL ROLES
2024-2026, Associate Editor, International Encyclopedia of Geography, AAG
2025, Guest Editor, Remote Sensing, ISPRS International Journal of Geo-Information, Smart Cities, Applied Sciences, Geomatic, Special Topic issue, The Geography of Digital Twin: Concepts, Architectures, Modeling, AI and Applications
2025, Guest Editor, GIScience & Remote Sensing, Special issue, Advances in Remote Sensing and GIScience for Urban Sustainability
2024, Guest Editor, Urban Informatics, Special issue, Replicability and Reproducibility of Geospatial Artificial Intelligence (GeoAI) Models and Their Application in Social Science
120 TEACHING EXPERIENCE
Leading training courses at Harvard CGA
2025, Summer Training Workshop on Spatiotemporal Innovation: Integrating GeoAI and GenAI, Jul 21 to Jul 25,2025, Cambridge, MA 02138, Introduction homepage
2024, Summer Training Workshop on Spatiotemporal Innovation 2024: Visual programing for Geospatial AI (GeoAI), Jul 16 to Jul 19, 2024, Cambridge, MA 02138, Introduction homepage
2023, Summer Workshop on Spatiotemporal Innovation: Visual programing for spatiotemporal analysis, Jul 10 to Jul 14, 2023, Cambridge, MA 02138, Introduction homepage