Ning, Huan, Zhenlong Li, Temitope Akinboyewa, and M. Naser Lessani. "An autonomous GIS agent framework for geospatial data retrieval." International Journal of Digital Earth 18, no. 1 (2025): 2458688. https://doi.org/10.1080/17538947.2025.2458688
Jing, Fengrui, Zhenlong Li, Shan Qiao, M. Naser Lessani, Huan Ning, Wenjun Ma, Jinjing Hu, Pan Yang, and Xiaoming Li. "Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks." International Journal of Digital Earth 17, no. 1 (2024): 2436486.
Akinboyewa, T., Ning, H., Lessani, M. N., & Li, Z. (2024). Automated floodwater depth estimation using large multimodal model for rapid flood mapping. Computational Urban Science, 4(1), 12.
Yu, M., Zhang, S., Ning, H., Li, Z., & Zhang, K. (2024). Assessing the 2023 Canadian wildfire smoke impact in Northeastern US: Air quality, exposure and environmental justice. Science of The Total Environment, 926, 171853.
Shi, F., Mi, T., Li, X., Ning, H., Li, Z., & Yang, X. (2024). Structural Racism and HIV Pre-exposure Prophylaxis Use in the Nationwide US: A County-Level Analysis. Journal of Raciautol and Ethnic Health Disparities, 1-7.
Wang, S., Hu, T., Xiao, H., Li, Y., Zhang, C., Ning, H., ... & Ye, X. (2024). GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review. International Journal of Digital Earth, 17(1), 2353122.
Jing, F., Li, Z., Qiao, S., Ning, H., Lessani, M. N., & Li, X. (2024). From neighborhood contexts to human behaviors: Cellphone-based place visitation data contribute to estimating neighborhood-level depression prevalence in the United States. Cities, 148, 104905.
Li, Z., Ning, H., Jing, F., & Lessani, M. N. (2024). Understanding the bias of mobile location data across spatial scales and over time: a comprehensive analysis of SafeGraph data in the United States. Plos one, 19(1), e0294430.
Gao, G., Ye, X., Li, S., Huang, X., Ning, H., Retchless, D., & Li, Z. (2024). Exploring flood mitigation governance by estimating first-floor elevation via deep learning and google street view in coastal Texas. Environment and Planning B: Urban Analytics and City Science, 51(2), 296-313.
Li, Z., & Ning*, H. (2023). Autonomous GIS: the next-generation AI-powered GIS. International Journal of Digital Earth, 16(2), 4668-4686.
Wang, S., Ning*, H., Huang, X., Xiao, Y., Zhang, M., Yang, E. F., ... & Zeng, Y. (2023). Public surveillance of social media for suicide using advanced deep learning models in Japan: time series study from 2012 to 2022. Journal of medical internet research, 25, e47225.
Li, Z., Qiao, S., Ning, H., Sun, X., Zhang, J., Olatosi, B., & Li, X. (2023). Place Visitation Data Reveals the Geographic and Racial Disparities of COVID-19 Impact on HIV Service Utilization in the Deep South. AIDS and Behavior. https://doi.org/10.1007/s10461-023-04163-4
Zeng, C., Zhang, J., Li, Z., Sun, X., Ning, H., Yang, X., ... & Li, X. (2023). Residential Segregation and County-Level COVID-19 Booster Coverage in the Deep auth: Surveillance Report and Ecological Study. JMIR Public Health and Surveillance, 9(1), e44257.
Jing, F., Li, Z., Qiao, S., Ning, H., Zhou, S., & Li, X. (2023). Association between immigrant concentration and mental health service utilization in the United States over time: A geospatial big data analysis. Health & Place, 83, 103055. https://doi.org/10.1016/j.healthplace.2023.103055
Shi, F., Zhang, J., Yang, X., Sun, X., Li, Z., Zeng, C., Ning, H., Weissman, S., Olatosi, B., & Li, X. (2023). Moderation effect of community health on the relationship between racial/ethnic residential segregation and HIV viral suppression in South Carolina: A county-level longitudinal study from 2013 to 2018. Frontiers in Public Health, 10, 1013967.
Ning, H., Li, Z., Qiao, S., Zeng, C., Zhang, J., Olatosi, B., & Li, X. (2023). Revealing geographic transmission pattern of COVID-19 using neighborhood-level simulation with human mobility data and SEIR model: A Case Study of South Carolina. International Journal of Applied Earth Observation and Geoinformation, 118, 103246.
Ning, H., Li, Z., Ye, X., Wang, S., Wang, W., & Huang, X. (2022). Exploring the vertical dimension of street view image based on deep learning: A case study on lowest floor elevation estimation. International Journal of Geographical Information Science, 36(7), 1317-1342.
Ning, H., Li, Z., Wang, C., Hodgson, M. E., Huang, X., & Li, X. (2022). Converting street view images to land cover maps for metric mapping: a case study on sidewalk network extraction for the wheelchair users. Computers, Environment and Urban Systems, 95, 101808.
Li, X., Ning, H., Huang, X., Dadashova, B., Kang, Y., & Ma, A. (2022). Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images. Cartography and Geographic Information Science, 49(1), 32-49.
Song, Y., Ning, H., Ye, X., Chandana, D., & Wang, S. (2022). Analyze the usage of urban greenways through social media images and computer vision. Environment and Planning B: Urban Analytics and City Science, 23998083211064624.
Wang, S., Huang, X., Hu, T., Zhang, M., Li, Z., Ning, H., ... & Li, X. (2022). The times, they are a-changin’: tracking shifts in mental health signals from early phase to later phase of the COVID-19 pandemic in Australia. BMJ global health, 7(1), e007081.
Ning, H., Ye, X., Chen, Z., Liu, T., & Cao, T. (2022). Sidewalk extraction using aerial and street view images. Environment and Planning B: Urban Analytics and City Science, 49(1), 7-22.
Kupfer, J. A., Li, Z., Ning, H., & Huang, X. (2021). Using mobile device data to track the effects of the COVID-19 Pandemic on spatiotemporal patterns of national park visitation. Sustainability, 13(16), 9366.
Li, Z., Huang, X., Hu, T., Ning, H., Ye, X., Huang, B., & Li, X. (2021). ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility. Plos one, 16(8), e0255259.
Li, Z., Huang, X., Ye, X., Jiang, Y., Martin, Y., Ning, H., ... & Li, X. (2021). Measuring global multi-scale place connectivity using geotagged social media data. Scientific Reports, 11(1), 1-19.
Huang, X., Wang, C., Li, Z., & Ning, H. (2021). A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints. Big earth data, 5(1), 112-133.
Ning, H., Li, Z., Hodgson, M. E., & Wang, C. (2020). Prototyping a social media flooding photo screening system based on deep learning. ISPRS International Journal of Geo-Information, 9(2), 104.
Ning, H., Huang, X., Li, Z., Wang, C., & Xiang, D. (2020). Detecting new building construction in urban areas based on images of small unmanned aerial system. Papers in Applied Geography, 6(1), 56-71.
Ning, H., Li, Z., Wang, C., & Yang, L. (2020). Choosing an appropriate training set size when using existing data to train neural networks for land cover segmentation. Annals of GIS, 26(4), 329-342.
Huang, X., Li, Z., Wang, C., & Ning, H. (2020). Identifying disaster related social media for rapid response: A visual-textual fused CNN architecture. International Journal of Digital Earth, 13(9), 1017–1039. https://doi.org/10.1080/17538947.2019.1633425
Huang, X., Wang, C., Li, Z., & Ning, H. (2019). A visual–textual fused approach to automated tagging of flood-related tweets during a flood event. International Journal of Digital Earth, 12(11), 1248-1264.
Bi, K., Li Y., Xue, Y., Ding, X., and Ning. H. "Study on Rapidly Processing Images Acquired from the Altitude Ultra-light Aircraft at Low to Make DOM Based on ERDAS LPS and TerraSolid [J]." Remote Sensing Information 5 (2008).