Articles in Peer-reviewed Journals

2024

Wang S., Hu T., Huang X., Li Y., Zhang C., Ning H., Zhu R., Li Z., 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. https://doi.org/10.1080/17538947.2024.2353122

Jiang Y., Popov A.A., Li Z*., Hodgson M.E., Huang B., (2024). A Sensor-Based Simulation Method for Spatiotemporal Event Detection, ISPRS International Journal of Geo-Information. 13(5), 141; https://doi.org/10.3390/ijgi13050141

Lessani M.N. and Li Z., (2024). SGWR: Similarity and Geographically Weighted Regression, International Journal of Geographical Information Science, https://doi.org/10.1080/13658816.2024.2342319

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, 171853. http://dx.doi.org/10.1016/j.scitotenv.2024.171853

Jing F., Li Z., Ning H., Lessani N., Qiao S., 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. https://doi.org/10.1016/j.cities.2024.104905

Lessani M.N., Li Z., Deng J., Guo Z., (2024). An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models, Geo-spatial Information Science. https://doi.org/10.1080/10095020.2024.2313326

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. https://doi.org/10.1371/journal.pone.0294430

Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., … Li, Z., & Hohl, A.(2024) Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing. . https://doi.org/10.34133/remotesensing.0105

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. https://doi.org/10.1177/239980832311756

2023

Robert, B. N., Cherono, A., Mumo, E., Mwandawiro, C., Okoyo, C., Gichuki, P. M., … & Okiro, E. A. (2023). Spatial variation and clustering of anaemia prevalence in school-aged children in Western Kenya. Plos one, 18(11), e0282382.

Lessani N, Li Z., Jing F., Qiao S., Zhang J., Olatosi B., Li X., (2023) Human mobility and the infectious disease transmission: A systematic review, Geo-spatial Information Science. https://doi.org/10.1080/10095020.2023.2275619

Li Z., Ning H. (2023). Autonomous GIS: the next-generation AI-powered GIS, International Journal of Digital Earth. https://doi.org/10.1080/17538947.2023.2278895

Zeng C., Zhang J., Li Z., Sun X., Ning H., Yang X., Weissman S., Olatosi B., Li X, (2023) Residential segregation as a barrier to county level COVID-19 booster coverage in Deep South: Surveillance report and ecological study, JMIR Public Health and Surveillance (in press)

Shi F., Zhang J., Yang X., Sun X., Li Z., Weissma S., Olatosi B., Li X., (2023) Understanding social risk factors of county-level disparities in COVID-19 tests per confirmed case in South Carolina using statewide electronic health records data, BMC Public Health. https://doi.org/10.1186/s12889-023-17055-y

Xu R., Huang X., Zhang K., Lyu W., Ghosh D., Li Z., Chen X., (2023) Integrating human activity into food environments can better predict cardiometabolic diseases in the United States, Nature Communications. https://doi.org/10.1038/s41467-023-42667-8

Li Z., Qiao, S., Ning H., Sun X., Zhang, J., Li, Z., Olatosi, B., Li, X. (2023). Place visitation data reveals the geographic and racial disparities of COVID-19 impact on HIV service utilization in Deep South. AIDS and Behavior.  https://doi.org/10.1007/s10461-023-04163-4

Qiao, S., Zhang, J., Li, Z., Olatosi, B., Weissman, S., & Li, X. (2023). The Impacts of HIV-Related Service Interruptions During the COVID-19 Pandemic: Protocol of a Mixed Methodology Longitudinal Study. AIDS and Behavior, 1-16. https://doi.org/10.1007/s10461-023-04138-5

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

Lu J., Huang X., Kupfer J., Xiao X., Li Z., Wei H., Wang S., Zhu L., (2023). Spatial, temporal, and social dynamics in visitation to U.S. national parks: A big data approach. Tourism Management Perspectives. 48, 101143. https://doi.org/10.1016/j.tmp.2023.101143

Shi, F., Zhang, J., Zeng, C., Sun, X., Li, Z., Yang, X., … & Li, X. (2023). County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018. Plos one, 18(5), e0286497. https://doi.org/10.1371/journal.pone.0286497

Wang, S*., Ning, H*., Huang, X., Xiao, Y., Zhang, M., Yang, E. F., Sadahiro Y., Liu Y., Li Z., Hu T., Fu X., Li Zi., 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. https://doi.org/10.2196/47225 (* these authors contributed equally)

Giannouchos T., Li Z., Hung P., Li X., Olatosi B., (2023) Rural-Urban disparities in hospital admissions and mortality among patients with COVID-19: evidence from South Carolina from 2021 to 2022, Journal of Community Health .https://doi.org/10.1007/s10900-023-01216-6

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. https://doi.org/10.1016/j.jag.2023.103246

Wang S., Wang R., Huang X., Li Z., Bao S., (2023). A GIS-based analytical framework for evaluating the effect of COVID-19 on the restaurant industry with big data. Big Earth Data. https://doi.org/10.1080/20964471.2022.2163130

Jin, A., Chen, X., Huang, X., Li, Z., Caspi, C. E., & Xu, R. (2023). Selective Daily Mobility Bias in the Community Food Environment: Case Study of Greater Hartford, Connecticut. Nutrients, 15(2), 404. https://doi.org/10.3390/nu15020404

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. https://doi.org/10.3389/fpubh.2022.1013967

Jing F., Li Z., Qiao S., Zhang J., Olatosi B., Li X., (2023), Using geospatial social media data for infectious disease studies: a systematic review, International Journal of Digital Earth. https://dx.doi.org/10.1080/17538947.2022.2161652

Huang X., Zhao B., Li Z, Bao S., Zhang S. (2023) Black businesses matter: A longitudinal study of black owned restaurants in the COVID-19 pandemic. Annals of the American Association of Geographers. https://dx.doi.org/10.1080/24694452.2022.2095971

Yang Y., Zhang L., Wu L., Li Z., (2023)  Does distance still matter? Moderating effects of distance measures on the relationship between pandemic severity and bilateral tourism demand, Journal of Travel Research, https://doi.org/10.1177/00472875221077978

2022

Garajeh M., Li Z., Hasanlu S., Naghadehi S., Haghi V., (2022), Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping, Scientific Report. https://doi.org/10.1038/s41598-022-26026-z

Jing F., Li Z., Qiao S., Zhang J., Olatosi B., Li X., (2022), Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time, BMC Public Health. https://doi.org/10.1186/s12889-022-14779-1

Cai R.. Zhang J., Li Z., Zeng C., Qiao S., Li X., (2022), Using Twitter Data to Estimate Prevalence of Mental Disorder Symptoms in the United States During the COVID-19 Pandemic: Ecological Cohort Study, JMIR Formative Research, https://doi.org/10.2196/37582

Jing F., Liu L., Zhou S., Li Z., Song J., Wang L., Ma R., Lu J., Li X., (2022) Exploring large-scale spatial distribution of fear of crime integrating small sample surveys and massive street view images, Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808322113560

Wei, H., Huang, X., Wang, S., Lu, J., Li, Z., & Zhu, L. (2022) A data-driven investigation on park visitation and income mixing of visitors in New York City. Environment and Planning B: Urban Analytics and City Science, https://doi.org/10.1177/23998083221130708

Huang X., Wang S., Zhang M., Hu T., Hohl A., She B., Gong X., Li J., Liu X., Gruebner O.,Liu R., L X., Liu Z., Ye X., Li Z., (2022), Social media mining under the COVID-19 context: progress, challenges, and opportunities, International Journal of Applied Earth Observation and Geoinformation, https://doi.org/10.1016/j.jag.2022.102967

Ozigbu, C. E., Olatosi, B., Li, Z., Hardin, J. W., & Hair, N. L. (2022). Correlates of Zero-Dose Vaccination Status among Children Aged 12–59 Months in Sub-Saharan Africa: A Multilevel Analysis of Individual and Contextual Factors. Vaccines, 10(7), 1052. https://doi.org/10.3390/vaccines10071052

Qiao S, Li Z, Liang C, Li X, Rudisill AC. (2022) Three dimensions of COVID-19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis. Risk Analysis. https://doi.org/10.1111/risa.13993

Wang S., Zhang M., Huang X., Hu T., Li Z., Sun Q., Liu Y. (2022). Urban-regional disparities in mental health signals in Australia during the COVID-19 pandemic: a study via Twitter data and machine learning models, Cambridge Journal of Regions, Economy and Society. https://doi.org/10.1093/cjres/rsac025

Zeng C., Zhang J., Li Z., Sun X., Yang X., Olatosi B., Weissman S., Li X., (2022) Population mobility and aging accelerate the outbreaks of COVID-19 in the Deep South: a county-level longitudinal analysis, Clinical Infectious Diseases, https://doi.org/10.1093/cid/ciac050

Kazemi M., Weng Q., Haghi V., Li Z., Arsanjani J., (2022). Learning-based methods for detection and monitoring of shallow flood-affected areas: Impact of shallow-flood spreading on vegetation density, Canadian Journal of Remote Sensing, https://doi.org/10.1080/07038992.2022.2072277

Ning H., Li Z., Wang C., Hodgson M., 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.  https://doi.org/10.1016/j.compenvurbsys.2022.101808

Qiao S., Li Z., Zhang J., Sun X., Garrett C., Li X., (2022) Social capital, urbanization level, and COVID-19 vaccination uptake in the United States: A national level Analysis, Vaccines, 10(4), 625; https://doi.org/10.3390/vaccines10040625

Kazemi-Garajeh M., Blaschke T., Haghi V., Weng Q., Kamran K., Li Z., (2022). A comparison between Sentinel-2 and Landsat 8 OLI satellite images for soil salinity distribution mapping using a deep learning convolutional neural network, Canadian Journal of Remote Sensing. https://doi.org/10.1080/07038992.2022.2056435

Zhang, M., Wang, S., Hu, T., Fu, X., Wang, X., Hu, Y., Halloran B., Li Z., Cui Y., Liu H., Liu Z., Bao, S. (2022). Human mobility and COVID-19 transmission: a systematic review and future directions, Annals of GIS, https://doi.org/10.1080/19475683.2022.2041725

Huang X., Xu Y., Liu R., Wang S., Wang S., Zhang M., Kang Y. Zhang Z., Gao S., Li Z., Hu T.  Exploring the spatial disparity of home-dwelling time patterns in the U.S. during the COVID-19 pandemic via Bayesian inference, Transactions in GIS, https://doi.org/10.1111/tgis.12918

Zhang J., Olatosi B., Yang X., Weissman S., Li Z., Hu J., Li X., (2022) Studying patterns and predictors of HIV viral suppression using A Big Data approach: A research protocol, BMC Infectious Diseases, (2022) 22:122, https://doi.org/10.1186/s12879-022-07047-5

Morgan G., Wang C., Li Z., Schill S., Morgan D., Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study, ISPRS International Journal of Geo-Information, https://doi.org/10.3390/ijgi11020100

Wang S., Huang X., Hu T., Zhang M., Li Z., Ning H., Corcoran J., Khan A., Liu Y., Zhang J., Li X., (2022), The times, they are a-changin’: tracking the shifts in mental health signals in Australia from the early to later phase of the COVID-19 pandemic, BMJ Global Health, 7(1), http://dx.doi.org/10.1136/bmjgh-2021-007081

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. https://doi.org/10.1177/23998083211064624

Huang X., Martin Y., Wang S., Zhang M., Gong X., Ge Y., Li Z. (2022)  The promise of excess mobility analysis: measuring episodic-mobility with geotagged social media data, Cartography and Geographic Information Science, 49(5). 464-478. https://doi.org/10.1080/15230406.2021.2023366

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. https://doi.org/10.1080/15230406.2021.1992299

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. https://doi.org/10.1080/13658816.2021.1981334

2021

Lyu T., Hair N., Yell N., Li Z., Qiao S., Liang C., Li X., (2021). Temporal Geospatial Analysis of COVID-19 Pre-infection Determinants of Risk in South Carolina, International Journal of Environmental Research and Public Health,18(18), 9673. https://doi.org/10.3390/ijerph18189673

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. https://doi.org/10.3390/su13169366

Li Z., Huang X., Hu T., Ning H., Ye X., Huang B., Li X., (2021), ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility, Plos One, 16(8): e0255259. https://doi.org/10.1371/journal.pone.0255259

Hu T., Wang S., She B., Zhang M., Huang X., Cui Y., …, Li Z., (2021) Human Mobility Data in the COVID-19 Pandemic: Characteristics, Applications, and Challenges, International Journal of Digital Earth, https://doi.org/10.1080/17538947.2021.1952324

Li Z., Huang X., Ye X., Jiang Y., Martin Y., Ning H., Hodgson M., Li X., (2021), Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data, Scientific Reports, https://doi.org/10.1038/s41598-021-94300-7

Hu, T., Wang, S., Luo, W., Yan, Y., Zhang, M., Huang, X., … & Li, Z. (2021). Revealing public opinion towards COVID-19 vaccines using Twitter data in the United States: a spatiotemporal perspective, Journal of Medical Internet Research, https://doi.org/10.2196/30854

Jiang, Y., Guo, D., Li, Z. Hodgson, M., (2021) A novel big data approach to measure and visualize urban accessibility. Computational Urban Science. 1, 10 (2021). https://doi.org/10.1007/s43762-021-00010-1

Martín, Y., Li, Z. Ge, Y., Huang, X. (2021) Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level. Social Sciences, https://doi.org/10.3390/socsci10060227

Jiang Y., Huang X., Li Z. (2021) Spatiotemporal patterns of human mobility and its association with land use types during COVID-19 in New York City, ISPRS International Journal of Geo-Information, https://doi.org/10.3390/ijgi10050344

Jiang Y., Li Z., Cutter S., (2021) Social Distance Integrated Gravity Model for Evacuation Destination Choice, International Journal of Digital Earth, https://doi.org/10.1080/17538947.2021.1915396

Zeng C., Zhang J., Li Z., Sun X., Olatosi B., Weissman S., Li X., (2021) Spatial-temporal relationship between population mobility and COVID-19 outbreaks in South Carolina: A time series forecasting analysis, Journal of Medical Internet Research, https://doi.org/10.2196/27045

Li Z., Qiao S., Jiang Y., Li X., (2021), Building a Social media-based HIV Risk Behavior Index to Inform the Prediction of HIV New Diagnosis: A Feasibility Study, AIDS , https://doi.org/10.1097/qad.0000000000002787

Ye X., Wang W., Zhang X., Li Z., Yu D., Du J., Chen Z., (2021), Reconstructing spatial information diffusion networks with heterogeneous agents and text contents, Transactions in GIS, https://doi.org/10.1111/tgis.12747

Zeng C., Zhang J., Sun X., Li Z., Weissman S., Olatosi B.,  Li X., (2021), County-level predictors of retention in care status among people living with HIV in South Carolina from 2010 to 2016: A data-driven approach, AIDS, https://doi.org/10.1097/qad.0000000000002832

Huang X., Li Z., Jiang Y., Ye X., Deng C., Zhang J., Li X., (2021), The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S., International Journal of Digital Earth, https://doi.org/10.1080/17538947.2021.1886358

Xu D., Huang X., Mango J., Li X., Li Z., (2021), Simulating multi-exit evacuation using deep reinforcement learning, Transactions in GIS, https://doi.org/10.1111/tgis.12738

Qiao S., Li Z., Weissman S., Li X., Olatosi B., Davis C., Mansaray A., (2021), Disparity in HIV service interruption in the outbreak of COVID-19: A mixed-method study in South Carolina, AIDS and Behavior, 25: 49-57 https://doi.org/10.1007/s10461-020-03013-x

2020

Li Z., Li X., Porter D., Zhang J., Jiang Y., Olatosi B., Weissman S. (2020)  Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics, JMIR Research Protocols, https://doi.org/10.2196/24432

Huang X., Li Z., Lu J., Wang S., Wei H., Chen B.  (2020) Time-series clustering for home dwell time during COVID-19: what can we learn from it?, ISPRS International Journal of Geo-Information, https://doi.org/10.3390/ijgi9110675

Huang X., Li Z., Jiang Y., Li X., Porter D. (2020) Twitter reveals human mobility dynamics during the COVID-19 pandemic, PloS One, https://doi.org/10.1371/journal.pone.0241957

Yang C., Sha D., Liu S., Li Y., Lan H., Guan W., Hu T., Li Z., Zhang Z., Thompson J., Wang Z., Wong D., Ruan  S., Yu M., Richardson D., et al. (2020) Taking the pulse of COVID-19: A spatiotemporal perspective, International Journal of Digital Earth, https://doi.org/10.1080/17538947.2020.1809723

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, https://doi.org/10.1080/19475683.2020.1803402

Li Z., Tang W., Huang Q., Shook E., Guan Q. (2020), Introduction to Big Data Computing for Geospatial Applications, ISPRS International Journal of Geo-Information, 9(8), 487; https://doi.org/10.3390/ijgi9080487

Huang X., Wang C., Li Z., Ning H., Kim H., (2020), A 100m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints, Big Earth Data, https://doi.org/10.1080/20964471.2020.1776200

Yu M., Bambacus G., Cervone G., Clarke K., Huang Q., Li J., Li W., Li Z., Liu Q., Yang J., Yang, C., (2020), Spatiotemporal Event Detection: A Review, International Journal of Digital Earth, https://doi.org/10.1080/17538947.2020.1738569

Xu D., Huang X., Li Z., Li X. (2020), Local Motion Simulation using Deep Reinforcement Learning, Transactions in GIS, https://doi.org/10.1111/TGIS.12620

Ning H., Li Z., Hodgson M., Wang C., (2020), Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning, ISPRS International Journal of Geo-Information, 9(2), 104; https://doi.org/10.3390/ijgi9020104

Martín Y., Cutter S.L. Li Z, Emrich C., Mitchell, J.T. (2020) Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria. Population and Environment , https://doi.org/10.1007/s11111-020-00338-6

Hu L., Li Z., Ye X., (2020) Delineating and Modelling Activity Space Using Geotagged Social Media Data, Cartography and Geographic Information Science, https://doi.org/10.1080/15230406.2019.1705187

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, https://doi.org/10.1080/23754931.2019.1707108

Pham E., Emrich C., Li Z., Mitchem J., Cutter S., (2020) Evacuation Departure Timing during Hurricane Matthew, Weather, Climate, and Society, https://doi.org/10.1175/WCAS-D-19-0030.1

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), https://doi.org/10.1080/17538947.2019.1633425

Li Z., Huang Q., Jiang Y., Hu F. (2020) , SOVAS: A Scalable Online Visual Analytic System for Big Climate Data Analysis, International Journal of Geographic Information Science, 34(6) https://doi.org/10.1080/13658816.2019.1605073

Martín Y., Cutter S., Li Z.,(2020) Bridging social media and survey data for the evacuation assessment of hurricanes, Natural Hazard Review, 21(2), https://doi.org/0.1061/(ASCE)NH.1527-6996.0000354  

2019

Li Z., Huang Q., Emrich C., (2019) Introduction to Social Sensing and Big Data Computing for Disaster Management, International Journal of Digital Earth,  12(11), https://doi.org/10.1080/17538947.2019.1670951

Jiang Y., Li Z., Cutter S.,(2019) Social network, activity space, sentiment, and evacuation: what can social media tell us? Annals of the American Association of Geographers, 109(6), https://doi.org/10.1080/24694452.2019.1592660

Dahal, Kumar, Li Z.,(2019) Spatiotemporal Topic Modeling and Sentiment Analysis of Global Climate Change Tweets, Social Network Analysis and Mining, 24(9)  https://doi.org/10.1007/s13278-019-0568-8

Yang L., Sun X., Li Z. (2019)  An Efficient Framework for Remote Sensing Parallel Processing: Integrating the Artificial Bee Colony Algorithm and Multiagent Technology, Remote Sensing, 11(2), https://doi.org/10.3390/rs11020152

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), https://doi.org/10.1080/17538947.2018.1523956

Hu F., Li Z., Yang C., Jiang Y. (2019) A graph-based approach to detect the tourist movement pattern using social media data, Cartography and Geographic Information Science, 46(4), https://doi.org/10.1080/15230406.2018.1496036

Jiang Y., Li Z., Ye X. (2019) Understanding Demographic and Socioeconomic Bias of Geotagged Twitter Users at the County Level, Cartography and Geographic Information Science, 46(3), https://doi.org/10.1080/15230406.2018.1434834

2018

Deng, C., Lin, W., Ye, X., Li, Z., Zhang, Z., Xu, G. (2018) Social media data as a proxy for hourly fine-scale electric power consumption estimation. Envrionment and Planning A: Economy and Space, 50(8) https://doi.org/10.1177/0308518X18786250

Huang X., Wang C.,  Li Z. (2018) A Flooding Probability Reconstruction Approach by Enhancing Near Real-Time Imagery with Real-Time Gauges and Tweets, IEEE Transactions on Geoscience and Remote Sensing, 56(8), https://doi.org/10.1109/TGRS.2018.2835306

Wang C., Li Z., Huang X. (2018) Geospatial assessment of flooding dynamics and risks of the October’15 South Carolina Flood, Congaree River Watershed, Southeastern Geographer, 58(2), 164-180, https://doi.org/10.1353/sgo.2018.0020

Huang X., Wang C., Li Z., (2018) A Near Real-time Flood Mapping Approach by Integrating Post-event with Satellite Imagery and Flood-related Tweets, Annals of GIS, 24(2), https://doi.org/10.1080/19475683.2018.1450787

Li Z., Hodgson M., Li W.  (2018) A general-purpose framework for large-scale Lidar data processing, International Journal of Digital Earth, 11(1), 26-47, https://doi.org/10.1080/17538947.2016.1269842

Li Z., Wang C., Emrich C., Guo D. (2018) A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods, Cartography and Geographic Information Science, 45(2), https://doi.org/10.1080/15230406.2016.1271356

Huang Q., Li, J., Li, Z., (2018) A Hybrid Cloud Platform Based on Multi-sourced Computing and Model Resources for Geosciences, International Journal of Digital Earth, 11 (12), https://doi.org/10.1080/17538947.2017.1385652

2017