[48] Qiao, S., Schwanen, T., Li, X., Yeh, A.G.O. (2025) Compounded Barriers: The Intersection of Gender and Age in Ride-hailing Usage. Transportation. https://doi.org/10.1007/s11116-025-10664-z
[47] Ye, X., Li, S., Gong, W., Li, X., Lee, J., Dadashova, B., Li, W., Du, J., Wu, J. (2025). Street View Imagery in Traffic Crash and Road Safety Analysis: A Review. Applied Spatial Analysis and Policy. https://doi.org/10.1007/s12061-025-09653-7
[46] Guo, Y., Zhan, M., Xu, H., Li, X., Fang, J., Zhou, X., Lin, D., Chen,W. (2025) MRSEILA: A modified remote sensing ecological index using local adaptability for enhancing ecological environment quality assessment. Ecological Informatics https://doi.org/10.1016/j.ecoinf.2025.103238
[45] Gruyter, C., Davies, L., Li, X., Jafari, A., Yacoubian, A., Amati, M. (2025). Measuring use of the street space in central city areas. Journal of Transport Geography https://doi.org/10.1016/j.jtrangeo.2025.104197
[44] Budnitz, H., Li, X., Morrissey, H., Schwanen, T. (2025). Understanding the uneven use of rental e-scooters and implications for equity: Evidence from England’s largest e-scooter trial. Case Studies on Transport Policy.https://doi.org/10.1016/j.cstp.2025.1013
[43] Li, X. *, Qiao, S., Rybarczyk, G., Zhao, Q. (2024) E-scooter Safety Under Scrutiny: Examining Crash Patterns and Injuries in the UK. Journal of Safety Research https://doi.org/10.1016/j.jsr.2024.11.026
[42] Shi, J., Li, X., Lin, D., Zhou, L., Lv, G. (2024) Assessing Semantic Consistency of Pavement Markings and Sign Using Street View Images – A Case Study on Lane-turning Information. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2024.2436491
[41] Xu, H., Omitaomu, F., Sabri, S., Zlatanova, S., Li, X., Song, Y. (2024) Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement. Urban Informatics. https://doi.org/10.1007/s44212-024-00060-w
[40] Huang, X., Lu, K., Wang, S., Lu, J., Li, X., Zhang, R. (2024) Understanding remote sensing imagery like reading a text document: What can remote sensing image captioning offer? International Journal of Applied Earth Observation and Geoinformation https://doi.org/10.1016/j.jag.2024.103939
[39] Jalilifar, E., Li, X.*, Martin, M., Huang, X. (2024) Exploring the Potential of Market-Available Connected Vehicle Data in Border Crossing Time Estimation. Transactions in Urban Data, Science, and Technology. https://doi.org/10.1177/27541231241226730
[38] Chukwu, M., Huang, X., Wang, S., Li, X., Wei, H. (2024) Urban park accessibility assessment using human mobility data: A systematic review. Annals of GIS. https://doi.org/10.1080/19475683.2024.2341700
[37] Hu, N., Zhang, Z., Duffield, N., Li, X., Dadashova, B., Wu, D., Yu, S., Ye, X., Han, D., Zhang, Z. (2024) Geographical and Temporal Weighted Regression: Examining Spatial Variations of COVID-19 Mortality Pattern Using Mobility and Multi-Source Data. Computational Urban Science. https://doi.org/10.1007/s43762-024-00117-1
[36] Bian, J., Li, W., Chen, A., Usman, M., Ye, X., Li, X., Dadashova, B., Lee, C., Ory, M. (2024) Smartphone Usage and Daily Trips: An Empirical Study of Small and Rural Communities in Texas. Transportation Planning and Technology. https://doi.org/10.1080/03081060.2024.2332517
[35] Li, X.*, Rybarczyk, G., Li, W., Usman, M., Bian, J., Chen, A., Ye, X. (2023) How do People Perceive Driving Risks in Small Towns? A Case Study in Central Texas. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107285
[34] Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., Zhang, G., Biljecki, F., Lu, T., Zou, L., Wu, Y., Park, YM., Li, X., Liu, Y., Fan, H., Mitchell, J., Li, Z., Hohl, A. (2023) Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0105
[33] Yan, J., Huang, X., Wang, S., He, Y., Li, X., Hohl A., Li, X., Aly, M., Lin, B. (2023) Toward a Comprehensive Understanding of Eye-level Urban Greenness: A Systemic Review. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2023.2283479
[32] Li, M., Li, X.*, Wu, D., Huang, X., Zou, L. (2023) Digitising and Inventorying Traffic Control Infrastructures: A Review of Practices. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2023.100879
[31] Usman, M., Li, W., Bian, J., Chen, A., Ye, X., Li, X., Dadashova, B., Lee, C., Lee, K., Rathinam, S., Ory, M. (2023) Small and Rural Towns’ Perception of Autonomous Vehicles: Insights from a Survey in Texas. Transportation Planning and Technology. https://doi.org/10.1080/03081060.2023.2259373
[30] Xu, H., Zhou, Y., Wei, Y., Guo, H., Li, X. (2023) A Multi-rule-based Relative Radiometric Normalisation Method for Multi-sensor Satellite Images. IEEE Geoscience and Remote Sensing Letters. https://doi.org/10.1109/LGRS.2023.3298505
[29] Yu, S., Newman, G., Berke, P., Li, X. (2023) Plan Integration for Ecological Resilience: Examining Factors Associated with Wetland Alteration. Journal of Planning Education and Research. https://doi.org/10.1177/0739456X231187
[28] Xu, H., Zhou, Y.*, Wei, Y., Liu, C.*, Li, X., Wei, C. (2023) A Relative Radiometric Normalisation Method for Enhancing Radiometric Consistency of Time-Series Imageries. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://10.1109/JSTARS.2023.3288973
[27] He, J., Fu, C., Li, X., Ren. F.*, Dong, J. (2023). What Do We Know about Multidimensional Poverty in China: Its Dynamics, Causes, and Implications for Sustainability. International Journal of Geo-Information, https://doi.org/10.3390/ijgi12020078
[26] Jalilifar, E., Li, X.*, Martin, M., Huang, X. (2022) Toward a Crowdsourcing Solution to Estimate Border Crossing Times Using Market-available Connected Vehicles Data. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications. Seattle, Washington, November 2022. https://doi.org/10.1145/3557922.3567669
[25] Li, X., Farrukh, M., Lee, C., Khreis, H., Sohrabi, S., Sarda, S., Zhang, Z., and Dadashova, B.* (2022) COVID-19 Impacts on Mobility, Environment, and Health of Active Transportation Users. Cities, https://doi.org/10.1016/j.cities.2022.103886
[24] Li, X.*, Yu, S., Dadashova, B., Cui, W., Huang, X., Zhe, Z. (2022) Do Underserved and Socially Vulnerable Communities Observe More Crashes? A Spatial Examination of Social Vulnerability and Crash Risks in Texas. Accident Analysis & Prevention, https://doi.org/10.1016/j.aap.2022.106721
[23] Li, X.*, Huang, X., Li, D., Xu, Y. (2022) Aggravated Social Segregation During the COVID-19 Pandemic: Evidence from Crowdsourced Mobility Data in Twelve Most Populated U.S. Metropolitan Areas. Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2022.103869
[22] Li, X.*, Ning, H., Huang, X., Dadashova, B., Kang, Y., Ma A. (2022) Urban Infrastructure Audit: An Effective Protocol to Digitise Signalised Intersections by Mining Street View Images. Cartography and Geographic Information Science, https://doi.org/10.1080/15230406.2021.1992299
[21] Huang, X.*, Zhao, Y., Wang, S., Li, X., Yang, D., Feng, Yu., Xu, Y., Zhu, L., Chen, B. (2022) Unfolding Community Homophily in U.S. Metropolitans via Human Mobility. Cities, https://doi.org/10.1016/j.cities.2022.103929
[20] Huang, X.*, Wang, S., Zhang, M., Hu, T., Hohl, A., She, B., Gong, X., Li, J., Liu, X., Gruebner, O., Liu, R., Li, 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
[19] Li, X.*, Maryam, S., Dadashova, B., Lord, D., Wolshon. (2021) Toward a Crowdsourcing Solution to Identify High-Risk Highway Segments Through Mining Vehicle Jerks. Accident Analysis & Prevention, https://doi.org/10.1016/j.aap.2021.106101
[18] Li, X.*, Xu, H., Huang, X., Guo, C., Kang, Y., Hu, J., Ye, X. (2021) Emerging Geo-Data Sources to Reveal Human Mobility Dynamics During the COVID-19 Pandemic: Opportunities and Challenges. Computational Urban Science, https://doi.org/10.1007/s43762-021-00022-x
[17] Xu, H., Qi, S., Li, X., Gao, C., Wei, Y.*, Liu, C.* (2021) Monitoring Three-Decade Dynamics of Citrus Planting in Southeastern China using Dense Landsat Records. International Journal of Applied Earth Observation and Geoinformation, https://doi.org/10.1016/ j.jag.2021.102518
[16] Huang, X.*, Zhu, D., Zhang, F., Liu, T., Li, X., Zou, L. (2021) Sensing Population Distribution from Satellite Imagery via Deep Learning: Model Selection, Neighbouring Effect, and Systematic Biases. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, https://doi.org/10.1109/JSTARS.2021.3076630
[15] Xu, H., Wei, Y.*, Li, X., Zhao, Y., Cheng, Q. (2021) A Novel Automatic Method on Pseudo-Invariant Features Extraction for Enhancing the Relative Radiometric Normalisation of High-Resolution Images. International Journal of Remote Sensing, https://doi.org/10.1080/01431161.2021.1934912
[14] Dadashova, B.*, Li, X., Turner, S., Koeneman, P. (2021) Multivariate Time Series Analysis of Urban Congestion Measures as They Relate to Socioeconomic. Socio-Economic Planning Science, https://doi.org/10.1016/j.seps.2020.100877
[13] Ma, A.*, Filippi, A., Wang, Z., Yin, Z., Huo, D., Li, X., Guneralp, B. (2020) Fast Sequential Feature Extraction for Recurrent Neural Network-based Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/ 10.1109/TGRS.2020.3018449
[12] Li, X.*, Dadashova, B., Yu, S., Zhang, Z. (2020) Rethinking Highway Safety Analysis by Leveraging Crowdsourced Waze Data. Sustainability, https://doi.org/10.3390/su122310127
[11] Yin, Z.*, Goldberg, D.W., Zhang, C., Ma, A., Li, X. (2020) A Probabilistic Framework to Improve Reverse Geocoding Output. Transactions in GIS, https://doi.org/10.1111/tgis.12623
[10] Li, X.*, Goldberg, D. W., Chu, T., Ma, A. (2019). Enhancing Driving Safety: Discovering Individualised Hazardous Driving Scenes Using GIS and Mobile Sensing. Transactions in GIS, https://doi.org/10.1111/tgis.12540
[9] Li, X.*, Huo, D., Goldberg, D. W., Chu, T., Yin, Z., Hammond, T. (2019) Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection. ISPRS International Journal of Geo-Information, https://doi.org/10.3390/ijgi8090412
[8] Xu, H., Wei, Y.*, Liu, C., Li, X., Fang, H. (2019). A Scheme for Long-Term Monitoring of Impervious-Relevant Land Disturbance Using High-Frequency Landsat Archives and Google Earth Engine. Remote Sensing, https://doi.org/10.3390/rs11161891
[7] Li, Z.*, Li, X., Wang, Y., Quiring S. (2019). Impact of Climate Change on Precipitation Patterns in Houston, Texas, USA. Anthropocene, https://doi.org/10.1016/j.ancene.2019.100193
[6] Li, X.*, & Goldberg, D. W. (2018). Toward a Mobile Crowdsensing System for Road Surface Assessment. Computers, Environment and Urban Systems, https://doi.org/10.1016/j.compenvurbsys.2017.12.005
[5] Li, X.*, Goldberg, D. W., Hammond, T., Chen, X. (2018). Geospatial Machine Learning: Predicting Accident-Prone Road Segments Using GIS and Data Mining. In Proceedings of the 22nd International Research Symposium on Computer-based Cartography and GIScience (AutoCarto/UCGIS 2018), Madison, WI, May 22- 24, 2018. https://cartogis.org/docs/proceedings/2018/AutoCarto-UCGIS-2018-Proceedings.pdf
[4] Li, X.*, Chen, R., Chu, T. (2014). A Crowdsourcing Solution for Road Surface Roughness Detection Using Smartphones. In Proceedings of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2014), Tampa, FL, September 2014. https://www.ion.org/publications/abstract.cfm?articleID=12238
[3] Chen, R.*, Chu, T., Liu, J., Li, X., Chen, Y., Chen, L. (2014). DGNSS-C: A Differential Solution for Enhancing Smartphone GNSS Performance. In Proceedings of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2014), Tampa, FL, September 2014. https://www.ion.org/publications/abstract.cfm?articleID=12237
[2] Chen, R.*, Chu, T., Liu, J., Chen, Y., Chen, L., Xu, W., Li, X., Hyyppä, J., Tang, J. (2014). Development of a Contextual Thinking Engine in Mobile Devices. In Proceedings of the 2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (2014 UPINLBS), Corpus Christi, TX, November 2014. https://doi.org/10.1109/UPINLBS.2014.7033714
[1] Xu, W.*, Chen, R., Chu, T., Kuang, L., Yang, Y., Li, X., Liu, J., Chen, Y. (2014). A Context Detection Approach Using GPS Module and Emerging Sensors in Smartphone Platform. In Proceedings of the 2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (2014 UPINLBS), Corpus Christi, TX, November 2014. https://doi.org/10.1109/UPINLBS.2014.7033723