- Hu, S., Yang, Z., Xing, H., Chen, Z., Liu, W., Ao, Z., ... & Li, J. (2024). Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images. International Journal of Geographical Information Science, 1-23.（唯一第一作者，中科院一区）
- Hu, S., Xing, H., Luo, W., Wu, L., Xu, Y., Huang, W., ... & Li, T. (2023). Uncovering the association between traffic crashes and street-level built-environment features using street view images. International Journal of Geographical Information Science, 37(11), 2367-2391.（唯一第一作者，中科院一区）
- Hu, S., Xu, Y., Wu, L., Wu, X., Wang, R., Zhang, Z., ... & Mao, W. (2021). A framework to detect and understand thematic places of a city using geospatial data. Cities, 109, 103012.（唯一第一作者，中科院一区）
- Hu, S., Gao, S., Wu, L., Xu, Y., Zhang, Z., Cui, H., & Gong, X. (2021). Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach. Computers, Environment and Urban Systems, 87, 101619.（唯一第一作者，高被引论文，中科院一区）
- Hu, S., He, Z., Wu, L., Yin, L., Xu, Y., & Cui, H. (2020). A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data. Computers, Environment and Urban Systems, 80, 101442.（唯一第一作者，中科院一区）
- Hu, S., Gao, S., Luo, W., Wu, L., Li, T., Xu, Y., & Zhang, Z. (2023). Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. Annals of GIS, 29(4), 499-516.（唯一第一作者，中科院三区）
- Xu, Y., Mao W., & Hu, S.*, (2025) Unveiling the pulse of urban metro stations: a TOD-driven approach to measuring vibrancy using geographically weighted random forest, International Journal of Digital Earth, 18:1, 2524054, DOI: 10.1080/17538947.2025.2524054（唯一通讯作者，中科院二区）
- Gong, X., Li, T., Wang, R., Hu, S.*, & Yuan, S. (2025). Beyond the Remote Sensing Ecological Index: A Comprehensive Ecological Quality Evaluation Using a Deep-Learning-Based Remote Sensing Ecological Index. Remote Sensing, 17(3), 558.（唯一通讯作者，中科院二区）
2、参与论文
- Liu, W., Cai, H., Xing, H., Hu, S., Tan, Z., & Song, C. (2025). Alleviating the resolution limit problem in spatial community detection: a local network structure-based method. International Journal of Geographical Information Science, 39(3), 510-532.
- Xu, Y., Jin, S., Chen, Z., Xie, X., Hu, S., & Xie, Z. (2022). Application of a graph convolutional network with visual and semantic features to classify urban scenes. International Journal of Geographical Information Science, 36(10), 2009-2034.
- Zhang, Z., Wu, L., Tao, L., Hu, S., Long, H., Xu, Y., ... & Luo, W. (2024). Geospatial Applications in Alzheimer’s Disease Research and Beyond: A Systematic Review. Annals of the American Association of Geographers, 114(9), 1911-1929.
- Cui, H., Wu, L., Hu, S., Lu, R., & Wang, S. (2021). Research on the driving forces of urban hot spots based on exploratory analysis and binary logistic regression model. Transactions in GIS, 25(3), 1522-1541.
- Cui, H., Wu, L., Hu, S., & Lu, R. (2021). Measuring the service capacity of public facilities based on a dynamic voronoi diagram. Remote Sensing, 13(5), 1027.
- Liu, Y., Zhang, W., Liu, W., Tan, Z., Hu, S., Ao, Z., ... & Xing, H. (2024). Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones. Sustainable Cities and Society, 105268.
- Xu, Y., Zhou, B., Jin, S., Xie, X., Chen, Z., Hu, S., & He, N. (2022). A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method. Computers, Environment and Urban Systems, 95, 101807.
- Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., ... & Chen, M. (2023). Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography, 154, 102923.
