Peer-Reviewed Journal Articles
2026
VanDyke, L., Miao, C., DeSpain, L., Dharwadker, G., Long, J., Frazier, C., & Petersen, E. A. (2026). A network-based cross-sectional study of geographic access to Medicare-participating neurosurgeons. Journal of Neurosciences in Rural Practice, 0. https://doi.org/10.25259/JNRP_100_2026
VanDyke, L., Miao, C., DeSpain, L., Long, J., Frazier, C., & Kalkwarf, K. (2026). A Network-Based Cross-Sectional Study of Geographic Access Disparities to Medicare-Participating General Surgeons in the United States. The American Surgeon, 0(0), 00031348261448911. https://doi.org/10.1177/00031348261448911
Frazier, C., Miao, C., Shalin, S., Jensen, H., & Frazier, E. (2026). A Network-Based Cross-Sectional Study of Geographic Access Disparities to Medicare-Participating Dermatologists in the United States. JAAD International, 24, 70-72. https://doi.org/10.1016/j.jdin.2025.09.016
Frazier, C., Miao, C., Evans, M. S., & Frazier, E. (2026). A Network‐Based Cross‐Sectional Geographic Examination of Access to Pediatric Dermatologists Across the US. Pediatric Dermatology, 43(2), 345–349. https://doi.org/10.1111/pde.70026
2025
Miao, C., Chen, X., & Zhang, C. (2025). Perceived built environment and non-motorist crashes: An exploration with street view imagery. Journal of Transport Geography, 128, 104363. https://doi.org/10.1016/j.jtrangeo.2025.104363
Lyu, W., Chen, X., Miao, C., Lin, Q., Xiang, X., Zhang, G., & Xu, R. (2025). Revisiting the modified Retail Food Environment Index (mRFEI): Examining food access inequities over a decade in the United States. Discover Public Health, 22(1), 318. https://doi.org/10.1186/s12982-025-00704-5
Lin, Q., Chen, X., Xiang, X., Lyu, W., Miao, C., Zhang, G., & Xu, R. (2025). Association of activity-based food environment index with obesity-related cancer mortality in the US. BMC Medicine, 23(1), 167. https://doi.org/10.1186/s12916-025-03967-6
2024
Miao, C., Chen, X., & Zhang, C. (2024). Assessing network-based traffic crash risk using prospective space-time scan statistic method. Journal of Transport Geography, 119, 103958. https://doi.org/10.1016/j.jtrangeo.2024.103958
* Won first Place in the Student Paper Contest at 2024 GIS-T Symposium of American Association of State Highway and Transportation Officials
* Won third Place in the Spatial Analysis and Modeling Specialty Group Student Paper Competition at the 2024 AAG Annual Meeting
* Won Annual Meeting Travel Award in the Applied Geography Specialty Group at the 2024 AAG Annual Meeting
Peer-Reviewed Conference Papers
2025
Miao, C., He, S., Li, Y., & Zhang, C. (2025). A Spatially-Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction. Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL ’25, 1114–1117. https://doi.org/10.1145/3748636.3763207
* Won NSF Student Travel Award
2014
Miao, C., & Zhao, Y. (2014). Rotation-invariant image retrieval using hidden Markov tree for remote sensing data. In Proceedings of the SPIE Asia-Pacific Remote Sensing (Vol. 9263). SPIE. https://doi.org/10.1117/12.2068889
2013
Zhao, Y., Han, T., Feng, S., & Miao, C. (2013). Remote Sensing Image Mosaic by Incorporating Segmentation and the Shortest Path. In F. Bian, Y. Xie, X. Cui, & Y. Zeng (Eds.), Geo-Informatics in Resource Management and Sustainable Ecosystem (pp. 684–691). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_67
Book Chapter
2025
Chen, X., Miao, C., Lyu, W., Mai, G., Xu, R. (2025). From Space to Context: Contextualizing the Food Environment with GeoAI. In: Huang, X., Wang, S., Wilson, J., Kedron, P. (eds) GeoAI and Human Geography. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-87421-5_12
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