| Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections C Xiong, S Hu, M Yang, W Luo, L Zhang Proceedings of the National Academy of Sciences 117 (44), 27087-27089, 2020 | 228 | 2020 |
| A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic S Hu, C Xiong, M Yang, H Younes, W Luo, L Zhang Transportation Research Part C: Emerging Technologies 124, 102955, 2021 | 104 | 2021 |
| Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States Y Pan, A Darzi, A Kabiri, G Zhao, W Luo, C Xiong, L Zhang Scientific Reports 10 (1), 20742, 2020 | 84 | 2020 |
| Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA C Xiong, S Hu, M Yang, H Younes, W Luo, S Ghader, L Zhang Journal of the Royal Society Interface 17 (173), 20200344, 2020 | 43 | 2020 |
| Quantifying human mobility behavior changes in response to non-pharmaceutical interventions during the COVID-19 outbreak in the United States Y Pan, A Darzi, A Kabiri, G Zhao, W Luo, C Xiong, L Zhang arXiv preprint arXiv:2005.01224, 2020 | 15 | 2020 |
| Data-driven modeling reveals the impact of stay-at-home orders on human mobility during the COVID-19 pandemic in the US C Xiong, S Hu, M Yang, HN Younes, W Luo, S Ghader, L Zhang arXiv preprint arXiv:2005.00667, 2020 | 11 | 2020 |
| Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach S Hu, W Luo, A Darzi, Y Pan, G Zhao, Y Liu, C Xiong PloS one 16 (11), e0259803, 2021 | 8 | 2021 |
| Flatten the curve: Empirical evidence on how non-pharmaceutical interventions substituted pharmaceutical treatments during COVID-19 pandemic W Luo, W Guo, S Hu, M Yang, X Hu, C Xiong Plos one 16 (10), e0258379, 2021 | 3 | 2021 |
| An Interstate Trips Analysis during COVID-19 in the United States W Zhou, M Lee, Q Sun, W Luo, C Xiong, L Zhang arXiv preprint arXiv:2007.02020, 2020 | 2 | 2020 |
| Modeling the frequency of pedestrian and bicyclist crashes at intersections: big data-driven evidence from Maryland J Mahmoudi, C Xiong, M Yang, W Luo Transportation research record, 03611981221122776, 2022 | 1 | 2022 |
| A Data-Driven Safety Dashboard Assessing Maryland Statewide Density Exposure of Pedestrians, Bicycles, and E-Scooters C Xiong, J Mahmoudi, W Luo, M Yang, J Zheng, C Delion Maryland. Department of Transportation. State Highway Administration, 2021 | 1 | 2021 |
| A Big-Data Driven Framework to Estimating Vehicle Volume based on Mobile Device Location Data M Yang, W Luo, M Ashoori, J Mahmoudi, C Xiong, J Lu, G Zhao, ... arXiv preprint arXiv:2301.08660, 2023 | | 2023 |
| Vulnerable User Density Exposure Risk Dashboard [supporting dataset] C Xiong, J Mahmoudi, M Yang, W Luo | | 2021 |
Chenfeng XiongVillanova University在 villanova.edu 的电子邮件经过验证
