| Impacts of COVID-19 on public transit ridership Y Qi, J Liu, T Tao, Q Zhao International Journal of Transportation Science and Technology 12 (1), 34-45, 2023 | 78 | 2023 |
| Analysis of factors contributing to the severity of large truck crashes J Li, J Liu, P Liu, Y Qi Entropy 22 (11), 1191, 2020 | 25 | 2020 |
| Using Bidirectional Encoder Representations from Transformers (BERT) to classify traffic crash severity types AH Oliaee, S Das, J Liu, MA Rahman Natural Language Processing Journal 3, 100007, 2023 | 15 | 2023 |
| Deep learning based automated segmentation of air-void system in hardened concrete surface using three dimensional reconstructed images J Tao, H Gong, F Wang, X Luo, X Qiu, J Liu Construction and Building Materials 324, 126717, 2022 | 7 | 2022 |
| An Innovative Signal Timing Strategy for Implementing Contraflow Left-Turn Lanes at Signalized Intersections with Split Phasing R Guo, J Liu, Y Qi Sustainability 13 (11), 6307, 2021 | 6 | 2021 |
| 城市道路十字交叉口通行能力研究 胡永举， 施俊庆， 陶珏强， 刘锦俐 浙江师范大学学报: 自然科学版 38 (4), 466-472, 2015 | 6 | 2015 |
| Signal timing and geometric design at contraflow left-turn lane intersections R Guo, J Liu, Q Zhao, Y Qi International journal of transportation science and technology 11 (3), 619-635, 2022 | 5 | 2022 |
| ChatGPT as the Transportation Equity Information Source for Scientific Writing B Kutela, S Li, S Das, J Liu arXiv preprint arXiv:2303.11158, 2023 | 3 | 2023 |
| Analysis of the Performance of Machine Learning Models in Predicting the Severity Level of Large-Truck Crashes J Liu, Y Qi, J Tao, T Tao Future Transportation 2 (4), 939-955, 2022 | 3 | 2022 |
| Predicting pedestrian-involved crash severity using inception-v3 deep learning model MN Khan, S Das, J Liu Accident Analysis & Prevention 197, 107457, 2024 | 2 | 2024 |
| Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis J Liu, S Das, MN Khan Accident Analysis & Prevention 194, 107375, 2024 | 2 | 2024 |
| Scientometric and bibliographic analysis of pedestrian safety research S Das, X Kong, Z Wei, J Liu Transportation research record 2677 (12), 65-82, 2023 | 1 | 2023 |
| Understanding non-motorists' views on automated vehicle safety through Bayesian network analysis and latent Dirichlet allocation S Das, A Sheykhfard, J Liu, MN Khan International Journal of Transportation Science and Technology, 2023 | 1 | 2023 |
| Short-Duration Crash Modeling to Understand the Impact of Operating Speed on Freeway Crashes During COVID-19 S Das, A Khodadadi, J Liu Transportation Research Record, 03611981231169283, 2023 | 1 | 2023 |
| Severity Analysis of Large Truck Crashes-Comparision Between the Regression Modeling Methods with Machine Learning Methods J Liu Texas Southern University, 2021 | 1 | 2021 |
| Development of Guidelines for Implementation of Contraflow Left-Turn Lanes at Signalized Intersections Y Qi, Q Zhao, J Liu, T Tao, L Zhou, M Azimi, R Guo University of North Carolina at Charlotte. Center for Advanced Multimodal …, 2020 | 1 | 2020 |
| Exploring dynamic urban mobility patterns from traffic flow data using community detection J Liu, Y Yuan Annals of GIS, 1-20, 2024 | | 2024 |
| Leveraging Artificial Intelligence (AI) Techniques to Detect, Forecast, and Manage Freeway Congestion: Technical Report S Das, I Tsapakis, MN Khan, J Liu, D Mills, M Miller, K Balke, J Wu, ... Texas A&M Transportation Institute, 2023 | | 2023 |
| 基于临界车速的平面交叉口通行模式设计 胡永举， 刘锦俐， 邱欣， 陶珏强 浙江师范大学学报 (自然科学版) 3, 2018 | | 2018 |
| 基于 GRA 与 BP 神经网络的沥青路面模量参数反演分析 邱欣， 刘锦俐， 陶珏强， 杨青， 胡永举 浙江师范大学学报: 自然科学版 41 (1), 102-108, 2018 | | 2018 |
