| Short-term traffic flow prediction: An integrated method of econometrics and hybrid deep learning Z Cheng, J Lu, H Zhou, Y Zhang, L Zhang IEEE Transactions on Intelligent Transportation Systems 23 (6), 5231-5244, 2021 | 55 | 2021 |
| Visualization and bibliometric analysis of e-bike studies: A systematic literature review (1976–2023) J Zhou, Z Li, S Dong, J Sun, Y Zhang Transportation research part D: transport and environment 122, 103891, 2023 | 18 | 2023 |
| Proactive safety analysis using roadside LiDAR based vehicle trajectory data: a study of rear-end crashes N Bhattarai, Y Zhang, H Liu, Y Pakzad, H Xu Transportation research record 2678 (3), 772-785, 2024 | 11 | 2024 |
| An unsupervised clustering method for processing roadside LiDAR data with improved computational efficiency Y Zhang, N Bhattarai, J Zhao, H Liu, H Xu IEEE Sensors Journal 22 (11), 10684-10691, 2022 | 10 | 2022 |
| Traffic volume detection using infrastructure-based LiDAR under different levels of service conditions J Zhao, H Xu, Y Zhang, Y Tian, H Liu Journal of Transportation Engineering, Part A: Systems 147 (11), 04021080, 2021 | 9 | 2021 |
| Origin‐Destination‐Based Travel Time Reliability under Different Rainfall Intensities: An Investigation Using Open‐Source Data Q Zhang, H Chen, H Liu, W Li, Y Zhang Journal of Advanced Transportation 2020 (1), 8816020, 2020 | 8 | 2020 |
| Crash frequency prediction based on extreme value theory using roadside lidar-based vehicle trajectory data N Bhattarai, Y Zhang, H Liu, H Xu Accident Analysis & Prevention 193, 107306, 2023 | 7 | 2023 |
| Automatic identification of vehicle partial occlusion in data collected by roadside LiDAR sensors J Zhao, H Xu, Y Zhang, V Shankar, H Liu Transportation research record 2676 (5), 708-718, 2022 | 7 | 2022 |
| Study on Pinning Control Methods of Urban Road Traffic Network L Zheng, Y Zhang, T Ding, J Hu, X Xiao, H Zhou CICTP 2019, 3262-3273, 2019 | 1 | 2019 |
