| A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data J Bao, P Liu, SV Ukkusuri Accident Analysis & Prevention 122, 239-254, 2019 | 263 | 2019 |
| Exploring bikesharing travel patterns and trip purposes using smart card data and online point of interests J Bao, C Xu, P Liu, W Wang Networks and Spatial Economics 17, 1231-1253, 2017 | 143 | 2017 |
| Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China C Xu, J Bao, C Wang, P Liu Journal of safety research 67, 65-75, 2018 | 135 | 2018 |
| Incorporating twitter-based human activity information in spatial analysis of crashes in urban areas J Bao, P Liu, H Yu, C Xu Accident analysis & prevention 106, 358-369, 2017 | 79 | 2017 |
| Quantitative risk assessment of freeway crash casualty using high-resolution traffic data C Xu, Y Wang, P Liu, W Wang, J Bao Reliability Engineering & System Safety 169, 299-311, 2018 | 65 | 2018 |
| Understanding the effects of trip patterns on spatially aggregated crashes with large-scale taxi GPS data J Bao, P Liu, X Qin, H Zhou Accident Analysis & Prevention 120, 281-294, 2018 | 64 | 2018 |
| Technology characteristics, stakeholder pressure, social influence, and green innovation: empirical evidence from Chinese express companies H Zhang, J He, X Shi, Q Hong, J Bao, S Xue Sustainability 12 (7), 2891, 2020 | 48 | 2020 |
| Spatial analysis of bikeshare ridership with smart card and POI data using geographically weighted regression method J Bao, X Shi, H Zhang IEEE Access 6, 76049-76059, 2018 | 44 | 2018 |
| Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction J Bao, Z Yang, W Zeng Transportation Research Part C: Emerging Technologies 130, 103323, 2021 | 43 | 2021 |
| Estimating queue length for contraflow left-turn lane design at signalized intersections P Liu, J Wu, H Zhou, J Bao, Z Yang Journal of Transportation Engineering, Part A: Systems 145 (6), 04019020, 2019 | 31 | 2019 |
| Exploring the spatial impacts of human activities on urban traffic crashes using multi-source big data J Bao, Z Yang, W Zeng, X Shi Journal of transport geography 94, 103118, 2021 | 30 | 2021 |
| Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach J Zhao, P Liu, C Xu, J Bao Accident Analysis & Prevention 159, 106293, 2021 | 27 | 2021 |
| Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework J Bao, H Yu, J Wu IET Intelligent Transport Systems 13 (9), 1340-1347, 2019 | 26 | 2019 |
| A hybrid spatiotemporal deep learning model for short‐term metro passenger flow prediction H Zhang, J He, J Bao, Q Hong, X Shi Journal of Advanced Transportation 2020 (1), 4656435, 2020 | 20 | 2020 |
| A real-time trajectory prediction method of small-scale quadrotors based on GPS data and neural network Z Yang, R Tang, J Bao, J Lu, Z Zhang Sensors 20 (24), 7061, 2020 | 13 | 2020 |
| Exploring contributing factors to the usage of ridesourcing and regular taxi services with high-resolution GPS data set J Bao, P Liu, P Blythe, J Wu Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 13 | 2018 |
| Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach J Bao, J Kang, Z Yang, X Chen Expert Systems with Applications 210, 118475, 2022 | 8 | 2022 |
| A Systematic Approach to Context Aware Service Design. T Lu, J Bao J. Comput. 7 (1), 207-217, 2012 | 8 | 2012 |
| Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model J Bao, Y Chen, J Yin, X Chen, D Zhu Journal of Air Transport Management 108, 102374, 2023 | 7 | 2023 |
| Investigating spatial interdependence in E-bike choice using spatially autoregressive model C Xu, C Wang, W Wang, J Bao, M Yang Promet-Traffic&Transportation 29 (4), 351-362, 2017 | 6 | 2017 |
Pan LiuProfessor of Transportation Engineering, Southeast University在 seu.edu.cn 的电子邮件经过验证
