| Train dispatching management with data-driven approaches: A comprehensive review and appraisal C Wen, P Huang, Z Li, J Lessan, L Fu, C Jiang, X Xu IEEE Access 7, 114547-114571, 2019 | 76 | 2019 |
| Statistical investigation on train primary delay based on real records: evidence from Wuhan–Guangzhou HSR C Wen, Z Li, J Lessan, L Fu, P Huang, C Jiang International Journal of Rail Transportation 5 (3), 170-189, 2017 | 71 | 2017 |
| A predictive model of train delays on a railway line C Wen, W Mou, P Huang, Z Li Journal of Forecasting 39 (3), 470-488, 2020 | 59 | 2020 |
| A hybrid model to improve the train running time prediction ability during high-speed railway disruptions P Huang, C Wen, L Fu, Q Peng, Z Li Safety Science 122, 104510, 2020 | 47 | 2020 |
| Near-term train delay prediction in the Dutch railways network ZC Li, C Wen, R Hu, C Xu, P Huang, X Jiang International Journal of Rail Transportation 9 (6), 520-539, 2021 | 39 | 2021 |
| Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition P Huang, Z Li, C Wen, J Lessan, F Corman, L Fu Expert Systems with Applications 177, 114996, 2021 | 36 | 2021 |
| Prediction of train arrival delays considering route conflicts at multi-line stations Z Li, P Huang, C Wen, X Jiang, F Rodrigues Transportation Research Part C: Emerging Technologies 138, 103606, 2022 | 25 | 2022 |
| Predictive models for influence of primary delays using high‐speed train operation records Z Li, P Huang, C Wen, Y Tang, X Jiang Journal of Forecasting 39 (8), 1198-1212, 2020 | 12 | 2020 |
| Train traffic control in merging stations: A data-driven approach P Huang, Z Li, Y Zhu, C Wen, F Corman Transportation research part C: emerging technologies 152, 104155, 2023 | 11 | 2023 |
| Cause-specific investigation of primary delays of Wuhan–Guangzhou HSR C Wen, Z Li, P Huang, J Lessan, L Fu, C Jiang Transportation Letters 12 (7), 451-464, 2020 | 11 | 2020 |
| 基于高速列车运行实绩的致因-初始晚点时长分布模型 庄河， 文超， 李忠灿， 汤轶雄， 黄平 铁道学报 39 (9), 25-31, 2017 | 10 | 2017 |
| Statistical analysis of train delay and delay propagation patterns in a high-speed railway system P Huang, C Wen, J Li, Q Peng, Z Li, Z Fu 2019 5th International Conference on Transportation Information and Safety …, 2019 | 9 | 2019 |
| Prediction of high-speed train delay propagation based on causal text information Q Liu, S Wang, Z Li, L Li, J Zhang, C Wen Railway Engineering Science 31 (1), 89-106, 2023 | 7 | 2023 |
| Train operation conflict detection for high-speed railways: a naive Bayes approach J Li, Z Li, C Wen, Q Peng, P Huang International Journal of Rail Transportation 11 (2), 188-206, 2023 | 6 | 2023 |
| Support vector regression models for influenced time prediction in high-speed rail system Y Tang, C Wen, P Huang, Z Li, J Li, Y Yang Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 6 | 2018 |
| Progress and perspective of data-driven train delay propagation WEN Chao, LI Zhongcan, H Ping, T Rui, MOU Weiwei, LI Li China Safety Science Journal 29 (S2), 1, 2019 | 5 | 2019 |
| Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections Z Li, P Huang, C Wen, J Li, F Rodrigues Expert Systems with Applications 229, 120500, 2023 | 4 | 2023 |
| A neural network model for real-time prediction of high-speed railway delays H Ping, W Chao, L Zhongcan, Y Yuxiang, P Qiyuan China Safety Science Journal 29 (S1), 20, 2019 | 4 | 2019 |
| Study on high-speed railway disruption classification and model of its influence on train number H Ping, P Qiyuan, WEN Chao, LI Zhongcan China Safety Science Journal 28 (S2), 46, 2018 | 4 | 2018 |
| Mining train delay propagation pattern from train operation records in a high-speed system P Huang, C Wen, Z Li RailNorrköping 2019. 8th International Conference on Railway Operations …, 2019 | 3 | 2019 |
Ping Huang 黄平Southwest Jiaotong University在 swjtu.edu.cn 的电子邮件经过验证
