1.        Li Z, Huang P, Wen C, et al. Prediction of train arrival delays considering route conflicts at multi-line stations[J]. Transportation Research Part C: Emerging Technologies, 2022, 138: 103606. (中科院1区Top)

2.        Li Z, Huang P, Wen C, et al. Initial Departure Delay Predictions Using Deep Learning Approaches: A Combination of Route Conflicts and Rolling Stock Connections [J]. 2023: 120500. Expert Systems with Applications. (中科院1区Top)

3.        Li Z, Huang P, Wen C, et al. Railway network delay evolution: A heterogeneous graph neural network approach[J]. Applied Soft Computing, 2024, 159: 111640. (中科院1区Top)

4.        Li Z, Wei D, Yindong J, et al. Integrating graph and neural relational inference for network-wide train delay prediction: An equilibrium between accuracy and interpretability [J]. Transportation Research Part C: Emerging Technologies (中科院1区Top)

5.        Li Z, Wen C, Hu R, et al. Near-term train delay prediction in the Dutch railways network[J]. International Journal of Rail Transportation, 2021, 9(6): 520-539. (中科院2区)

6.        Li Z, Huang P, Wen C, et al. Predictive models for influence of primary delays using high‐speed train operation records[J]. Journal of Forecasting, 2020, 39(8): 1198-1212. (中科院3区)

7.        Huang P, Li Z*, Yongqiu Z, et al. Train traffic control in merging stations: a data-driven approach [J]. Transportation Research Part C: Emerging Technologies, 2023, 152: 104155 (中科院1区top，通讯作者)

8.      Huang, P., D’Ariano, A., Yang, Y., Lu, G., Li, Z*., & Corman, F. (2026). Robust train timetabling based on realized operations: a data-driven prediction-optimization framework. Transportation Research Part E: Logistics and Transportation Review, 213, 104923. (中科院1区top，通讯作者)

9.        Huang P, Peng Z, Li Z*, et al. Solving the railway timetable rescheduling problem with graph neural networks [J]. Railway Engineering Science , 2025: 1-22. (中科院2区，通讯作者)

10.        Liu Q, Wang S, Li Z*, et al. Prediction of high-speed train delay propagation based on causal text information[J]. Railway Engineering Science, 2022: 1-18. (中科院2区，通讯作者)

11.      Wen C, Li Z, Lessan J, et al. Statistical investigation on train primary delay based on real records: evidence from Wuhan–Guangzhou HSR[J]. International Journal of Rail Transportation, 2017, 5(3): 170-189. (导师1作，中科院2区)

12.      Wen C, Li Z, Huang P, et al. Cause-specific investigation of primary delays of Wuhan–Guangzhou HSR[J]. Transportation Letters, 2020, 12(7): 451-464. (中科院3区)

13.      Li Z, Huang P, Wen C, et al. Modelling Rail System Delay Influences to Support Improved Delay Propagation Prediction [C], Transportation Research Board 99th Annual Meeting, 2020.01. (国际会议)

14.      Li Z, Huang P, Rong C, et al. Prediction of Train Departure Delays at Multi-line Stations Considering Network Propagation Effects [C], Transportation Research Board 101th Annual Meeting, 2022.01. (国际会议)

15.      文超, 李忠灿, 黄平, 等. 高速铁路初始晚点致因-影响列车数分布模型[J]. 西南交通大学学报, 2018, 53(6): 1261-1269. (EI)

16.      文超, 李忠灿, 黄平, 等. 数据驱动的列车晚点传播研究[J]. 中国安全科学学报, 2019, 29(S2): 1. (CSCD)

17.      Huang P, Li Z, Wen C, et al. Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition[J]. Expert Systems with Applications, 2021, 177: 114996. (中科院1区Top)

          18.  Li J, Li Z, Wen C, et al. Train operation conflict detection for high-speed railways: a naïve Bayes approach[J]. International Journal of Rail Transportation, 2022: 1-19. (中科院2区)