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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Train Dispatching Management With Data- Driven Approaches: A Comprehensive Review and Appraisal
Chao Wen, Ping Huang, Zhongcan Li, et al.
IEEE Access (2019) Vol. 7, pp. 114547-114571
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A literature review of Artificial Intelligence applications in railway systems
Ruifan Tang, Lorenzo De Donato, Nikola Bešinović, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 140, pp. 103679-103679
Open Access | Times Cited: 147
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Ping Huang, Chao Wen, Liping Fu, et al.
Transportation Research Part E Logistics and Transportation Review (2020) Vol. 141, pp. 102022-102022
Closed Access | Times Cited: 70
Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications
Nikola Bešinović, Lorenzo De Donato, Francesco Flammini, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 14011-14024
Open Access | Times Cited: 67
A review of data-driven approaches to predict train delays
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Transportation Research Part C Emerging Technologies (2023) Vol. 148, pp. 104027-104027
Open Access | Times Cited: 34
Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions
Shuguang Zhan, Jiemin Xie, S.C. Wong, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 183, pp. 103429-103429
Open Access | Times Cited: 13
Explainable train delay propagation: A graph attention network approach
Ping Huang, Jingwei Guo, Shuming Liu, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 184, pp. 103457-103457
Closed Access | Times Cited: 10
A Bayesian network model to predict the effects of interruptions on train operations
Ping Huang, Javad Lessan, Chao Wen, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 114, pp. 338-358
Closed Access | Times Cited: 57
Enhancing the Understanding of Train Delays With Delay Evolution Pattern Discovery: A Clustering and Bayesian Network Approach
Ping Huang, Thomas Spanninger, Francesco Corman
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 15367-15381
Closed Access | Times Cited: 33
Quantum Annealing in the NISQ Era: Railway Conflict Management
Krzysztof Domino, Mátyás Koniorczyk, Krzysztof Krawiec, et al.
Entropy (2023) Vol. 25, Iss. 2, pp. 191-191
Open Access | Times Cited: 18
Near-term train delay prediction in the Dutch railways network
Zhongcan Li, Chao Wen, Rui Hu, et al.
International Journal of Rail Transportation (2020) Vol. 9, Iss. 6, pp. 520-539
Closed Access | Times Cited: 41
A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications
Mauro José Pappaterra, Francesco Flammini, Valeria Vittorini, et al.
Infrastructures (2021) Vol. 6, Iss. 10, pp. 136-136
Open Access | Times Cited: 38
Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition
Ping Huang, Zhongcan Li, Chao Wen, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114996-114996
Closed Access | Times Cited: 37
Blockchain‐enabled virtual coupling of automatic train operation fitted mainline trains for railway traffic conflict control
Ganesan Muniandi
IET Intelligent Transport Systems (2020) Vol. 14, Iss. 6, pp. 611-619
Closed Access | Times Cited: 38
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning
Ping Zhou, Lefang Chen, Xuewu Dai, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 12, pp. 7432-7444
Open Access | Times Cited: 34
A Review of Deep Learning Applications for Railway Safety
Kyue Taek Oh, Mintaek Yoo, Nayoung Jin, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10572-10572
Open Access | Times Cited: 20
Train traffic control in merging stations: A data-driven approach
Ping Huang, Zhongcan Li, Yongqiu Zhu, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 152, pp. 104155-104155
Closed Access | Times Cited: 12
Data-driven decision support for rail traffic control: A predictive approach
Jie Luo, Qiyuan Peng, Chao Wen, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118050-118050
Open Access | Times Cited: 15
Identifying the rail operating features associated to intermodal freight rail operation delays
Juan Pineda-Jaramillo, Francesco Viti
Transportation Research Part C Emerging Technologies (2022) Vol. 147, pp. 103993-103993
Closed Access | Times Cited: 15
Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models
Juan Pineda-Jaramillo, Federico Bigi, Tommaso Bosi, et al.
IEEE Access (2023) Vol. 11, pp. 46966-46978
Open Access | Times Cited: 8
Quadratic and higher-order unconstrained binary optimization of railway rescheduling for quantum computing
Krzysztof Domino, Akash Kundu, Özlem Salehi, et al.
Quantum Information Processing (2022) Vol. 21, Iss. 9
Open Access | Times Cited: 12
Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective
Jiamin Zhang, Jiarui Zhang
Discrete Dynamics in Nature and Society (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 6
Predictive models for influence of primary delays using high‐speed train operation records
Zhongcan Li, Ping Huang, Chao Wen, et al.
Journal of Forecasting (2020) Vol. 39, Iss. 8, pp. 1198-1212
Closed Access | Times Cited: 16
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays
Jianqing Wu, Yihui Wang, Bo Du, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 3, pp. 2445-2456
Closed Access | Times Cited: 15
Smart Railway Level Crossing System for Avoiding Accidents
Ghulam Fiza Mirza, Yahya Sameen Junejo, Faisal Karim Shaikh, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 5
MLOps in freight rail operations
Juan Pineda-Jaramillo, Francesco Viti
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106222-106222
Closed Access | Times Cited: 5
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