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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 33 citing articles:

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
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
Resilience evaluation of train control on-board system considering common cause failure: Based on a beta-factor and continuous-time bayesian network model
Yaocheng Yu, Bin Shuai, Wencheng Huang
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110088-110088
Closed Access | Times Cited: 5
Railway network delay evolution: A heterogeneous graph neural network approach
Zhongcan Li, Ping Huang, Chao Wen, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111640-111640
Open Access | Times Cited: 5
Forecasting train travel times of China–Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach
Yongxiang Zhang, Liting Gu, Jingwei Guo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110552-110552
Closed Access
The Economic Value of Reserve Capacity Considering the Reliability and Robustness of a Rail Transit Network
Jie Liu, Paul Schonfeld, Shuguang Zhan, et al.
Journal of Transportation Engineering Part A Systems (2023) Vol. 149, Iss. 6
Closed Access | Times Cited: 14
A Comparative Analysis of Train Delay Prediction Models for Markov Chains
Mehmet Şirin Artan, İsmail Şahin
Transportation research procedia (2025) Vol. 82, pp. 822-835
Open Access
Predicting primary delay of train services using graph-embedding based machine learning
Ruifan Tang, Ronghui Liu, Zhiyuan Lin
Journal of Rail Transport Planning & Management (2025) Vol. 34, pp. 100518-100518
Open Access
AP-GRIP evaluation framework for data-driven train delay prediction models: systematic literature review
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
European Transport Research Review (2025) Vol. 17, Iss. 1
Open Access
Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances
Jinqu Chen, Jie Liu, Bo Du, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 24841-24853
Closed Access | Times Cited: 21
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
Quantifying the dynamic predictability of train delay with uncertainty-aware neural networks
Thomas Spanninger, Nina Wiedemann, Francesco Corman
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104563-104563
Open Access | Times Cited: 3
A hybrid machine learning approach for train trajectory reconstruction under interruptions considering passenger demand
Zishuai Pang, Liwen Wang, Li Li
International Journal of Rail Transportation (2024), pp. 1-29
Closed Access | Times Cited: 3
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
A stochastic model for reliability analysis of periodic train timetables
Mehmet Şirin Artan, İsmail Şahin
Transportmetrica B Transport Dynamics (2022) Vol. 11, Iss. 1, pp. 572-589
Closed Access | Times Cited: 12
Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction
Jianmin Li, Xinyue Xu, Xin Ding, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 8193-8208
Closed Access | Times Cited: 2
Prediction of high-speed train delay propagation based on causal text information
Qianyi Liu, Shengjie Wang, Zhongcan Li, et al.
Railway Engineering Science (2022) Vol. 31, Iss. 1, pp. 89-106
Open Access | Times Cited: 10
Dynamic train dwell time forecasting: a hybrid approach to address the influence of passenger flow fluctuations
Zishuai Pang, Liwen Wang, Shengjie Wang, et al.
Railway Engineering Science (2023) Vol. 31, Iss. 4, pp. 351-369
Open Access | Times Cited: 5
Finding Community Structure in Bayesian Networks by Heuristic K-Standard Deviation Method
Chenfeng Wang, Xiaoguang Gao, Xinyu Li, et al.
Future Generation Computer Systems (2024) Vol. 158, pp. 556-568
Closed Access | Times Cited: 1
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections
Zhongcan Li, Ping Huang, Chao Wen, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120500-120500
Closed Access | Times Cited: 4
Data‐driven train delay prediction incorporating dispatching commands: An XGBoost‐metaheuristic framework
Tianze Gao, Junhua Chen, Huizhang Xu
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 10, pp. 1777-1796
Open Access | Times Cited: 3
Forecasting estimated times of arrival of US freight trains
Zhen Liu, MA Qing-song, Haichuan Tang, et al.
Transportation Planning and Technology (2022) Vol. 45, Iss. 5, pp. 427-448
Closed Access | Times Cited: 5
Performance evaluation model for operation research teaching based on IoT and Bayesian network technology
Linjun Kong
Soft Computing (2024) Vol. 28, Iss. 4, pp. 3613-3631
Closed Access
Short-term train arrival delay prediction: a data-driven approach
Qingyun Fu, Shuxin Ding, Tao Zhang, et al.
Railway Sciences (2024) Vol. 3, Iss. 4, pp. 514-529
Open Access
Towards Efficient Rail Transportation: Bayesian Network Modeling for Predicting Passenger Train Delays Using Secondary Train Information
Maarten Vangeneugden, Ngoc Quang Luong, Siegfried Mercelis
(2024), pp. 1425-1431
Closed Access
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