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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:

A review of train delay prediction approaches
Thomas Spanninger, Alessio Trivella, Beda Büchel, et al.
Journal of Rail Transport Planning & Management (2022) Vol. 22, pp. 100312-100312
Open Access | Times Cited: 41

Showing 1-25 of 41 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
An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree
Dalin Zhang, Yi Xu, Yunjuan Peng, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 2, pp. 421-433
Open Access | Times Cited: 23
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
Data-driven insights to reduce uncertainty from disruptive events in passenger railways
Luís Marques, Sérgio Moro, Pedro Ramos
Public Transport (2025)
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
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 novel deep learning model for short-term train delay prediction
Bowen Gao, Lei Zhang, Dongxiu Ou, et al.
Information Sciences (2023) Vol. 645, pp. 119270-119270
Closed Access | Times Cited: 9
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
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
Capturing complexity over space and time via deep learning: An application to real-time delay prediction in railways
Léon Sobrie, Marijn Verschelde, Veerle Hennebel, et al.
European Journal of Operational Research (2023) Vol. 310, Iss. 3, pp. 1201-1217
Closed Access | Times Cited: 5
Heterogeneous Machine Learning Ensembles for Predicting Train Delays
Mostafa Al Ghamdi, Gerard Parr, Wenjia Wang
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 5138-5153
Open Access | Times Cited: 1
An approach to railway network sections modeling based on queuing networks
А. Л. Казаков, Anna Lempert, Maxim Zharkov
Journal of Rail Transport Planning & Management (2023) Vol. 27, pp. 100404-100404
Closed Access | Times Cited: 4
Intelligent algorithms applied to the prediction of air freight transportation delays
Guilherme Dayrell Mendonça, Stanley Robson de Medeiros Oliveira, Orlando Fontes Lima, et al.
International Journal of Physical Distribution & Logistics Management (2023) Vol. 54, Iss. 1, pp. 61-91
Closed Access | Times Cited: 4
Analyzing Factors Contributing to Real-time Train Arrival Delays using Seemingly Unrelated Regression Models
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Train Delay Predictions Using Markov Chains Based on Process Time Deviations and Elastic State Boundaries
Thomas Spanninger, Beda Büchel, Francesco Corman
Mathematics (2023) Vol. 11, Iss. 4, pp. 839-839
Open Access | Times Cited: 3
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
Detecting metro service disruptions via large-scale vehicle location data
Nan Zhang, Daniel J. Graham, Prateek Bansal, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 144, pp. 103880-103880
Open Access | Times Cited: 4
Gaussian Noise Data Augmentation-Based Delay Prediction for High-Speed Railways
Hairong Dong, Jinxing Wang, Xingtang Wu, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 6, pp. 8-18
Closed Access | Times Cited: 2
Bi-Directional Delay Propagation Analysis and Modeling for High-Speed Railway Networks Under Disturbance
Wenbo Lian, Xingtang Wu, Min Zhou, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 3, pp. 3207-3217
Closed Access | Times Cited: 2
Online prediction of arrival and departure times in each station for passenger trains using machine learning methods
Shekoofeh Vafaei, Masoud Yaghini
Transportation Engineering (2024) Vol. 16, pp. 100250-100250
Open Access
Forecasting train arrival delays on the Ankara – Eskişehir high-speed line in Turkey
Özgül Ardıç
Journal of Rail Transport Planning & Management (2024) Vol. 30, pp. 100448-100448
Closed Access
Barzilai Borwein Incremental Grey Polynomial Regression for train delay prediction
Ajay Pratap Singh, Rajesh Kumar Dhanaraj, Seifedine Kadry
Expert Systems (2024) Vol. 41, Iss. 10
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
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