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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:

Train Delay Prediction Systems: A Big Data Analytics Perspective
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, et al.
Big Data Research (2017) Vol. 11, pp. 54-64
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Recent applications of big data analytics in railway transportation systems: A survey
Faeze Ghofrani, Qing He, Rob M.P. Goverde, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 90, pp. 226-246
Closed Access | Times Cited: 278
The state of the art and taxonomy of big data analytics: view from new big data framework
Azlinah Mohamed, Maryam Khanian Najafabadi, Yap Bee Wah, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 2, pp. 989-1037
Closed Access | Times Cited: 222
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 2, pp. 81-97
Open Access | Times Cited: 92
Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe, et al.
Cluster Computing (2022) Vol. 25, Iss. 5, pp. 3343-3387
Closed Access | Times Cited: 73
Stochastic prediction of train delays in real-time using Bayesian networks
Francesco Corman, Pavle Kecman
Transportation Research Part C Emerging Technologies (2018) Vol. 95, pp. 599-615
Open Access | Times Cited: 122
Machine learning for next‐generation intelligent transportation systems: A survey
Tingting Yuan, Wilson da Rocha Neto, Christian Esteve Rothenberg, et al.
Transactions on Emerging Telecommunications Technologies (2021) Vol. 33, Iss. 4
Open Access | Times Cited: 82
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
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
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
An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China–Europe railway express
Jingwei Guo, Wei Wang, Jiayi Guo, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123989-123989
Closed Access | Times Cited: 8
An ensemble prediction model for train delays
Rahul Nair, Thanh Lam Hoang, Marco Laumanns, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 104, pp. 196-209
Closed Access | Times Cited: 72
Train delay analysis and prediction based on big data fusion
Pu Wang, Qingpeng Zhang
Transportation Safety and Environment (2019) Vol. 1, Iss. 1, pp. 79-88
Open Access | Times Cited: 60
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
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
Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network
Dalin Zhang, Yunjuan Peng, Yumei Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 3, pp. 2434-2444
Open Access | Times Cited: 42
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
Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review
Camilo Laiton-Bonadiez, John W. Branch, Julián Andrés Zapata-Cortés, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2491-2491
Open Access | Times Cited: 28
Big data analytics deep learning techniques and applications: A survey
Hend A. Selmy, Hoda K. Mohamed, Walaa Medhat
Information Systems (2023) Vol. 120, pp. 102318-102318
Closed Access | Times Cited: 19
A systematic review on big data applications and scope for industrial processing and healthcare sectors
Kumar Rahul, Rohitash Kumar Banyal, Neeraj K. Arora
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 18
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
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
Impact of delay on the formation of high-order interactions and structural imbalance
M. H. Hakimi Siboni, Gholamreza Jafari
Physical review. E (2025) Vol. 111, Iss. 1
Closed 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
Progress on Artificial Neural Networks for Big Data Analytics: A Survey
Haruna Chiroma, Usman Ali Abdullahi, Shafi’i Muhammad Abdulhamid, et al.
IEEE Access (2018) Vol. 7, pp. 70535-70551
Open Access | Times Cited: 52
Predicting Near-Term Train Schedule Performance and Delay Using Bi-Level Random Forests
Mohammad Amin Nabian, Negin Alemazkoor, Hadi Meidani
Transportation Research Record Journal of the Transportation Research Board (2019) Vol. 2673, Iss. 5, pp. 564-573
Closed Access | Times Cited: 52
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