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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 26-50 of 120 citing articles:

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
Prediction of train arrival delays considering route conflicts at multi-line stations
Zhongcan Li, Ping Huang, Chao Wen, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 138, pp. 103606-103606
Open Access | Times Cited: 26
Machine Learning in Urban Rail Transit Systems: A Survey
Li Zhu, Cheng Chen, Hongwei Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2182-2207
Closed Access | Times Cited: 14
A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction
Dawei Wang, Jingwei Guo, Chunyang Zhang
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 4
Industry 4.0 for passenger railway companies: A maturity model proposal for technology management
M. Franz, Néstor Fabián Ayala, Ana Margarita Larrañaga
Journal of Rail Transport Planning & Management (2024) Vol. 32, pp. 100480-100480
Closed Access | Times Cited: 4
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
Parallel computing in railway research
Qing Wu, Maksym Spiryagin, Colin Cole, et al.
International Journal of Rail Transportation (2018) Vol. 8, Iss. 2, pp. 111-134
Open Access | Times Cited: 43
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
Estimating the robustness of public transport schedules using machine learning
Matthias Müller–Hannemann, Ralf Rückert, Alexander Schiewe, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 137, pp. 103566-103566
Closed Access | Times Cited: 21
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
Disruptive Maintenance Engineering 4.0
Miguel Angel Navas, Carlos Sancho, J. Carpio
International Journal of Quality & Reliability Management (2020) Vol. 37, Iss. 6/7, pp. 853-871
Closed Access | Times Cited: 28
Automatic train regulation of complex metro networks with transfer coordination constraints: A distributed optimal control framework
Shukai Li, Xuesong Zhou, Lixing Yang, et al.
Transportation Research Part B Methodological (2018) Vol. 117, pp. 228-253
Closed Access | Times Cited: 28
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
Real-Time Passenger Train Delay Prediction Using Machine Learning: A Case Study With Amtrak Passenger Train Routes
Pipatphon Lapamonpinyo, Sybil Derrible, Francesco Corman
IEEE Open Journal of Intelligent Transportation Systems (2022) Vol. 3, pp. 539-550
Open Access | Times Cited: 14
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
Mining Big Data with Random Forests
Alessandro Lulli, Luca Oneto, Davide Anguita
Cognitive Computation (2019) Vol. 11, Iss. 2, pp. 294-316
Closed Access | Times Cited: 25
Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks
Jacob Scott White Heglund, Panukorn Taleongpong, Simon Hu, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 22
Train delay prediction in Tunisian railway through LightGBM model
Hassiba Laifa, Raoudha Khcherif, Henda Hajjami Ben Ghezalaa
Procedia Computer Science (2021) Vol. 192, pp. 981-990
Open Access | Times Cited: 18
Cascading Delays for the High-Speed Rail Network Under Different Emergencies: A Double Layer Network Approach
Xingtang Wu, Mingkun Yang, Wenbo Lian, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 10, Iss. 10, pp. 2014-2025
Closed Access | Times Cited: 12
Analyzing factors contributing to real-time train arrival delays using seemingly unrelated regression models
Kah Yong Tiong, Zhenliang Ma, Carl-William Palmqvist
Transportation Research Part A Policy and Practice (2023) Vol. 174, pp. 103751-103751
Open Access | Times Cited: 7
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
Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios
Xuelin Tian, Chen Lu, Ziyang Song, et al.
Sustainable Cities and Society (2024) Vol. 113, pp. 105660-105660
Open Access | Times Cited: 2

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