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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:

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

Showing 26-50 of 278 citing articles:

Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects
Reza Karami Mohammadi, Qing He, Faeze Ghofrani, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 102, pp. 153-172
Closed Access | Times Cited: 69
Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database
Anne Parlina, Kalamullah Ramli, Hendri Murfi
Information (2020) Vol. 11, Iss. 2, pp. 69-69
Open Access | Times Cited: 65
A decision support approach for condition-based maintenance of rails based on big data analysis
Ali Ashraf Jamshidi, Siamak Hajizadeh, Zhou Su, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 95, pp. 185-206
Open Access | Times Cited: 63
The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey
Muhammad Chenariyan Nakhaee, Djoerd Hiemstra, Mariëlle Stoelinga, et al.
Lecture notes in computer science (2019), pp. 91-105
Open 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
Learning From Accidents: Machine Learning for Safety at Railway Stations
Hamad Alawad, Sakdirat Kaewunruen, Min An
IEEE Access (2019) Vol. 8, pp. 633-648
Open Access | Times Cited: 56
A Deep Learning Approach Towards Railway Safety Risk Assessment
Hamad Alawad, Sakdirat Kaewunruen, Min An
IEEE Access (2020) Vol. 8, pp. 102811-102832
Open Access | Times Cited: 54
Systematic Literature Review on Data-Driven Models for Predictive Maintenance of Railway Track: Implications in Geotechnical Engineering
Jiawei Xie, Jinsong Huang, Cheng Zeng, et al.
Geosciences (2020) Vol. 10, Iss. 11, pp. 425-425
Open Access | Times Cited: 54
Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, et al.
IEEE Access (2021) Vol. 9, pp. 153276-153304
Open Access | Times Cited: 42
Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Chenzhong Li, Qing He, Ping Wang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 10, pp. 1260-1276
Closed Access | Times Cited: 40
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
Application of social media in supply chain 4.0 practices: a bibliometric analysis and research trends
Thu-Hang Hoang, Nhi Pham Phuong Nguyen, Nhu-Y Ngoc Hoang, et al.
Operations Management Research (2023) Vol. 16, Iss. 3, pp. 1162-1184
Open Access | Times Cited: 19
Prediction of railroad track geometry change using a hybrid CNN-LSTM spatial-temporal model
Xin Wang, Yun Bai, Xiang Liu
Advanced Engineering Informatics (2023) Vol. 58, pp. 102235-102235
Closed Access | Times Cited: 16
Railway cold chain freight demand forecasting with graph neural networks: A novel GraphARMA-GRU model
Tao Peng, Mi Gan, Qichen Ou, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124693-124693
Closed Access | Times Cited: 7
Remote Sensing and Machine Learning for Safer Railways: A Review
Wesam Helmi, Raj Bridgelall, Taraneh Askarzadeh
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3573-3573
Open Access | Times Cited: 6
Big data applications: overview, challenges and future
Afzal Badshah, Ali Daud, Riad Alharbey, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 6
A data-driven prioritisation framework to mitigate maintenance impact on passengers during metro line operation
Alice Consilvio, Giulia Vignola, Paula López Arévalo, et al.
European Transport Research Review (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model
Junxi Zhang, Shiru Qu, Yang Bi, et al.
Automatika (2025) Vol. 66, Iss. 2, pp. 237-248
Open Access
Big data applications in intelligent transport systems: a bibliometric analysis and review
Mahbub Hassan, Hridoy Deb Mahin, Abdullah Al Nafees, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Automated vision inspection of rail surface cracks: A double-layer data-driven framework
Zhuang Li, Long Wang, Zijun Zhang, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 92, pp. 258-277
Closed Access | Times Cited: 54
Wireless Sensor Networks: Toward Smarter Railway Stations
Hamad Alawad, Sakdirat Kaewunruen
Infrastructures (2018) Vol. 3, Iss. 3, pp. 24-24
Open Access | Times Cited: 49
An ensemble machine learning‐based modeling framework for analysis of traffic crash frequency
Xiang Zhang, S. Travis Waller, Peng Jiang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 3, pp. 258-276
Closed Access | Times Cited: 46
Requirements for Big Data Adoption for Railway Asset Management
Paul E. McMahon, Tieling Zhang, Richard Dwight
IEEE Access (2020) Vol. 8, pp. 15543-15564
Open Access | Times Cited: 40
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

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