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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:

Data-driven predictive maintenance scheduling policies for railways
Pedro Cesar Lopes Gerum, Ayça Altay, Melike Baykal‐Gürsoy
Transportation Research Part C Emerging Technologies (2019) Vol. 107, pp. 137-154
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
Tomáš Klieštik, Elvira Nica, Pavol Ďurana, et al.
Oeconomia Copernicana (2023) Vol. 14, Iss. 4, pp. 1097-1138
Open Access | Times Cited: 78
Operational resilience modeling of cross-border freight railway systems: A study of strategies to improve proactive and reactive capabilities
Haiwen Li, Lin Qi, Mudan Wang, et al.
Reliability Engineering & System Safety (2025), pp. 110856-110856
Closed Access | Times Cited: 1
Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Jonas Fausing Olesen, Hamid Reza Shaker
Sensors (2020) Vol. 20, Iss. 8, pp. 2425-2425
Open Access | Times Cited: 79
A Survey on Data-Driven Predictive Maintenance for the Railway Industry
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5739-5739
Open Access | Times Cited: 78
A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance
Chuang Chen, Ningyun Lu, Bin Jiang, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 2, pp. 412-422
Closed Access | Times Cited: 76
A taxonomy of railway track maintenance planning and scheduling: A review and research trends
Mahdieh Sedghi, Osmo Kauppila, Bjarne Bergquist, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107827-107827
Open Access | Times Cited: 70
Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects
Jessada Sresakoolchai, Sakdirat Kaewunruen
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
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
Predictive Maintenance for Railway Domain: A Systematic Literature Review
Mario Binder, Vitaliy Mezhuyev, Martin Tschandl
IEEE Engineering Management Review (2023) Vol. 51, Iss. 2, pp. 120-140
Open Access | Times Cited: 19
Modern Tendencies in Vehicle-Based Condition Monitoring of the Railway Track
Héctor A. Fernández-Bobadilla, Ullrich Martin
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-44
Closed Access | Times Cited: 16
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
Integrating models of civil structures in digital twins: State-of-the-Art and challenges
Judith Michael, Jörg Blankenbach, Jan Derksen, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 3, pp. 100100-100100
Open Access | Times Cited: 4
DiffUT: Diffusion-based Augmentation for Limited Ultrasonic Testing Defects in High-Speed Rail
Qian Zhang, Kang Tian, Lin Luo, et al.
NDT & E International (2025), pp. 103388-103388
Closed Access
Predictive Maintenance - Bridging Artificial Intelligence and IoT
Gerasimos G. Samatas, Seraphim S. Moumgiakmas, George A. Papakostas
2022 IEEE World AI IoT Congress (AIIoT) (2021)
Open Access | Times Cited: 31
Optimizing maintenance of vertical curves in high-speed railways
Yuxiao Zhang, Shi Jin, Shehui Tan, et al.
Automation in Construction (2023) Vol. 152, pp. 104947-104947
Closed Access | Times Cited: 11
A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies
M. N. Mikhail, Mohamed‐Salah Ouali, Soumaya Yacout
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109668-109668
Closed Access | Times Cited: 11
Innovative Approaches in Railway Management: Leveraging Big Data and Artificial Intelligence for Predictive Maintenance of Track Geometry

Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 4
Open Access | Times Cited: 3
A Rolling-Horizon Approach for Predictive Maintenance Planning to Reduce the Risk of Rail Service Disruptions
Alice Consilvio, Angela Di Febbraro, Nicola Sacco
IEEE Transactions on Reliability (2020) Vol. 70, Iss. 3, pp. 875-886
Closed Access | Times Cited: 31
A data‐driven maintenance policy for railway wheelset based on survival analysis and Markov decision process
Mariana de Almeida Costa, Joaquim A.P. Braga, António R. Andrade
Quality and Reliability Engineering International (2020) Vol. 37, Iss. 1, pp. 176-198
Closed Access | Times Cited: 27
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2021), pp. 1-10
Closed Access | Times Cited: 26
Multivariate statistical aggregation and dimensionality reduction techniques to improve monitoring and maintenance in railways: The wheelset component
Joaquim A.P. Braga, António R. Andrade
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107932-107932
Closed Access | Times Cited: 24
Data‐driven maintenance planning and scheduling based on predicted railway track condition
Mahdieh Sedghi, Bjarne Bergquist, Erik Vanhatalo, et al.
Quality and Reliability Engineering International (2022) Vol. 38, Iss. 7, pp. 3689-3709
Open Access | Times Cited: 16
Stochastic analysis for estimating track geometry degradation rates based on GPR and LiDAR data
Saeed Goodarzi, Hamed Faghihi Kashani, Anahita Saeedi, et al.
Construction and Building Materials (2023) Vol. 369, pp. 130591-130591
Closed Access | Times Cited: 10
Segment‐condition‐based railway track maintenance schedule optimization
Yanyan Chang, Rengkui Liu, Yuanjie Tang
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 160-193
Closed Access | Times Cited: 15
Markovian Restless Bandits and Index Policies: A Review
José Niño‐Mora
Mathematics (2023) Vol. 11, Iss. 7, pp. 1639-1639
Open Access | Times Cited: 8
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