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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:

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

Showing 1-25 of 54 citing articles:

Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 80-103
Open Access | Times Cited: 16
Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance
G Bianchi, C. Fanelli, Francesco Freddi, et al.
Advances in Mechanical Engineering (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
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
Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications
Nikola Bešinović, Lorenzo De Donato, Francesco Flammini, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 14011-14024
Open Access | Times Cited: 67
A review of artificial intelligence applications in high-speed railway systems
Xuehan Li, Minghao Zhu, Boyang Zhang, et al.
High-speed Railway (2024) Vol. 2, Iss. 1, pp. 11-16
Open Access | Times Cited: 8
Defect classification based on deep features for railway tracks in sustainable transportation
İlhan Aydın, Erhan Akın, Mehmet Karaköse
Applied Soft Computing (2021) Vol. 111, pp. 107706-107706
Closed Access | Times Cited: 52
Prediction of track geometry degradation using artificial neural network: a case study
Hamid Khajehei, Alireza Ahmadi, Iman Soleimanmeigouni, et al.
International Journal of Rail Transportation (2021) Vol. 10, Iss. 1, pp. 24-43
Open Access | Times Cited: 48
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
Deep Learning for Time Series Forecasting: Review and Applications in Geotechnics and Geosciences
Farid Fazel Mojtahedi, Negin Yousefpour, Shiao Huey Chow, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Prediction Models for Railway Track Geometry Degradation Using Machine Learning Methods: A Review
Yingying Liao, Lei Han, Haoyu Wang, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7275-7275
Open Access | Times Cited: 26
A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance
Lorenzo De Donato, Francesco Flammini, Stefano Marrone, et al.
IEEE Access (2022) Vol. 10, pp. 65376-65400
Open Access | Times Cited: 23
Multimodal deep learning for point cloud panoptic segmentation of railway environments
Javier Grandío, B. Riveiro, Daniel Lamas, et al.
Automation in Construction (2023) Vol. 150, pp. 104854-104854
Open Access | Times Cited: 14
Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring
Afonso Lourenço, Carolina Ferraz, Diogo Ribeiro, et al.
Engineering Failure Analysis (2023) Vol. 152, pp. 107433-107433
Open Access | Times Cited: 14
Optimizing soil settlement/consolidation prediction in finland clays: machine learning regressions with bayesian hyperparameter selection
Ahmad Alkhdour, Mahmoud Al Khazaleh, Rakan Al Mnaseer, et al.
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3209-3225
Closed Access | Times Cited: 13
Implementation of an AI-based predictive structural health monitoring strategy for bonded insulated rail joints using digital twins under varied bolt conditions
Richard Hodges, Francesco Freddi, Felice Giuliani, et al.
Railway Engineering Science (2025)
Open Access
Deep learning techniques to detect rail indications from ultrasonic data for automated rail monitoring and maintenance
Md. Ashraful Islam, Georg Olm
Ultrasonics (2024) Vol. 140, pp. 107314-107314
Open Access | Times Cited: 3
On-board monitoring for smart assessment of railway infrastructure: A systematic review
Cyprien Hoelzl, Vasilis Dertimanis, Matthias Landgraf, et al.
Elsevier eBooks (2022), pp. 223-259
Closed Access | Times Cited: 18
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
Developing data-driven O&M policy through sequential pattern mining: A case study
Rinaldo Conceição Paiva, Yan R Melo, Cristiano Alexandre Virgínio Cavalcante, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110318-110318
Closed Access | Times Cited: 3
Dynamic Sustainable Processes Simulation to Study Transport Object Efficiency
I. O. Bondarenko, Alessandro Severino, Isaac Oyeyemi Olayode, et al.
Infrastructures (2022) Vol. 7, Iss. 9, pp. 124-124
Open Access | Times Cited: 12
Review of Data Analytics for Condition Monitoring of Railway Track Geometry
Alfredo Peinado Gonzalo, Richard Horridge, Heather Steele, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 22737-22754
Closed Access | Times Cited: 12
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds
Cyprien Hoelzl, Giacomo Arcieri, Lucian Ancu, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2672-2672
Open Access | Times Cited: 7
Investigating the Potential of Data Science Methods for Sustainable Public Transport
Christine Keller, Felix Glück, Carl Friedrich Gerlach, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4211-4211
Open Access | Times Cited: 11
Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles
Wael Hassanieh, Abdallah Chehade, Alan Facchinetti, et al.
International Journal of Rail Transportation (2023) Vol. 12, Iss. 4, pp. 604-625
Open Access | Times Cited: 6
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