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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:

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

Showing 1-25 of 63 citing articles:

Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-96
Open Access | Times Cited: 456
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 165
A literature review of Artificial Intelligence applications in railway systems
Ruifan Tang, Lorenzo De Donato, Nikola Bešinović, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 140, pp. 103679-103679
Open Access | Times Cited: 144
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
Inspection of RCF rail defects – Review of NDT methods
Milica Mićić, Ljiljana Brajović, Luka Lazarević, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109568-109568
Open Access | Times Cited: 39
Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins
Mujib Olamide Adeagbo, Sumei Wang, Yi‐Qing Ni
Advanced Engineering Informatics (2024) Vol. 61, pp. 102450-102450
Open Access | Times Cited: 12
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
Estimation of crack width based on shape‐sensitive kernels and semantic segmentation
Jun Lee, Sung‐Ho Hwang, Il Choi, et al.
Structural Control and Health Monitoring (2019) Vol. 27, Iss. 4
Open Access | Times Cited: 57
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
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
Post-monitoring evolution: mathematical model for neutral temperature development in continuous welded rail
Petr Vnenk, Özgür Yurdakul, Bohumil Culek, et al.
International Journal of Rail Transportation (2025), pp. 1-22
Closed Access
BIM-focused incentive-driven adoption of information management technology in bridge construction
Xue Yan, Xiaohan Liao, Shuping Cheng, et al.
Automation in Construction (2025) Vol. 172, pp. 106052-106052
Closed Access
A multilevel track defects assessment framework based on vehicle body vibration
X.D. Chen, Yuanjie Tang, Rengkui Liu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Multi-objective optimization for preventive maintenance of offshore safety critical equipment integrating dynamic risk and maintenance cost
Yue Han, Xingwei Zhen, Yi Huang
Ocean Engineering (2022) Vol. 245, pp. 110557-110557
Closed Access | Times Cited: 23
Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities
Wassamon Phusakulkajorn, Alfredo Núñez, Hongrui Wang, et al.
Intelligent Transportation Infrastructure (2023) Vol. 2
Open Access | Times Cited: 14
Dynamic fleet maintenance management model applied to rolling stock
Adolfo Crespo del Castillo, José Antonio Marcos, Ajith Kumar Parlikad
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109607-109607
Open Access | Times Cited: 13
A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries
Hongrui Wang, Alfredo Núñez, Zhigang Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 10, pp. 4037-4051
Open Access | Times Cited: 41
Decomposition-based algorithms for the crew scheduling and routing problem in road restoration
Alfredo Moreno, Pedro Munari, Douglas Alem
Computers & Operations Research (2020) Vol. 119, pp. 104935-104935
Open Access | Times Cited: 34
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
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
The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance
Clyde Zhengdao Li, Zhenchao Guo, Dong Su, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7761-7761
Open Access | Times Cited: 17
A real-time data-driven framework for the identification of steady states of marine machinery
Christian Velasco-Gallego, Iraklis Lazakis
Applied Ocean Research (2022) Vol. 121, pp. 103052-103052
Open Access | Times Cited: 16
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
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