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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 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

Showing 1-25 of 78 citing articles:

Toward cognitive predictive maintenance: A survey of graph-based approaches
Liqiao Xia, Pai Zheng, Xinyu Li, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 107-120
Closed Access | Times Cited: 100
Fault Detection for Point Machines: A Review, Challenges, and Perspectives
Xiaoxi Hu, Tao Tang, Lei Tan, et al.
Actuators (2023) Vol. 12, Iss. 10, pp. 391-391
Open Access | Times Cited: 43
End-to-end lifecycle machine learning framework for predictive maintenance of critical equipment
Jérémie Marchand, Jannik Laval, Aïcha Sekhari, et al.
Enterprise Information Systems (2025)
Closed Access | Times Cited: 1
A bibliometric analysis of railway safety research: thematic evolution, current status, and future research directions
Aliyu Mani Umar, Mohd Khairul Afzan Mohd Lazi, Sitti Asmah Hassan, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2025)
Open Access | Times Cited: 1
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
Anomaly detection of train wheels utilizing short-time Fourier transform and unsupervised learning algorithms
Ting Hei Wan, Chi Wai Tsang, King Hui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106037-106037
Closed Access | Times Cited: 24
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
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 16
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
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
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
Quality and capacity optimization in production: Preventive maintenance and fault analysis insights
Vimlesh Kumar Ojha, Sanjeev Goyal, Mahesh Chand
Elsevier eBooks (2025), pp. 117-128
Closed Access
Failure Prediction for Large Anti-drone System Clusters
Buket Kazma, Fatih Semiz
Smart innovation, systems and technologies (2025), pp. 25-35
Closed 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
The MetroPT dataset for predictive maintenance
Bruno Veloso, Rita P. Ribeiro, João Gama, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 23
Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine
Yongkui Sun, Yuan Cao, Peng Li, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 6, pp. 96-108
Closed Access | Times Cited: 14
Unlocking the Potential of Predictive Maintenance for Intelligent Manufacturing: a Case Study On Potentials, Barriers, and Critical Success Factors
Marcel Hoffmann, Rainer Lasch
Schmalenbach Journal of Business Research (2025)
Open Access
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Élisson da Silva Rocha, Monalisa Cristina Moura Dos Santos, et al.
IEEE Access (2023) Vol. 11, pp. 128288-128305
Open Access | Times Cited: 11
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings
Elia Landi, Filippo Spinelli, Matteo Intravaia, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2023)
Closed Access | Times Cited: 10
Data-Driven Predictive Maintenance
João Gama, Rita P. Ribeiro, Bruno Veloso
IEEE Intelligent Systems (2022) Vol. 37, Iss. 4, pp. 27-29
Closed Access | Times Cited: 15
Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings
Elia Landi, Andrea Prato, Ada Fort, et al.
Micromachines (2023) Vol. 14, Iss. 2, pp. 376-376
Open Access | Times Cited: 8
Enhancing Metro Rail Efficiency: A Predictive Maintenance Approach Leveraging Machine Learning and Deep Learning Technologies
Vishak Nair, M. Premalatha, R. Srinivasa Perumal, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
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
Sensor-Based Predictive Maintenance with Reduction of False Alarms—A Case Study in Heavy Industry
Marek Hermansa, Michał Kozielski, Marcin Michalak, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 226-226
Open Access | Times Cited: 14
A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems
Tijana Markovic, Miguel León, Björn Leander, et al.
IEEE Access (2023) Vol. 11, pp. 29744-29758
Open Access | Times Cited: 5
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