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 of Predictive Maintenance: Systems, Purposes and Approaches
Yongyi Ran, Xin Zhou, Pengfeng Lin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107864-107864
Open Access | Times Cited: 296

Multivariate stacked bidirectional long short term memory for lithium-ion battery health management
Reza Rouhi Ardeshiri, Ming Liu, Chengbin Ma
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108481-108481
Closed Access | Times Cited: 68

Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
Foivos Psarommatis, Gökan May, Victor Azamfirei
Journal of Manufacturing Systems (2023) Vol. 68, pp. 376-399
Open Access | Times Cited: 53

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
IEEE Access (2021) Vol. 9, pp. 110255-110286
Open Access | Times Cited: 77

Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Luca Biggio, Iason Kastanis
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 69

Multi-Sensor Fault Detection, Identification, Isolation and Health Forecasting for Autonomous Vehicles
Saeid Safavi, Mohammad Amin Safavi, Hossein Hamid, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2547-2547
Open Access | Times Cited: 60

Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning
Simon Zhai, Benedikt Gehring, Günther Reinhart
Journal of Manufacturing Systems (2021) Vol. 61, pp. 830-855
Open Access | Times Cited: 59

Review of predictive maintenance algorithms applied to HVAC systems
Niima Es-sakali, Moha Cherkaoui, Mohamed Oualid Mghazli, et al.
Energy Reports (2022) Vol. 8, pp. 1003-1012
Open Access | Times Cited: 59

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
Sylwia Werbińska-Wojciechowska, Klaudia Winiarska
Sensors (2023) Vol. 23, Iss. 3, pp. 1409-1409
Open Access | Times Cited: 32

A predictive maintenance model using Long Short-Term Memory Neural Networks and Bayesian inference
D. Pagano
Decision Analytics Journal (2023) Vol. 6, pp. 100174-100174
Open Access | Times Cited: 23

Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12

INTEGRATING ADVANCED TECHNOLOGIES FOR ENHANCED HSE MANAGEMENT IN THE FMCG SECTOR
Ayodeji Abatan, Nwankwo Constance Obiuto, Nwakamma Ninduwezuor-Ehiobu, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 4, pp. 1270-1280
Open Access | Times Cited: 8

State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Advanced Engineering Informatics (2024) Vol. 62, pp. 102800-102800
Open Access | Times Cited: 8

Edge Intelligence for Data Handling and Predictive Maintenance in IIOT
Taimur Hafeez, Lina Xu, Gavin McArdle
IEEE Access (2021) Vol. 9, pp. 49355-49371
Open Access | Times Cited: 53

Deep-Reinforcement-Learning-Based Predictive Maintenance Model for Effective Resource Management in Industrial IoT
Kevin Shen Hoong Ong, Wenbo Wang, Dusit Niyato, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 7, pp. 5173-5188
Closed Access | Times Cited: 45

The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He, J. M. N. T. Gray, Angelo Cangelosi, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 4, pp. 1398-1412
Open Access | Times Cited: 41

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: 15

Wind turbine fault detection and identification using a two-tier machine learning framework
Zaid Allal, Hassan Noura, Flavien Vernier, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200372-200372
Open Access | Times Cited: 5

The Impact of Predictive Maintenance on the Performance of Industrial Enterprises
Mohamed Er-Ratby, Abdessamad Kobi, Youssef Sadraoui, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access

Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods
M. Ndao, Genane Youness, Ndèye Niang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110144-110144
Open Access

Evaluating time series encoding techniques for Predictive Maintenance
Aniello De Santo, Antonino Ferraro, Antonio Galli, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118435-118435
Closed Access | Times Cited: 26

Review of the measurement of Dynamic Capabilities
Pablo Martínez de Miguel, Antón García, José Luis Montes Botella
ESIC MARKET Economic and Business Journal (2022) Vol. 53, Iss. 1, pp. e283-e283
Open Access | Times Cited: 23

A digital twin framework for prognostics and health management
Maxwell Toothman, Birgit Braun, Scott J. Bury, et al.
Computers in Industry (2023) Vol. 150, pp. 103948-103948
Closed Access | Times Cited: 14

Multiple Instance Learning With Random Forest for Event Logs Analysis and Predictive Maintenance in Ship Electric Propulsion System
Azzeddine Bakdi, Nicolay Bjorlo Kristensen, Morten Stakkeland
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 11, pp. 7718-7728
Open Access | Times Cited: 21

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