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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:

Reinforcement learning for predictive maintenance: a systematic technical review
Rajesh Siraskar, Satish Kumar, Shruti Patil, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12885-12947
Closed Access | Times Cited: 30

Showing 1-25 of 30 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: 88
Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project management
Odey Alshboul, Rabia Emhamed Al Mamlook, Ali Shehadeh, et al.
Computers & Industrial Engineering (2024) Vol. 190, pp. 110046-110046
Closed Access | Times Cited: 32
Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study
Aitzaz Ahmed Murtaza, Amina Saher, Muhammad Hamza Zafar, et al.
Results in Engineering (2024), pp. 102935-102935
Open Access | Times Cited: 23
Continual learning for predictive maintenance: Overview and challenges
Julio Hurtado, Dario Salvati, Rudy Semola, et al.
Intelligent Systems with Applications (2023) Vol. 19, pp. 200251-200251
Open Access | Times Cited: 35
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
Reinforcement Learning in Reliability and Maintenance Optimization: A Tutorial
Qin Zhang, Yu Liu, Yisha Xiang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110401-110401
Closed Access | Times Cited: 10
Deep reinforcement learning for intelligent risk optimization of buildings under hazard
Ghazanfar Ali Anwar, Xiaoge Zhang
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110118-110118
Closed Access | Times Cited: 9
Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance
Ali H. Hakami
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Reliable Prediction of Remaining Useful Life for Aircraft Engines: An LSTM-Based Approach With Conservative Loss Function
Anees Peringal, Mohammed B. Mohiuddin, Abdel Gafoor Haddad, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access | Times Cited: 1
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin
Md Muzakkir Quamar, Ali Nasir
(2024)
Open Access | Times Cited: 6
Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning
K. Devarajan, T. Mohanraj, Pavan Pradeep, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 4, pp. 42-42
Open Access | Times Cited: 6
Towards the application of machine learning in digital twin technology: a multi-scale review
Luigi Nele, Giulio Mattera, Emily W. Yap, et al.
Deleted Journal (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 5
Sentiment Analysis in Social Media Marketing: Leveraging Natural Language Processing for Customer Insights
Kamred Udham Singh, Ankit Kumar, Gaurav Kumar, et al.
Lecture notes in networks and systems (2024), pp. 457-467
Closed Access | Times Cited: 4
Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review
Kamal Hassan, Amit Kumar Thakur, Gurraj Singh, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
An empirical study of the naïve REINFORCE algorithm for predictive maintenance
Rajesh Siraskar, Satish Kumar, Shruti Patil, et al.
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access
Kernel Reinforcement Learning for sampling-efficient risk management of large-scale engineering systems
Dingyang Zhang, Yiming Zhang, Pei Li, et al.
Reliability Engineering & System Safety (2025), pp. 111022-111022
Closed Access
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
Trustworthy 6G-Powered Industrial IoT for Resilient Intelligent Manufacturing
Jialin Tian, Hyeongyu Min, Jia Hu, et al.
IEEE Wireless Communications (2025) Vol. 32, Iss. 2, pp. 60-66
Closed Access
Virtual Metrology and Predictive Maintenance: Emerging Technologies and Approaches
K. S. Nagla
MAPAN (2025)
Closed Access
Maintenance 4.0 Technologies for Sustainable Manufacturing
Małgorzata Jasiulewicz–Kaczmarek
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7360-7360
Open Access | Times Cited: 2
A learning-based memetic algorithm for energy-efficient distributed flow-shop scheduling with preventive maintenance
Jingjing Wang, Honggui Han
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101772-101772
Closed Access | Times Cited: 2
A Novel Deep Reinforcement Learning (DRL) Algorithm to Apply Artificial Intelligence-Based Maintenance in Electrolysers
Abiodun Abiola, Francisca Segura, José Manuel Andújar
Algorithms (2023) Vol. 16, Iss. 12, pp. 541-541
Open Access | Times Cited: 4
Drift Detection in Legacy Systems Using Machine Learning Techniques
Swapnil Hadge, Govind Sreekar Shenoy
(2024), pp. 1-6
Closed Access | Times Cited: 1
Research on Obstacle Avoidance Planning for UUV Based on A3C Algorithm
Hongjian Wang, Wei Gao, Zhao Wang, et al.
Journal of Marine Science and Engineering (2023) Vol. 12, Iss. 1, pp. 63-63
Open Access | Times Cited: 2
Video Analysis Using Deep Learning in Smart Gadget for Women Saftey
Watt Michelle, M. Z. Mohamed Ashik, N. Achyut, et al.
Lecture notes in networks and systems (2024), pp. 165-174
Closed Access
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