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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 and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization
Oluwaseyi Ogunfowora, Homayoun Najjaran
Journal of Manufacturing Systems (2023) Vol. 70, pp. 244-263
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system
Yulu Zhou, Shichang Du, Molin Liu, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 143-158
Closed Access | Times Cited: 59
Condition-based maintenance via Markov decision processes: A review
Xiujie Zhao, Piao Chen, Loon Ching Tang
Frontiers of Engineering Management (2025)
Closed Access | Times Cited: 1
A deep reinforcement learning-driven multi-objective optimization and its applications on aero-engine maintenance strategy
Zeqi Wei, Zhibin Zhao, Zheng Zhou, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 316-328
Closed Access | Times Cited: 9
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: 6
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Adaptive process parameters decision-making in robotic grinding based on meta-reinforcement learning
Jie Pan, Fan Chen, Dan Han, et al.
Journal of Manufacturing Processes (2025) Vol. 137, pp. 376-396
Closed Access
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
Categorized Attention Based Hierarchical-agents Reinforcement Learning for Multi-objective Dynamic Job Shop Scheduling Problem With Machine Deterioration
Yibing Li, X. Liang, Jun Guo, et al.
Applied Soft Computing (2025), pp. 113032-113032
Closed Access
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: 4
Deep reinforcement learning-based resilience optimization for infrastructure networks restoration with multiple crews
Qiang Feng, Qilong Wu, Xingshuo Hai, et al.
Frontiers of Engineering Management (2025)
Closed Access
Deep Learning-Driven Intelligent Manufacturing System Modelling and Optimal Scheduling Strategy Research
Jye‐Chyi Lu, Engao Peng
Smart innovation, systems and technologies (2025), pp. 247-257
Closed Access
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding
Jaehoon Chung, Jamil Fayyad, Younes Al Younes, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 3
Enhancing reliability of failure modes and effects analysis dealing with linguistic distribution assessments: A consistency based approach
Xiang Jia, Ying-Ming Wang, Luis Martı́nez
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108333-108333
Closed Access | Times Cited: 3
A data‐driven Bayesian approach for optimal dynamic product transitions
Antonio Flores‐Tlacuahuac, Luis Fabián Fuentes‐Cortés
AIChE Journal (2024) Vol. 70, Iss. 6
Open Access | Times Cited: 2
A self-adaptive agent for flexible posture planning in robotic milling system
Shengqiang Zhao, Fangyu Peng, Juntong Su, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 228-245
Closed Access | Times Cited: 2
A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
Funing Li, Sebastian Lang, Yuan Tian, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 2
State-Space Compression for Efficient Policy Learning in Crude Oil Scheduling
Nan Ma, Hongqi Li, Hualin Liu
Mathematics (2024) Vol. 12, Iss. 3, pp. 393-393
Open Access | Times Cited: 1
Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
Tyler Ward, Kouroush Jenab, Jorge Ortega-Moody, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1
Promoting Synergies to Improve Manufacturing Efficiency in Industrial Material Processing: A Systematic Review of Industry 4.0 and AI
Md. Sazol Ahmmed, Sriram Praneeth Isanaka, Frank Liou
Machines (2024) Vol. 12, Iss. 10, pp. 681-681
Open Access | Times Cited: 1
Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends
Panagiotis D. Paraschos, D.E. Koulouriotis
Computers & Industrial Engineering (2024), pp. 110656-110656
Closed Access | Times Cited: 1
Dynamic production scheduling and maintenance planning under opportunistic grouping
Nada Ouahabi, Ahmed Chebak, Oulaïd Kamach, et al.
Computers & Industrial Engineering (2024), pp. 110646-110646
Closed Access | Times Cited: 1
Windows deep transformer Q-networks: an extended variance reduction architecture for partially observable reinforcement learning
Zijian Wang, Bin Wang, Hongbo Dou, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 1
State-of-the-art review on various applications of machine learning techniques in materials science and engineering
Bing Yu, Lai‐Chang Zhang, Xiaoxia Ye, et al.
Chemical Engineering Science (2024), pp. 121147-121147
Closed Access | Times Cited: 1
Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
Hassana Mahfoud, Oussama Moutaoukil, Mohammed Toum Benchekroun, et al.
Lecture notes in networks and systems (2024), pp. 18-34
Closed Access
A Hybrid Deep Learning Framework for Predicting Industrial Wastewater Influent Quality Based on Graph Optimization
Jiafei Cao, Anke Xue, Yong Yang, et al.
(2024)
Closed Access
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