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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:

Deep reinforcement learning for cost-optimal condition-based maintenance policy of offshore wind turbine components
Jianda Cheng, Yan Liu, Wei Li, et al.
Ocean Engineering (2023) Vol. 283, pp. 115062-115062
Closed Access | Times Cited: 14

Showing 14 citing articles:

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
Health management review for fuel cells: Focus on action phase
Jian Zuo, Nadia Yousfi Steiner, Zhongliang Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 201, pp. 114613-114613
Open Access | Times Cited: 11
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: 7
Joint multi-objective optimization method for emergency maintenance and condition-based maintenance: Subsea control system as a case study
Yanping Zhang, Baoping Cai, Yixin Zhao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110307-110307
Closed Access | Times Cited: 5
Knowledge transfer for adaptive maintenance policy optimization in engineering fleets based on meta-reinforcement learning
Jianda Cheng, Minghui Cheng, Yan Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110127-110127
Closed Access | Times Cited: 4
Comparative Analysis of Offshore Wind Turbine Blade Maintenance: RL-based and Classical Strategies for Sustainable Approach
Andrie Pasca Hendradewa, Shen Yin
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110477-110477
Closed Access | Times Cited: 4
Model predictive control for risk-based inspection and maintenance planning of offshore wind turbines
Shuangbo Kong, Yan Liu
Ships and Offshore Structures (2025), pp. 1-12
Closed Access
Big Data Meets Big Wind: A Scientometric Review of Machine Learning Approaches in Offshore Wind Energy
Prangon Das, Maisha Mashiata, G. Iglesias
Energy and AI (2024) Vol. 18, pp. 100418-100418
Open Access | Times Cited: 3
Condition-based monitoring techniques and algorithms in 3d printing and additive manufacturing: a state-of-the-art review
Muhammad Mansoor Uz Zaman Siddiqui, Adeel Tabassum
Progress in Additive Manufacturing (2024)
Closed Access | Times Cited: 2
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
Reinforcement learning-based maintenance scheduling for a stochastic deteriorating fuel cell considering stack-to-stack heterogeneity
Jianping Zuo, Nadia Yousfi Steiner, Zhongliang Li, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110700-110700
Open Access | Times Cited: 1
Intermittent system utilization for an efficient maintenance planning of offshore wind turbine rotor blades
Panagiotis M. Psomas, Agapios Ν. Platis, Vasilis P. Koutras, et al.
Ocean Engineering (2024) Vol. 318, pp. 120181-120181
Closed Access | Times Cited: 1
Contractor-oriented optimization for wind farm maintenance decision-making considering partial monitoring information and degraded working efficiency
Yifei Wang, Rui He, Zhigang Tian, et al.
Ocean Engineering (2024) Vol. 313, pp. 119541-119541
Closed Access
Condition-based Maintenance for Multi-state Systems with Prognostic and Deep Reinforcement Learning
Huixian Zhang, Xiukun Wei, Zhi-Qiang Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110659-110659
Closed Access
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