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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 deep reinforcement learning approach for rail renewal and maintenance planning
Reza Karami Mohammadi, Qing He
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108615-108615
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics
Juseong Lee, Mihaela Mitici
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108908-108908
Open Access | Times Cited: 111
Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 28
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
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
Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets
Ali Saleh, Manuel Chiachío, Juan Fernández, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109013-109013
Open Access | Times Cited: 37
Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects
Jessada Sresakoolchai, Sakdirat Kaewunruen
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
Pablo G. Morato, C.P. Andriotis, Konstantinos G. Papakonstantinou, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109144-109144
Open Access | Times Cited: 28
A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation
Yue Pan, Jianjun Qin, Limao Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 5, pp. 656-678
Closed Access | Times Cited: 28
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
Pegah Rokhforoz, Mina Montazeri, Olga Fink
Reliability Engineering & System Safety (2023) Vol. 232, pp. 109081-109081
Open Access | Times Cited: 23
A review of artificial intelligence applications in high-speed railway systems
Xuehan Li, Minghao Zhu, Boyang Zhang, et al.
High-speed Railway (2024) Vol. 2, Iss. 1, pp. 11-16
Open Access | Times Cited: 8
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 36
Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach
Iordanis Tseremoglou, Bruno F. Santos
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109582-109582
Open Access | Times Cited: 17
Multi-agent deep reinforcement learning based decision support model for resilient community post-hazard recovery
Sen Yang, Yi Zhang, Xinzheng Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109754-109754
Closed Access | Times Cited: 16
A system-centred predictive maintenance re-optimization method based on multi-agent deep reinforcement learning
Yanping Zhang, Baoping Cai, Chuntan Gao, et al.
Expert Systems with Applications (2025), pp. 127034-127034
Closed Access
Reinforcement learning based maintenance scheduling of flexible multi-machine manufacturing systems with varying interactive degradation
Jiangxi Chen, Xiaojun Zhou
Reliability Engineering & System Safety (2025), pp. 111018-111018
Closed Access
Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities
Wassamon Phusakulkajorn, Alfredo Núñez, Hongrui Wang, et al.
Intelligent Transportation Infrastructure (2023) Vol. 2
Open Access | Times Cited: 15
A railway accident prevention method based on reinforcement learning – Active preventive strategy by multi-modal data
Dongyang Yan, Keping Li, Qiaozhen Zhu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109136-109136
Closed Access | Times Cited: 14
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
A deep reinforcement learning approach for repair-based maintenance of multi-unit systems using proportional hazards model
Seyedvahid Najafi, Chi-Guhn Lee
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109179-109179
Closed Access | Times Cited: 13
Integration of functional resonance analysis method and reinforcement learning for updating and optimizing emergency procedures in variable environments
Xuan Liu, Huixing Meng, Xu An, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109655-109655
Closed Access | Times Cited: 13
Virtual point tracking method for online detection of relative wheel-rail displacement of railway vehicles
Haoqian Li, Yong Wang, Jing Zeng, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110087-110087
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
Reliability-based reinforcement learning driven maintenance policy optimization
Mehrab Tanhaeean, S.F. Ghaderi, Mohammad Sheikhalishahi, et al.
Structure and Infrastructure Engineering (2025), pp. 1-11
Closed Access
Optimizing Railway Track Tamping and Geometry Fine-Tuning Allocation Using a Neural Network-Based Solver
congyang xu, Huakun Sun, Siyuan Zhou, et al.
Automation in Construction (2025) Vol. 171, pp. 105958-105958
Closed Access
A State-Specific Joint Size, Maintenance, and Inventory Policy for a k-out-of-n Load-Sharing System Subject to Self-Announcing Failures
Shenyu Zhao, Yian Wei, Yao Cheng, et al.
Reliability Engineering & System Safety (2025), pp. 110855-110855
Closed Access
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