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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 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

Showing 1-25 of 111 citing articles:

A prognostic driven predictive maintenance framework based on Bayesian deep learning
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
Mihaela Mitici, Ingeborg de Pater, Anne Barros, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109199-109199
Open Access | Times Cited: 57
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
You Keshun, Guangqi Qiu, Yingkui Gu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109793-109793
Closed Access | Times Cited: 45
Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements
Pushpita Chatterjee, Debashis Das, Danda B. Rawat
Future Generation Computer Systems (2024) Vol. 158, pp. 410-426
Closed Access | Times Cited: 26
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model
Liuyang Song, Ye Jin, Tianjiao Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 20
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: 20
Dynamic predictive maintenance strategy for system remaining useful life prediction via deep learning ensemble method
Lubing Wang, Zhengbo Zhu, Xufeng Zhao
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110012-110012
Closed Access | Times Cited: 18
Uncertainty-corrected fractional generalized Pareto motion for lithium-ion battery life prediction and value-at-risk-based maintenance framework
Zhen Wang, Jianxue Chen, Yan Gao, et al.
Nonlinear Dynamics (2025)
Closed Access | Times Cited: 1
Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics
Guanglin Liang, Linchong Huang, Chengyong Cao
Mathematics (2025) Vol. 13, Iss. 2, pp. 264-264
Open Access | Times Cited: 1
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
A hybrid CNN-LSTM model for joint optimization of production and imperfect predictive maintenance planning
Hassan Dehghan Shoorkand, Mustapha Nourelfath, Adnène Hajji
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109707-109707
Closed Access | Times Cited: 39
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
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
You Keshun, Guangqi Qiu, Yingkui Gu
IEEE Sensors Journal (2023) Vol. 24, Iss. 14, pp. 21893-21905
Closed Access | Times Cited: 29
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Feifan Xiang, Yiming Zhang, Shuyou Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121859-121859
Closed Access | Times Cited: 29
Predictive Maintenance Scheduling for Aircraft Engines Based on Remaining Useful Life Prediction
Lubing Wang, Ying Chen, Xufeng Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23020-23031
Closed Access | Times Cited: 13
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
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
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
Antonios Kamariotis, Konstantinos Tatsis, Eleni Chatzi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109723-109723
Open Access | Times Cited: 19
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
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: 16
Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions
Fadhila Tlili, Samiha Ayed, Lamia Chaari Fourati
Internet of Things (2024) Vol. 27, pp. 101281-101281
Closed Access | Times Cited: 7
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
A hybrid deep learning approach to integrate predictive maintenance and production planning for multi-state systems
Hassan Dehghan Shoorkand, Mustapha Nourelfath, Adnène Hajji
Journal of Manufacturing Systems (2024) Vol. 74, pp. 397-410
Open Access | Times Cited: 5
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