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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:

Machine learning for reliability engineering and safety applications: Review of current status and future opportunities
Zhaoyi Xu, Joseph H. Saleh
Reliability Engineering & System Safety (2021) Vol. 211, pp. 107530-107530
Open Access | Times Cited: 319

Showing 1-25 of 319 citing articles:

Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 377
Machine learning-based methods in structural reliability analysis: A review
Sajad Saraygord Afshari, Fatemeh Enayatollahi, Xiangyang Xu, et al.
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108223-108223
Closed Access | Times Cited: 240
Support vector machine in structural reliability analysis: A review
Atin Roy, Subrata Chakraborty
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109126-109126
Open Access | Times Cited: 217
Prognostics and health management: A review from the perspectives of design, development and decision
Yang Hu, Xuewen Miao, Yong Si, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 108063-108063
Closed Access | Times Cited: 191
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
Yanwen Xu, Sara Kohtz, Jessica Boakye, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108900-108900
Open Access | Times Cited: 181
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
Lu Liu, Xiao Song, Zhetao Zhou
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108330-108330
Closed Access | Times Cited: 158
An AIS-based deep learning framework for regional ship behavior prediction
Brian C. Murray, Lokukaluge P. Perera
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107819-107819
Open Access | Times Cited: 127
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
Yifei Ding, Minping Jia, Jichao Zhuang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108890-108890
Closed Access | Times Cited: 125
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
Chuanjiang Li, Shaobo Li, Huan Wang, et al.
Knowledge-Based Systems (2023) Vol. 264, pp. 110345-110345
Open Access | Times Cited: 108
Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1252-1252
Open Access | Times Cited: 90
A systematic review of data-driven approaches to fault diagnosis and early warning
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3277-3304
Closed Access | Times Cited: 87
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Qing Ni, Jinchen Ji, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109753-109753
Closed Access | Times Cited: 85
Variational encoding approach for interpretable assessment of remaining useful life estimation
Nahuel Costa, Luciano Sánchez
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108353-108353
Open Access | Times Cited: 79
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109036-109036
Closed Access | Times Cited: 75
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems
Ramin Moradi, Sergio Cofre-Martel, Enrique López Droguett, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108433-108433
Closed Access | Times Cited: 68
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models
Yuanfu Li, Yao Chen, Zhenchao Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108869-108869
Closed Access | Times Cited: 68
Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data
Minglei Zheng, Junfeng Man, Dian Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109235-109235
Closed Access | Times Cited: 40
Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network
Yuheng Tang, Chaoyong Zhang, Jianzhao Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 19
Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 80-103
Open Access | Times Cited: 16
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15
Future of process safety: insights, approaches, and potential developments
Hossein Abedsoltan, Amirhesam Abedsoltan, Zeinab Zoghi
Process Safety and Environmental Protection (2024) Vol. 185, pp. 684-707
Open Access | Times Cited: 14
Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
Keng-Yu Lin, Kuei‐Hu Chang, Yu‐Wen Lin, et al.
Systems (2025) Vol. 13, Iss. 1, pp. 25-25
Open Access | Times Cited: 1
Advancing occupational and system safety in Industry 5.0: Effective HAZID, risk analysis frameworks, and human-AI interaction management
Kamran Gholamizadeh, Esmaeil Zarei, Luca Gualtieri, et al.
Safety Science (2025) Vol. 184, pp. 106770-106770
Closed Access | Times Cited: 1
Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning
J. K. K. Tang, Yao Zhi Huang, Dingli Liu, et al.
Systems (2025) Vol. 13, Iss. 1, pp. 31-31
Open Access | Times Cited: 1
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