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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:

Dynamics simulation-driven fault diagnosis of rolling bearings using security transfer support matrix machine
Xin Li, Shuhua Li, Dong Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109882-109882
Closed Access | Times Cited: 10

Showing 10 citing articles:

Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
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
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 9
Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems
Lei Gao, Qinhe Gao, Zhihao Liu, et al.
Reliability Engineering & System Safety (2025), pp. 111017-111017
Closed Access
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access
An Improved Industrial Fault Diagnosis Model by Integrating Enhanced Variational Mode Decomposition with Sparse Process Monitoring Method
Jiaxin Zhang, Gade Pandu Rangaiah, Lichun Dong, et al.
Reliability Engineering & System Safety (2024), pp. 110492-110492
Closed Access | Times Cited: 2
A Semi-Supervised Adaptive Matrix Machine Approach for Fault Diagnosis in Railway Switch Machine
Wenqing Li, Zhongwei Xu, Meng Mei, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4402-4402
Open Access | Times Cited: 1
A Single-layer dense convolutional reversible residual network for bearing fault diagnosis based on differential local adaptive
Wei Sun, Kexin Chen, Yue Zhao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016210-016210
Closed Access
Unsupervised graph transfer network with hybrid attention mechanisms for fault diagnosis under variable operating conditions
Zihao Lei, Feiyu Tian, Yu Su, et al.
Reliability Engineering & System Safety (2024), pp. 110684-110684
Closed Access
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