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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 combined deep learning model for damage size estimation of rolling bearing
Xiyang Liu, Guo Chen, Tengfei Hao, et al.
International Journal of Engine Research (2022) Vol. 24, Iss. 4, pp. 1362-1373
Closed Access | Times Cited: 9

Showing 9 citing articles:

Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study
Lei Hou, Haiming Yi, Yuhong Jin, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 46
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation
Haiming Yi, Lei Hou, Yuhong Jin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111481-111481
Open Access | Times Cited: 10
ISONet: Reforming 1DCNN for aero-engine system inter-shaft bearing fault diagnosis via input spatial over-parameterization
Qian Xiang, Xiaodan Wang, Yafei Song, et al.
Expert Systems with Applications (2025), pp. 127248-127248
Closed Access
Experimental Investigation of the Influence of Various Wear Parameters on the Tribological Characteristics of AZ91 Hybrid Composites and their Machine Learning Modelling
Dhanunjay Kumar Ammisetti, S. S. Harish Kruthiventi
Journal of Tribology (2024) Vol. 146, Iss. 5
Closed Access | Times Cited: 3
Novel friction stabilization technology for surface damage conditions using machine learning
Motoyuki Murashima, Takazumi Yamada, Noritsugu Umehara, et al.
Tribology International (2023) Vol. 180, pp. 108280-108280
Closed Access | Times Cited: 9
A Siamese CNN-BiLSTM-based method for unbalance few-shot fault diagnosis of rolling bearings
Xiyang Liu, Guo Chen, Hao Wang, et al.
Measurement and Control (2023)
Open Access | Times Cited: 8
A generalized fault diagnosis framework for rotating machinery based on phase entropy
Zhenya Wang, Meng Zhang, Hui Chen, et al.
Reliability Engineering & System Safety (2024), pp. 110745-110745
Closed Access | Times Cited: 1
A rolling bearing fault evolution state indicator based on deep learning and its application
Xiyang Liu, Guo Chen, Xunkai Wei, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 6, pp. 2755-2769
Closed Access | Times Cited: 3
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
Haiming Yi, Lei Hou, Yuhong Jin, et al.
arXiv (Cornell University) (2023)
Open Access
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