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:

Multi-layer convolutional dictionary learning network for signal denoising and its application to explainable rolling bearing fault diagnosis
Yi Qin, Rui Yang, Biao He, et al.
ISA Transactions (2024) Vol. 147, pp. 55-70
Closed Access | Times Cited: 7

Showing 7 citing articles:

A meta-learning method based on meta-feature enhancement for bearing fault identification under few-sample conditions
Xianze Li, Guopeng Zhu, Aijun Hu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112370-112370
Closed Access

Memory-Augmented Prototypical Meta-Learning Method for Bearing Fault Identification under Few-Sample Conditions
Xianze Li, Zhitai Xing, Ling Xiang, et al.
Neurocomputing (2025), pp. 129996-129996
Closed Access

Research on rolling bearing fault diagnosis technology based on singular value decomposition
Jingfang Ji, Jingmin Ge
AIP Advances (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 2

An Overview of Image Denoising and an Optimization Model Are Presented
阿松 张
Journal of Image and Signal Processing (2024) Vol. 13, Iss. 02, pp. 138-150
Closed Access | Times Cited: 1

Multimodal fusion fault diagnosis method under noise interference
Zhi Qiu, Shanfei Fan, Haibo Liang, et al.
Applied Acoustics (2024) Vol. 228, pp. 110301-110301
Closed Access | Times Cited: 1

Weak fault feature extraction method of rolling bearing based on wavelet packet decomposition and optimized MCKD
Yao Jinbao, Bing Wang, B. Yue, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 12
Closed Access

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