Open Access Helper

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 fault diagnosis method based on feature-level fusion of multi-sensor information for rotating machinery
Tianyu Gao, Jingli Yang, Baoqin Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036109-036109
Closed Access | Times Cited: 4

Showing 4 citing articles:

Particle accelerator power system early fault diagnosis based on deep learning and multi-sensor feature fusion
Zhou Ji-qing, Deming Li, Haijun Su
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025225-025225
Open Access | Times Cited: 4
Noise-robust multi-view graph neural network for fault diagnosis of rotating machinery
Chenyang Li, Lingfei Mo, Chee Keong Kwoh, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112025-112025
Closed Access | Times Cited: 2
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A domain generalization network for imbalanced machinery fault diagnosis
Yu Guo, Ju Gao, Jundong Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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