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 novel deep learning approach for intelligent bearing fault diagnosis under extremely small samples
Peixuan Ding, Yi Xu, Pan Qin, et al.
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5306-5316
Closed Access | Times Cited: 4

Showing 4 citing articles:

A WOA-SVMD and multi-scale CNN-transformer method for fault diagnosis of motor bearing
Zejiang Xu, Jili Tao, Y. Hu, et al.
Measurement and Control (2025)
Open Access
Unsupervised feature learning using locality-preserved auto-encoder with complexity-invariant distance for intelligent fault diagnosis of machinery
Zhenghua Lu, Zhaobi Chu, Zhu Min, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Rolling Bearing Fault Diagnosis Based on CEEMDAN and CNN-SVM
Lei Shi, Wenchao Liu, Dazhang You, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5847-5847
Open Access | Times Cited: 2
Combined ResNet Attention Multi-Head Net (CRAMNet): A Novel Approach to Fault Diagnosis of Rolling Bearings Using Acoustic Radiation Signals and Advanced Deep Learning Techniques
Xiaozheng Xu, Ying Li, Xuebao Ding
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8431-8431
Open Access | Times Cited: 1
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