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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:

Fault Diagnosis of Bearings and Gears Based on LiteNet With Feature Aggregation
Qiankun Li, Xin Ma, Mingliang Cui, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 10

Showing 10 citing articles:

Non-destructive evaluation of weld defect with coating using electromagnetic induction thermography
Si-Ying Tang, Xiaorong Gao, Kang Tian, et al.
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 2, pp. 347-365
Closed Access | Times Cited: 13
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis
Zhuang Ye, Yue Shang, Pu Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Fault Diagnosis of Gearbox Based on Cross-domain Transfer Learning with Fine-tuning Mechanism Using Unbalanced Samples
Qiang Sun, Yaping Zhang, L.W. Chu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2
Interpretable Motor Sound Classification for Enhanced Fault Detection Leveraging Explainable AI
Shaiq Ahmad Khan, Faiq Ahmad Khan, Akhtar Jamıl, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Detection of Contamination and Failure in the Outer Race on Ceramic, Metallic, and Hybrid Bearings through AI Using Magnetic Flux and Current
Jonathan Cureño-Osornio, Geovanni Díaz-Saldaña, Roque A. Osornio‐Rios, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 505-505
Open Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Fault diagnosis method of the USV based on improved Res2Net multi-scale feature fusion
Zonglei Mou, Xiao Han, Baoshui Fu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24892-24904
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Advanced Fault Diagnosis in Rotating Machines Using 2D Grayscale Images with Improved Deep Convolutional Neural Networks
Muhammad Ahsan, Dariusz Bismor
(2023), pp. 77-82
Closed Access | Times Cited: 1
Research on fault tracing method of traction drive control system
Jintian Yin, He Zhilong, Liu Li, et al.
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access
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