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:

Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis
Qing Zhang, Xiaohan Wei, Ye Wang, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1831-1831
Open Access | Times Cited: 8

Showing 8 citing articles:

Hybrid CNN-BiLSTM-MHSA Model for Accurate Fault Diagnosis of Rotor Motor Bearings
Zi-Zhen Yang, Wenjia Li, Fang Yuan, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 334-334
Open Access

Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods
Amirhossein Najafabadipour, Fereshteh Hassanzadeh, Meghdad Kordestani
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access

Optimizing pulmonary nodule segmentation in CT imaging: A comparative study of anchor-based and anchor-free detectors using attention mechanism
K. Vino Aishwarya, A. Asuntha, Jayanth Murugan
Multimedia Tools and Applications (2025)
Closed Access

Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology
Peng Jiang, Jinlei Xia, Wei Li, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 2

Semi-Supervised Informer for the Compound Fault Diagnosis of Industrial Robots
Chuanhua Deng, Junjie Song, Chong Chen, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3732-3732
Open Access | Times Cited: 1

BROKEN MAGNETS FAULT DETECTION IN PMSM USING A CONVOLUTIONAL NEURAL NETWORK AND SVM
Said Benkaihoul, Lakhdar Mazouz, Toufik Tayeb Naas, et al.
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2024) Vol. 10, Iss. 48
Open Access

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