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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:

A dual-view alignment-based domain adaptation network for fault diagnosis
Chao Zhao, Guokai Liu, Weiming Shen
Measurement Science and Technology (2021) Vol. 32, Iss. 11, pp. 115102-115102
Closed Access | Times Cited: 14

Showing 14 citing articles:

Dual adversarial network for cross-domain open set fault diagnosis
Chao Zhao, Weiming Shen
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108358-108358
Closed Access | Times Cited: 85
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 79
A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis
Chao Zhao, Weiming Shen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 108990-108990
Closed Access | Times Cited: 73
Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis
Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2909-2918
Closed Access | Times Cited: 72
Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network
Han Wang, Jingwei Wang, Yukai Zhao, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1559-1568
Closed Access | Times Cited: 57
Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions
Chao Zhao, Weiming Shen
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108672-108672
Closed Access | Times Cited: 45
Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working conditions
Chao Zhao, Weiming Shen
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110074-110074
Closed Access | Times Cited: 41
A balanced and weighted alignment network for partial transfer fault diagnosis
Chao Zhao, Guokai Liu, Weiming Shen
ISA Transactions (2022) Vol. 130, pp. 449-462
Closed Access | Times Cited: 30
An Early Fault Detection Method of Rotating Machines Based on Unsupervised Sequence Segmentation Convolutional Neural Network
Wenbin Song, Weiming Shen, Liang Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-12
Closed Access | Times Cited: 35
Early fault detection for rolling bearings: A meta‐learning approach
Wenbin Song, Di Wu, Weiming Shen, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 2
Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges
Marcel Braig, Peter Zeiler
IEEE Access (2022) Vol. 11, pp. 1506-1554
Open Access | Times Cited: 8
Feature decoupling integrated domain generalization network for bearing fault diagnosis under unknown operating conditions
Qiyang Xiao, Maolin Yang, Jiayuan Yan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Scale adaptive subdomain matching network for bearing fault diagnosis
Di Zhang, Yuan Wei, Baoqiang Wang, et al.
Measurement Science and Technology (2021) Vol. 33, Iss. 2, pp. 025006-025006
Closed Access | Times Cited: 7
A feature extraction method for rotating machinery fault diagnosis based on a target detection index and successive variational mode decomposition
Chaofan Cao, Guangtao Zhang, Zhongliang Li, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036108-036108
Closed Access | Times Cited: 2
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