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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:

Dual-Attention Generative Adversarial Networks for Fault Diagnosis Under the Class-Imbalanced Conditions
Rugen Wang, Zhuyun Chen, Shaohui Zhang, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 2, pp. 1474-1485
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 116
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels
Xiaoming Yuan, Zhikang Zhang, Pengfei Liang, et al.
Applied Acoustics (2024) Vol. 219, pp. 109940-109940
Closed Access | Times Cited: 17
CBAM-CRLSGAN: A novel fault diagnosis method for planetary transmission systems under small samples scenarios
Jie Zhang, Yun Kong, Zhuyun Chen, et al.
Measurement (2024) Vol. 234, pp. 114795-114795
Closed Access | Times Cited: 15
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
Yage Yuan, Jianan Wei, Haisong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106911-106911
Closed Access | Times Cited: 29
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Junwei Hu, Weigang Li, Yong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108970-108970
Closed Access | Times Cited: 13
Adaptive weighted generative adversarial network with attention mechanism: A transfer data augmentation method for tool wear prediction
Jianliang He, Yadong Xu, Yi Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111288-111288
Closed Access | Times Cited: 10
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network
Zong Meng, Qian Li, Dengyun Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19543-19555
Closed Access | Times Cited: 33
Clustering-Guided Novel Unsupervised Domain Adversarial Network for Partial Transfer Fault Diagnosis of Rotating Machinery
Hongru Cao, Haidong Shao, Bin Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 14, pp. 14387-14396
Open Access | Times Cited: 32
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis
Zhijun Ren, Dawei Gao, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106542-106542
Closed Access | Times Cited: 20
Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis
Rugen Wang, Zhuyun Chen, Weihua Li
Applied Soft Computing (2023) Vol. 142, pp. 110313-110313
Closed Access | Times Cited: 17
Rolling Bearing Fault Diagnosis in Limited Data Scenarios Using Feature Enhanced Generative Adversarial Networks
Wenlong Fu, Xiaohui Jiang, Chao Tan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 8749-8759
Closed Access | Times Cited: 26
Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
Haitao Wang, Xiheng Zhang
IEEE Access (2024) Vol. 12, pp. 5517-5533
Open Access | Times Cited: 4
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Zhijun Ren, Kai Huang, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108332-108332
Closed Access | Times Cited: 4
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
An Infrared Thermal Image Few-Shot Learning Method Based on CAPNet and Its Application to Induction Motor Fault Diagnosis
Zhenli Xu, Guiji Tang, Bin Pang
IEEE Sensors Journal (2022) Vol. 22, Iss. 16, pp. 16440-16450
Closed Access | Times Cited: 21
Data Augmentation Fault Diagnosis Method Based on Residual Mixed Self-Attention for Rolling Bearings Under Imbalanced Samples
Jiuyuan Huo, Chenbo Qi, Chaojie Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 11
Improved Generative Adversarial Networks With Filtering Mechanism for Fault Data Augmentation
Lexuan Shao, Ningyun Lu, Bin Jiang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15176-15187
Closed Access | Times Cited: 10
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis
Weihua Li, Jingke He, Huibin Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 9
A Novel Small-Sample Dense Teacher Assistant Knowledge Distillation Method for Bearing Fault Diagnosis
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24279-24291
Closed Access | Times Cited: 8
Multiscale Residual Antinoise Network via Interpretable Dynamic Recalibration Mechanism for Rolling Bearing Fault Diagnosis With Few Samples
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 31425-31439
Closed Access | Times Cited: 7
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