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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:

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task
Ruyi Huang, Jipu Li, Yixiao Liao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions
Te Han, Yan‐Fu Li, Min Qian
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 178
Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives
Tongyang Pan, Jinglong Chen, Tianci Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 1-10
Closed Access | Times Cited: 133
A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery
Zhuyun Chen, Yixiao Liao, Jipu Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 3, pp. 1982-1993
Closed Access | Times Cited: 108
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 80
Supervised Contrastive Learning-Based Domain Adaptation Network for Intelligent Unsupervised Fault Diagnosis of Rolling Bearing
Yongchao Zhang, Zhaohui Ren, Shihua Zhou, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5371-5380
Closed Access | Times Cited: 76
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking
Weihua Li, Hao Lan, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 57
Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM
You Keshun, Wang Puzhou, Yingkui Gu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23002-23019
Closed Access | Times Cited: 32
Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
Ao Ding, Yong Qin, Biao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111175-111175
Closed Access | Times Cited: 19
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios
Jiaxian Chen, Kairu Wen, Jingyan Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22915-22925
Closed Access | Times Cited: 14
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis
Junbin Chen, Ruyi Huang, Kun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 68
Rolling Bearing Fault Severity Recognition via Data Mining Integrated With Convolutional Neural Network
Dongdong Liu, Lingli Cui, Weidong Cheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5768-5777
Closed Access | Times Cited: 43
Intelligent Fault Diagnosis for Bearings of Industrial Robot Joints Under Varying Working Conditions Based on Deep Adversarial Domain Adaptation
Bingjie Xia, Kai Wang, Aidong Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 41
Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings
Fei Jiang, Kang Ding, Guolin He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 41
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis
Yongchao Zhang, Ke Feng, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 40
A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis
Xiaoyang Liu, Shulin Liu, Jiawei Xiang, et al.
Information Sciences (2023) Vol. 642, pp. 119175-119175
Closed Access | Times Cited: 39
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions
Xue‐Gang Li, Xingxing Jiang, Qian Wang, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108443-108443
Closed Access | Times Cited: 38
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions
He Ren, Jun Wang, Zhongkui Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110579-110579
Closed Access | Times Cited: 27
Multiscale Noise Reduction Attention Network for Aeroengine Bearing Fault Diagnosis
Xing Wang, Han Zhang, Zhaohui Du
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 25
Prediction of Wind Turbine Blades Icing Based on CJBM With Imbalanced Data
Sai Li, Yanfeng Peng, Guangfu Bin
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19726-19736
Closed Access | Times Cited: 22
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Jingyan Xia, Zhuyun Chen, Jiaxian Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107848-107848
Closed Access | Times Cited: 11
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
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