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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 double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis
Yafei Deng, Delin Huang, Shichang Du, et al.
Computers in Industry (2021) Vol. 127, pp. 103399-103399
Closed Access | Times Cited: 178

Showing 1-25 of 178 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
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-28
Open Access | Times Cited: 325
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
Hongru Cao, Haidong Shao, Xiang Zhong, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 186-198
Closed Access | Times Cited: 206
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
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
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions
Liang Chen, Qi Li, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1790-1800
Open Access | Times Cited: 137
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 systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 129
Universal source-free domain adaptation method for cross-domain fault diagnosis of machines
Yongchao Zhang, Zhaohui Ren, Ke Feng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110159-110159
Closed Access | Times Cited: 90
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
A novel multi-scale CNN and attention mechanism method with multi-sensor signal for remaining useful life prediction
Xingwei Xu, Xiang Li, Weiwei Ming, et al.
Computers & Industrial Engineering (2022) Vol. 169, pp. 108204-108204
Closed Access | Times Cited: 80
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 73
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: 72
Domain augmentation generalization network for real-time fault diagnosis under unseen working conditions
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109188-109188
Closed Access | Times Cited: 60
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Yafei Deng, Jun Lv, Delin Huang, et al.
Neurocomputing (2023) Vol. 548, pp. 126391-126391
Closed Access | Times Cited: 55
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15
Joint distribution adaptation with diverse feature aggregation: A new transfer learning framework for bearing diagnosis across different machines
Shiyao Jia, Yafei Deng, Jun Lv, et al.
Measurement (2021) Vol. 187, pp. 110332-110332
Closed Access | Times Cited: 87
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Majdi Mansouri, Mohamed Trabelsi, Hazem Nounou, et al.
IEEE Access (2021) Vol. 9, pp. 126286-126306
Open Access | Times Cited: 86
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers
Jun Zhu, Cheng‐Geng Huang, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 11, pp. 8077-8086
Closed Access | Times Cited: 70
Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism
Hao Wu, Jimeng Li, Qingyu Zhang, et al.
ISA Transactions (2022) Vol. 130, pp. 477-489
Closed Access | Times Cited: 62
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
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