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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:

Intelligent fault diagnosis based on sample weighted joint adversarial network
Minqiang Deng, Aidong Deng, Yaowei Shi, et al.
Neurocomputing (2022) Vol. 488, pp. 168-182
Closed Access | Times Cited: 14

Showing 14 citing articles:

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
Electro-hydraulic SBW fault diagnosis method based on novel 1DCNN-LSTM with attention mechanisms and transfer learning
Senhao Zhang, Weihe Liang, Wanzhong Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111644-111644
Closed Access | Times Cited: 10
Domain adaptation with domain specific information and feature disentanglement for bearing fault diagnosis
Shaozhang Xie, Peng Xia, Hanqi Zhang
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056101-056101
Open Access | Times Cited: 6
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Inter- to Intradomain: A Progressive Adaptation Method for Machine Fault Diagnosis
Jinyang Jiao, Hao Li
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5364-5373
Closed Access | Times Cited: 9
Fault diagnosis of rolling bearing under limited samples using joint learning network based on local-global feature perception
Bin Liu, Changfeng Yan, Zonggang Wang, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 7, pp. 3409-3425
Closed Access | Times Cited: 6
Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning
Mengmeng Song, Zicheng Xiong, Jian-Hua Zhong, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Bearing Fault Diagnosis Using ACWGAN-GP Enhanced by Principal Component Analysis
Bin Chen, Chengfeng Tao, Jie Tao, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7836-7836
Open Access | Times Cited: 4
An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening
Chunran Huo, Weiyang Xu, Quan Jiang, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2288-2309
Closed Access | Times Cited: 4
Instance adaptive multisource transfer for fault diagnosis of rotating machinery under variable working conditions
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Measurement (2022) Vol. 202, pp. 111797-111797
Closed Access | Times Cited: 5
Intra-Domain Transfer Learning for Fault Diagnosis with Small Samples
Liangwei Zhang, Junyan Zhang, Yeping Peng, et al.
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7032-7032
Open Access | Times Cited: 4
Diagnosis of incipient faults in wind turbine bearings based on ICEEMDAN–IMCKD
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
A Dynamic Adaptive Dy-ASPO for Rolling Bearing Fault Diagnosis
Zhai Shuo, Dong Gao
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 7, pp. 3413-3437
Closed Access | Times Cited: 2
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