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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:

An Unsupervised Domain Adaptation Method for Intelligent Bearing Fault Diagnosis Based on Signal Reconstruction by Cycle-Consistent Adversarial Learning
Wenying Zhu, Boqiang Shi, Zhipeng Feng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 18477-18485
Closed Access | Times Cited: 12

Showing 12 citing articles:

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
Min Huang, Z. P. Xie, Bo Sun, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 579-579
Open Access
Calibrated source-free adaptation for intelligent diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112582-112582
Closed Access
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Multirotational Speed Data Augmentation and Data Repair of High-Speed Train Wheelset Bearings Using Graph Speed Classifier GAN
Zengqiang Ma, Zonghao Yuan, Xin Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30984-30997
Closed Access | Times Cited: 4
A fault diagnosis method based on NTFES-FCCT for variable working condition bearing signals
Zhenya Wang, Tao Liu, Xing Wu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20989-20998
Closed Access | Times Cited: 1
Pseudo-label guided dual classifier domain adversarial network for unsupervised cross-domain fault diagnosis with small samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
Advanced Engineering Informatics (2024) Vol. 64, pp. 102986-102986
Closed Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Mitigating Decision Boundary Confusion: A Classifier Prediction-Oriented Domain Adaptation Network
Xue Ding, Aidong Deng, Minqiang Deng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18672-18684
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
A Transfer Learning Model for Rolling Bearing Fault Diagnosis Based on Texture Loss Strategy and Nuclear Norm Regularization
Yuan Zhou, Xiaofeng Yue, Zeyuan Liu
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016149-016149
Closed Access
Entropy-Weighted Manifold-Adjusted Transfer Learning for Cross-Condition Fault Diagnosis with Imbalanced and Missing Labels
Z. Zhou, Wen‐Hua Chen
Signal Processing (2024) Vol. 229, pp. 109806-109806
Closed Access
A bearing fault extraction method combining time–frequency mode decomposition based on local maxima with amplitude z-scores
Tao Liu, Xinsan Li, Mindong Lyu, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103002-103002
Closed Access
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