Open Access Helper

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:

Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis
Qin Hu, Xiaosheng Si, Aisong Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12139-12151
Closed Access | Times Cited: 60

Showing 51-75 of 60 citing articles:

Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network
Hehua Yan, Jinbiao Tan, Yixiong Luo, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 891-891
Open Access
A self-improving fault diagnosis method for intershaft bearings with missing training samples
Jiaxin Feng, Y.J. Bi, Hao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112260-112260
Closed Access
Proportional periodic sampling for cross-load bearing fault diagnosis
Jianbo Zheng, Bin Jiang, Chao Yang
International Journal of Machine Learning and Cybernetics (2024)
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 Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning
Jinbiao Tan, Jiafu Wan, Hu Cai, et al.
Lecture notes in computer science (2024), pp. 3-15
Closed Access
Transfer Learning for Anomaly Detection Using Bearings' Vibration Signals
Diego Nieves Avendano, Dirk Deschrijver, Sofie Van Hoecke
The International Journal of Acoustics and Vibration (2023) Vol. 28, Iss. 4, pp. 420-434
Open Access | Times Cited: 1
Motor Fault Diagnosis Under Variable Working Conditions Based on Two-Dimensional Time Series and Transfer Learning
Xiaoyuan Wang, Xin Wang, Zhang Xiang, et al.
2021 24th International Conference on Electrical Machines and Systems (ICEMS) (2022), pp. 1-5
Closed Access | Times Cited: 2
An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation
Zhitao Xu, Xingwei Tong, Liuyang Song, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor
Anurag Choudhary, Tauheed Mian, Shahab Fatima, et al.
(2022)
Closed Access | Times Cited: 1
Adaptive diagnosis and non-fragile predictive control for HFV engine with non-Gaussian uncertain output
Kai-Yu Hu, Zian Cheng, Jingxiu Gong
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering (2023) Vol. 237, Iss. 12, pp. 2742-2758
Closed Access
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