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:

Prior knowledge-based self-supervised learning for intelligent bearing fault diagnosis with few fault samples
Ke Wu, Yukang Nie, Jun Wu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105104-105104
Closed Access | Times Cited: 8

Showing 8 citing articles:

Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23

Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access

Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8

A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5

Enhancing Fault Diagnosis in Industrial Processes through Adversarial Task Augmented Sequential Meta-Learning
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4433-4433
Open Access | Times Cited: 1

Optimal transport strategy-based meta-attention network for fault diagnosis of rotating machinery with zero sample
Ke Wu, Kaiwei Yu, Chong Chen, et al.
Applied Intelligence (2024) Vol. 54, Iss. 9-10, pp. 6799-6815
Closed Access

Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102875-102875
Closed Access

Domain Adaptive and Adversarial Transformer Networks for Fault Detection of Propulsion Shaft System
Qiming Shu, Chengjie Wang, Ke Wu, et al.
(2023), pp. 1-5
Closed Access

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