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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 scheme for rotating machinery based on momentum contrastive bi-tuning framework
Jiankang Zhong, Hanling Mao, Weili Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106100-106100
Closed Access | Times Cited: 10

Showing 10 citing articles:

Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 22
Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review
Yongjian Sun, Wei Wang
Engineering Failure Analysis (2023) Vol. 156, pp. 107815-107815
Closed Access | Times Cited: 16
Intelligent Recognition for Operation States of Hydroelectric Generating Units Based on Data Fusion and Visualization Analysis
Yongfei Wang, Yu Liu, Xiaofei Li, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Image texture feature fusion enhancement for bearing fault diagnosis based on maximum gradient
Yongjian Sun, Gang Yu, Wei Wang
Reliability Engineering & System Safety (2025), pp. 111009-111009
Closed Access
Deep time–frequency learning for interpretable weak signal enhancement of rotating machineries
Jiakai Ding, Yi Wang, Yi Qin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106598-106598
Closed Access | Times Cited: 12
Reinforcement learning-based distributed impedance control of robots for compliant operation in tight interaction tasks
Pengjie Xu, Zhenyu Li, Xun Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108913-108913
Closed Access | Times Cited: 2
Adaptive neighborhood-perceived contrastive network for early stage fault diagnosis of rolling bearing with limited labeled data
Yu Yao, Jian Feng, Huaguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109063-109063
Closed Access | Times Cited: 1
A Novel Method Based on Stepwise Variational Modal Decomposition and Gramian Angular Difference Field for Bearing Health Monitoring
Yong Li, Hongyao Zhang, Sencai Ma, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 11, pp. 15773-15786
Closed Access | Times Cited: 1
A fine-tuning framework for cross-domain RUL prediction based on relevant health indicators
Junrong Du, Zimeng Fan, Lei Song, et al.
(2024), pp. 1746-1751
Closed Access
Twin data multimode collaborative transfer learning for bearing failure diagnosis
Xiaofeng Liu, Yan Jin, Fan Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109142-109142
Closed Access
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