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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:

A novel self-training semi-supervised deep learning approach for machinery fault diagnosis
Jianyu Long, Yibin Chen, Zhe Yang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 23, pp. 8238-8251
Closed Access | Times Cited: 61

Showing 51-75 of 61 citing articles:

Solving Data Imbalance in Text Classification With Constructing Contrastive Samples
Xi Chen, Wei Zhang, Shuai Pan, et al.
IEEE Access (2023) Vol. 11, pp. 90554-90562
Open Access | Times Cited: 2
Semi-Supervised Fault Diagnosis Method Based on Dual-Stream Attention Cyclic Auto-Encoder for Rotating Components With Low Label Rate
Jianguo Miao, Zihao Deng, Congying Deng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4948-4959
Closed Access
An enhanced semi-supervised learning method with self-supervised and adaptive threshold for fault detection and classification in urban power grids
Jiahao Zhang, Lan Cheng, Zhile Yang, et al.
Energy and AI (2024) Vol. 17, pp. 100377-100377
Open Access
Fault Diagnosis Method for Imbalanced and Unlabeled Data Based on Bayesian Graph Balanced Learning
Z. Zhou
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096131-096131
Closed Access
A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder
Hengqian Wang, Lei Chen, Kuangrong Hao, et al.
Information Sciences (2024), pp. 121565-121565
Closed Access
Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis
Florent Forest, Olga Fink
Sensors (2024) Vol. 24, Iss. 23, pp. 7539-7539
Open Access
Research on Shaft Current Damage Identification of Variable Condition Motor Bearings Based on Multiscale Feature Label Propagation and Manifold Metric Transfer
Guangbin Wang, Shubiao Zhao, Zhixian Zhong, et al.
Lubricants (2023) Vol. 11, Iss. 2, pp. 69-69
Open Access | Times Cited: 1
Contrastive Learning Combining Frequency-Domain and Time-Domain Information for Intelligent Fault Diagnosis of Rotating Machinery
Yang Liu, Weigang Wen, Yihao Bai, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
A transfer-learning fault diagnosis method considering nearest neighbor feature constraints
Mengjie Zeng, Shunming Li, Ranran Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 015114-015114
Closed Access | Times Cited: 1
A novel unsupervised deep transfer learning method based on contrast pre-training for fault diagnosis
Jungang Cao, Zhe Yang, Yunwei Huang, et al.
(2023), pp. 1-6
Closed Access
A Few-Label Contrastive Transfer Fault Diagnosis Method for Rolling Element Bearings
Jiawei Liu, Zhe Yang, Yunwei Huang, et al.
(2023), pp. 1-4
Closed Access
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