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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:

Self-supervised feature extraction via time–frequency contrast for intelligent fault diagnosis of rotating machinery
Yang Liu, Weigang Wen, Yihao Bai, et al.
Measurement (2023) Vol. 210, pp. 112551-112551
Closed Access | Times Cited: 14

Showing 14 citing articles:

Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102304-102304
Closed Access | Times Cited: 39
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
A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis
Daxing Fu, Jie Liu, Hao Zhong, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111846-111846
Closed Access | Times Cited: 10
A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox
Zixu Chen, Jinchen Ji, Wennian Yu, et al.
Measurement (2024) Vol. 230, pp. 114497-114497
Closed Access | Times Cited: 8
A Transformer-based self-supervised learning model for fault diagnosis of air-conditioning systems with limited labeled data
Hua Mei, Ke Yan, Xin Li
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110331-110331
Closed Access
Fault diagnosis method for imbalanced data of rotating machinery based on time domain signal prediction and SC-ResNeSt
Haitao Wang, Yifan Guo, Xiang Liu, et al.
IEEE Access (2023) Vol. 11, pp. 38875-38893
Open Access | Times Cited: 10
A Bearing Fault Diagnosis Method Based on Dilated Convolution and Multi-Head Self-Attention Mechanism
Peng Hou, Jianjie Zhang, Zhangzheng Jiang, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12770-12770
Open Access | Times Cited: 4
Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection
Kexin Zhang, Rongyao Cai, Chunlin Zhou, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7641-7653
Closed Access | Times Cited: 1
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation
Wentao Mao, Zongtao Chen, Yanna Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107427-107427
Closed Access | Times Cited: 3
Attention features selection oversampling technique (AFS-O) for rolling bearing fault diagnosis with class imbalance
Zhongze Han, Haoran Wang, Chen Shen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 2
DA-VICReg: a data augmentation-free self-supervised learning approach for diesel engine fault diagnosis
Tianyou Chen, Yang Xiang, Jiaxing Wang
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086109-086109
Closed Access
A Fault Diagnosis Method for Bearings and Gears in Rotating Machinery Based on Data Fusion and Transfer Learning
Yi Zhang, Xiaoxiang Yan, Ping Xiao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016104-016104
Closed Access
Research on intelligent water valve fault classification method based on machine learning
Huaikun Wu, Weisha Hao, Xiangyu Li, et al.
(2023), pp. 250-255
Closed Access | Times Cited: 1
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