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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:

Contrastive-weighted self-supervised model for long-tailed data classification with vision transformer augmented
Rujie Hou, Jinglong Chen, Yong Feng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 177, pp. 109174-109174
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization
Shen Yan, Xiang Zhong, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109522-109522
Open Access | Times Cited: 40
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples
Zongliang Xie, Jinglong Chen, Yong Feng, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 561-577
Closed Access | Times Cited: 62
One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Weicheng Wang, Chao Li, Aimin Li, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110692-110692
Closed Access | Times Cited: 34
Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions
Tianci Zhang, Jinglong Chen, Shen Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10277-10287
Closed Access | Times Cited: 26
Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
Xianze Li, Hao Su, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110967-110967
Closed Access | Times Cited: 25
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems
Wenzhen Xie, Te Han, Zhongyi Pei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106707-106707
Closed Access | Times Cited: 23
LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios
Haoran Zha, Hanhong Wang, Zhongming Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 929-943
Closed Access | Times Cited: 21
A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets
Yonghua Li, Yipeng Wang, Xing Zhao, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105845-105845
Closed Access | Times Cited: 9
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data
Yanzhuo Lin, Yu Wang, Mingquan Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102471-102471
Closed Access | Times Cited: 8
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23110-23122
Closed Access | Times Cited: 7
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Tackling class imbalance in computer vision: a contemporary review
Manisha Saini, Seba Susan
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1279-1335
Closed Access | Times Cited: 20
Differential contrast guidance for aeroengine fault diagnosis with limited data
Wenhui He, Lin Lin, Song Fu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Diagnosis method of transformer winding mechanical deformation fault based on sliding correlation of FRA and series transfer learning
Xiang-Song Chen, Zhongyong Zhao, Fuhua Guo, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110173-110173
Closed Access | Times Cited: 6
Systematic review of class imbalance problems in manufacturing
Andrea de Giorgio, Gabriele Cola, Lihui Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 620-644
Closed Access | Times Cited: 15
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
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning
Qin Zhao, Yu Ding, Chen Lü, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121001-121001
Closed Access | Times Cited: 14
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Y. Zhou, Amir Barati Farimani
IEEE Access (2024) Vol. 12, pp. 70719-70728
Open Access | Times Cited: 4
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103079-103079
Closed Access
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
Zihao Lei, Shuaiqing Deng, Yu Su, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access
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