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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 Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples
Wenqing Wan, Jinglong Chen, Zitong Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6380-6392
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
Haidong Shao, Wei Li, Baoping Cai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9933-9942
Closed Access | Times Cited: 177
Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review
Diwang Ruan, Xuran Chen, Clemens Gühmann, et al.
Lubricants (2023) Vol. 11, Iss. 2, pp. 74-74
Open Access | Times Cited: 21
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning
Huan Wang, Xindan Wang, Yizhuo Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 6
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
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
An Innovative Foundation Model for Bearing Prognostics and Health Management Through Pre-Trained Large Language Models
Wenxuan Wang, Dan Wang
(2025)
Closed Access
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
MIM-Graph: A multi-sensor network approach for fault diagnosis of HSR Bogie bearings at the IoT edge via mutual information maximization
Wenqing Wan, Jinglong Chen, Jingsong Xie
ISA Transactions (2023) Vol. 139, pp. 574-585
Closed Access | Times Cited: 13
Multirelational Fusion Graph Convolution Network With Multiscale Residual Network for Fault Diagnosis of Complex Industrial Processes
Yinghua Han, Siwei Tuo, Yuan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 4
Mining knowledge from unlabeled data for fault diagnosis: A multi-task self-supervised approach
Depeng Kong, Weidi Huang, Libo Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111189-111189
Closed Access | Times Cited: 4
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
Contrastive regularization guided label refurbishment for fault diagnosis under label noise
Jiankang Zhong, Yongjun Yang, Hanling Mao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102478-102478
Closed Access | Times Cited: 3
Enhancing Equipment Safeguarding in IIoT: A Self-Supervised Fault Diagnosis Paradigm based on Asymmetric Graph Autoencoder
Zhuohang Chen, Shen Liu, Chao Li, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111922-111922
Closed Access | Times Cited: 3
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios
Liu Cheng, Haochen Qi, Rongcai Ma, et al.
Knowledge-Based Systems (2024), pp. 112658-112658
Closed Access | Times Cited: 3
Cross-Sensor Correlative Feature Learning and Fusion for Intelligent Fault Diagnosis
Zhixi Feng, Hao Hu, Shuyuan Yang
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 3664-3674
Closed Access | Times Cited: 6
Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning
Matthew Russell, Peng Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 274-285
Open Access | Times Cited: 6
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults
Chuan Li, Yifan Wu, Manjun Xiong, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Multi-scale Deep Subspace Clustering Network with Hierarchical Fusion Mechanism for Mechanical Fault Diagnosis
Gang Wang, Mingfeng Lu
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1
A novel multi-sensor local and global feature fusion architecture based on multi-sensor sparse Transformer for intelligent fault diagnosis
Zhenkun Yang, Gang Li, Gui Xue, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112188-112188
Closed Access | Times Cited: 1
Graph-Based Model Compression for HSR Bogies Fault Diagnosis at IoT Edge via Adversarial Knowledge Distillation
Wenqing Wan, Jinglong Chen, Jingsong Xie
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1787-1796
Closed Access | Times Cited: 2
A Novel Cross-Sensor Self-Supervised Learning Method for Rotating Machinery Fault Diagnosis
Hao Hu, Zhixi Feng, Ruoxue Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7795-7799
Closed Access
Incorporate Rotational Speeds Into Deep Neural Network for Machinery Health Monitoring
W. M. Liu, Chaoang Xiao, Jianbo Yu
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 13330-13340
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
A self-growth convolution network for thermal and mechanical fault detection with very limited engine data
Gou Xin, Xiaolong Zhu, Xinwei Wang, et al.
Energy and AI (2024), pp. 100449-100449
Open Access
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