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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 multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning
Kun Yu, Tian Ran Lin, Hui Ma, et al.
Mechanical Systems and Signal Processing (2020) Vol. 146, pp. 107043-107043
Closed Access | Times Cited: 230

Showing 1-25 of 230 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Tianfu Li, Zheng Zhou, Sinan Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108653-108653
Closed Access | Times Cited: 308
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
Zhang We, Xiang Li, Hui Ma, et al.
Knowledge-Based Systems (2020) Vol. 213, pp. 106679-106679
Closed Access | Times Cited: 224
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings
Yifei Ding, Jichao Zhuang, Peng Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108126-108126
Closed Access | Times Cited: 148
Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy
Zhang We, Xiang Li
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 1, pp. 430-439
Closed Access | Times Cited: 146
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions
Zhang We, Xiang Li, Hui Ma, et al.
Reliability Engineering & System Safety (2021) Vol. 211, pp. 107556-107556
Closed Access | Times Cited: 130
Intelligent Machinery Fault Diagnosis With Event-Based Camera
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 380-389
Closed Access | Times Cited: 95
Supervised Contrastive Learning-Based Domain Adaptation Network for Intelligent Unsupervised Fault Diagnosis of Rolling Bearing
Yongchao Zhang, Zhaohui Ren, Shihua Zhou, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5371-5380
Closed Access | Times Cited: 76
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Shuyang Luo, Xufeng Huang, Yanzhi Wang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109846-109846
Closed Access | Times Cited: 72
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101795-101795
Closed Access | Times Cited: 69
A novel entropy-based sparsity measure for prognosis of bearing defects and development of a sparsogram to select sensitive filtering band of an axial piston pump
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Measurement (2022) Vol. 203, pp. 111997-111997
Closed Access | Times Cited: 67
A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern
Pengcheng Xia, Yixiang Huang, Zhiyu Tao, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109256-109256
Closed Access | Times Cited: 42
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction
Dingliang Chen, Yi Qin, Yi Wang, et al.
ISA Transactions (2020) Vol. 114, pp. 44-56
Closed Access | Times Cited: 131
Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation
Ruxue Bai, Quansheng Xu, Zong Meng, et al.
Measurement (2021) Vol. 184, pp. 109885-109885
Closed Access | Times Cited: 97
Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis
Kun Yu, Qiang Fu, Hui Ma, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 2182-2198
Closed Access | Times Cited: 83
Conditional GAN and 2-D CNN for Bearing Fault Diagnosis With Small Samples
J. N. Yang, Jie Liu, Jingsong Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Open Access | Times Cited: 82
A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing
Chuangyan Yang, Jun Ma, Xiaodong Wang, et al.
ISA Transactions (2021) Vol. 121, pp. 349-364
Closed Access | Times Cited: 75
A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering
Yichao Dun, Lida Zhu, Boling Yan, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107755-107755
Closed Access | Times Cited: 65
Statistical characterization of semi-supervised neural networks for fault detection and diagnosis of air handling units
Cheng Fan, Xuyuan Liu, Peng Xue, et al.
Energy and Buildings (2021) Vol. 234, pp. 110733-110733
Closed Access | Times Cited: 58
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity
Hao Su, Xin Yang, Ling Xiang, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108381-108381
Closed Access | Times Cited: 58
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
Huan Wang, Zhiliang Liu, Yipei Ge, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107978-107978
Closed Access | Times Cited: 56
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
Cross-domain meta learning fault diagnosis based on multi-scale dilated convolution and adaptive relation module
Ruiyi Ma, Tian Han, Wenxin Lei
Knowledge-Based Systems (2022) Vol. 261, pp. 110175-110175
Closed Access | Times Cited: 45
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis
Yongchao Zhang, Ke Feng, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 40
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