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:

Mechanical fault diagnosis based on deep transfer learning: a review
Dalian Yang, Wen-Bin Zhang, Yong-Zheng Jiang
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 112001-112001
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30

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

Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generation
Xinyu Ren, Suixin Wang, Wanli Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103233-103233
Closed Access | Times Cited: 1

Separation of fault characteristic impulses of flexible thin-wall bearing based on wavelet transform and correlated Gini index
Yanjiang Yu, Xuezhi Zhao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111118-111118
Closed Access | Times Cited: 6

Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Rongcai Wang, Enzhi Dong, Zhonghua Cheng, et al.
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 5

A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data
Guofa Li, Shaoyang Liu, Jialong He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108948-108948
Closed Access | Times Cited: 5

Interpretable multi-domain meta-transfer learning for few-shot fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 4

Bearing fault diagnosis based on transfer learning with dual-flow manifold ResNet and improved CapsNet
L Yao, Hongwei Wang, Tao Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076123-076123
Closed Access | Times Cited: 4

Twins Transformer: Rolling Bearing Fault Diagnosis based on Cross-attention Fusion of Time and Frequency Domain Features
Zhikang Gao, Yanxue Wang, Xinming Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096113-096113
Closed Access | Times Cited: 4

A rolling bearing fault diagnosis method under insufficient samples condition based on MSLSTM transfer learning
Ping Zhang, Debo Liu
Journal of Vibroengineering (2025) Vol. 27, Iss. 1, pp. 93-107
Open Access

Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery:A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access

Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning
Xun Zhang, Guanghua Xu, Xiaobi Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076118-076118
Closed Access | Times Cited: 3

Domain adversarial transfer fault diagnosis method of an axial piston pump based on a multi-scale attention mechanism
Zhikui Dong, Huijiang An, Siyuan Liu, et al.
Measurement (2024) Vol. 239, pp. 115455-115455
Open Access | Times Cited: 2

Domain generalization for rotating machinery fault diagnosis: A survey
Yiming Xiao, Haidong Shao, Shen Yan, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103063-103063
Closed Access | Times Cited: 2

Fault diagnosis method for bearings under variable working conditions based on transfer relation network
ran zhang, Zhihong Zhao, Tao Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126202-126202
Closed Access | Times Cited: 1

Application of deep learning in fMRI-based human brain parcellation: a review
Yu Li, Xun Chen, Qinrui Ling, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 032001-032001
Closed Access | Times Cited: 4

A cross-domain intelligent fault diagnosis method based on multi-source domain feature adaptation and selection
Ning Jia, Weiguo Huang, Yao Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 046108-046108
Closed Access | Times Cited: 3

Investigation on the fusion reliability and cluster consistency of multivariable entropy method
Hang Guo, Xianzhi Wang, Hongbo Ma, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086101-086101
Closed Access

Trainable Gaussian-based activation functions for sensor-based human activity recognition
Javier Machacuay, Mario Quinde
Journal of Reliable Intelligent Environments (2024) Vol. 10, Iss. 4, pp. 357-376
Closed Access

Dynamic simulation-assisted Gaussian mixture alignment approach for fault diagnosis of rotation machinery under small samples
shubo yu, Zhansheng Liu, Gaorong Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096106-096106
Closed Access

Zero-shot fault diagnosis of high-voltage circuit breakers: fusion of phase space reconstruction and attribute embedding methods
Qiuyu Yang, Yawen Liu, Yuyi Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116113-116113
Closed Access

A verified training support vector machine in bearing fault diagnosis
Yuting Liu, Hong Gu, Pan Qin
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116131-116131
Closed Access

Hard task-based dual-aligned meta-transfer learning for cross-domain few-shot fault diagnosis
Zhiwu Shang, Hu Liu, Wanxiang Li, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access

域泛化机械故障诊断研究进程与展望
HaiDong SHAO, YiMing XIAO, Shen YAN, et al.
Scientia Sinica Technologica (2024) Vol. 55, Iss. 1, pp. 14-32
Closed Access

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