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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:

Bearing vibration data collected under time-varying rotational speed conditions
Huan Huang, Natalie Baddour
Data in Brief (2018) Vol. 21, pp. 1745-1749
Open Access | Times Cited: 285

Showing 1-25 of 285 citing articles:

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 190
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 123
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Feature Extraction Using Parameterized Multisynchrosqueezing Transform
Xinyan Li, Huimin Zhao, Ling Yu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 14, pp. 14263-14272
Closed Access | Times Cited: 96
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention
Shen Yan, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121338-121338
Open Access | Times Cited: 95
Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds
Yifan Li, Xin Zhang, Zaigang Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110108-110108
Closed Access | Times Cited: 74
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
Pengfei Liang, Zhuoze Yu, Bin Wang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102075-102075
Closed Access | Times Cited: 71
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions
Qi Li, Liang Chen, Lin Kong, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109171-109171
Open Access | Times Cited: 65
A novel bearing fault diagnosis approach using the Gaussian mixture model and the weighted principal component analysis
Amir Eshaghi Chaleshtori, Abdollah Aghaie
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109720-109720
Closed Access | Times Cited: 62
Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds
Pengfei Liang, Leitao Xu, Hanqin Shuai, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 730-741
Closed Access | Times Cited: 48
Optimized multivariate multiscale slope entropy for nonlinear dynamic analysis of mechanical signals
Yuxing Li, Bingzhao Tang, Shangbin Jiao, et al.
Chaos Solitons & Fractals (2023) Vol. 179, pp. 114436-114436
Closed Access | Times Cited: 40
CTNet: a data-driven time-frequency technique for wind turbines fault diagnosis under time-varying speeds
Dezun Zhao, Depei Shao, Lingli Cui
ISA Transactions (2024) Vol. 154, pp. 335-351
Closed Access | Times Cited: 34
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Neural Networks (2024) Vol. 172, pp. 106099-106099
Closed Access | Times Cited: 19
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations
Chao He, Hongmei Shi, Ruixin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102568-102568
Open Access | Times Cited: 17
Deep Domain Generalization Combining A Priori Diagnosis Knowledge Toward Cross-Domain Fault Diagnosis of Rolling Bearing
Huailiang Zheng, Yuantao Yang, Jiancheng Yin, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 78
Second-Order Synchroextracting Transform with Application to Fault Diagnosis
Wenjie Bao, Fucai Li, Xiaotong Tu, et al.
IEEE Transactions on Instrumentation and Measurement (2020), pp. 1-1
Closed Access | Times Cited: 78
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation
Nannan Lu, Hanhan Xiao, Yanjing Sun, et al.
Neurocomputing (2020) Vol. 427, pp. 96-109
Closed Access | Times Cited: 70
Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion
Huibin Zhu, Zhangming He, Juhui Wei, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2524-2524
Open Access | Times Cited: 68
A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis
Tian Zhang, Shulin Liu, Yuan Wei, et al.
Measurement (2021) Vol. 185, pp. 110030-110030
Closed Access | Times Cited: 62
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing
Dongfang Zhao, Shulin Liu, Hongyi Du, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101844-101844
Closed Access | Times Cited: 61
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 56
A Survey on Fault Diagnosis of Rolling Bearings
Bo Peng, Ying Bi, Bing Xue, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 347-347
Open Access | Times Cited: 55
Domain Transferability-Based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7355-7366
Closed Access | Times Cited: 42
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101648-101648
Closed Access | Times Cited: 40
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