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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:

Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance
Zhijun Ren, Yongsheng Zhu, Zheng Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Dissolved Gas Analysis Using Knowledge-Filtered Oversampling-Based Diverse Stack Learning
Hongcai Chen, Yang Zhang
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access | Times Cited: 1
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
Yage Yuan, Jianan Wei, Haisong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106911-106911
Closed Access | Times Cited: 29
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
Few-Shot Class-Incremental Learning with Adjustable Pseudo-Incremental Sessions for Bearing Fault Diagnosis
Hongyan Zhu, Changqing Shen, Jiaan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19543-19552
Closed Access | Times Cited: 8
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis
Zhijun Ren, Dawei Gao, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106542-106542
Closed Access | Times Cited: 20
Few-shot learning for structural health diagnosis of civil infrastructure
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102650-102650
Closed Access | Times Cited: 7
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
Abdul Majeed
Journal of Cybersecurity and Privacy (2023) Vol. 3, Iss. 3, pp. 638-661
Open Access | Times Cited: 15
Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
Haitao Wang, Xiheng Zhang
IEEE Access (2024) Vol. 12, pp. 5517-5533
Open Access | Times Cited: 4
Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
Zuowei Ping, Dewen Wang, Yong Zhang, et al.
Neurocomputing (2025), pp. 129327-129327
Closed Access
Few-shot Fault Diagnosis of Particle Accelerator Power System Using a Bidirectional Discriminative Prototype Network
Z. Yang, Rongbin Ye, Lingli Jiang, et al.
Applied Soft Computing (2025), pp. 112726-112726
Closed Access
Fault diagnosis method for railway wagon bearings under imbalanced dataset based on improved ACWGAN
Zhihui Men, Yonghua Li, Lei Gao, et al.
Nonlinear Dynamics (2025)
Closed Access
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
Closed Access
IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions
Hongwei Wang, S Guan, Xuesong Wang, et al.
IEEE Access (2025) Vol. 13, pp. 41011-41024
Open Access
Novel extended NI-MWMOTE-based fault diagnosis method for data-limited and noise-imbalanced scenarios
Jianan Wei, Jiaxin Wang, Haisong Huang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121799-121799
Closed Access | Times Cited: 11
Meta-Learning With Distributional Similarity Preference for Few-Shot Fault Diagnosis Under Varying Working Conditions
Chao Ren, Bin Jiang, Ningyun Lu, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2746-2756
Closed Access | Times Cited: 10
BiLSTM-TANet: an adaptive diverse scenes model with context embeddings for few-shot learning
He Zhang, Han Liu, Lili Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 5097-5116
Closed Access | Times Cited: 3
Densely Multi-scale Fusion Network for Lightweight and Accurate Semantic Segmentation of Railway Scenes
Lirong Lian, Zhiwei Cao, Yong Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 3
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks
Sizhe Liu, XU De-zhi, Yujian Ye, et al.
Information Sciences (2024) Vol. 687, pp. 121399-121399
Closed Access | Times Cited: 3
DP-GAN: A Transmission Line Bolt Defects Generation Network Based on Dual Discriminator Architecture and Pseudo-Enhancement Strategy
Ke Zhang, Y. J. Xiao, Jiacun Wang, et al.
IEEE Transactions on Power Delivery (2024) Vol. 39, Iss. 3, pp. 1622-1633
Closed Access | Times Cited: 3
Relation Awareness Network for Few-Shot Fine-Grained Fault Diagnosis
Yan Xu, Xinyao Ma, Xuan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20949-20958
Closed Access | Times Cited: 2
FMRGAN: Feature Mapping Reconstruction GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Yinsheng Chen, Yukang Qiang, Jiahui Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 25116-25131
Closed Access | Times Cited: 2
Novel Meta-Learning for Few-Shot Bearing Fault Diagnosis Under Varying Working Conditions
Chuanhao Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035239-035239
Closed Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Generative Adversarial Network With Dual Multiscale Feature Fusion for Data Augmentation in Fault Diagnosis
Zhijun Ren, Jinchen Ji, Yongsheng Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-17
Closed Access | Times Cited: 5
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