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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:

Full Attention Wasserstein GAN With Gradient Normalization for Fault Diagnosis Under Imbalanced Data
Jigang Fan, Xianfeng Yuan, Zhaoming Miao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
Xiongyan Yang, Tianyi Ye, Xianfeng Yuan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7820-7831
Closed Access | Times Cited: 20
FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time–Frequency Domain for Imbalanced Bearing Fault Diagnosis
Haoyu Wang, Peng Li, Xun Lang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 30
An Intelligent Method for Early Motor Bearing Fault Diagnosis Based on Wasserstein Distance Generative Adversarial Networks Meta Learning
Peien Luo, Zhonggang Yin, Dongsheng Yuan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
CBAM-CRLSGAN: A novel fault diagnosis method for planetary transmission systems under small samples scenarios
Jie Zhang, Yun Kong, Zhuyun Chen, et al.
Measurement (2024) Vol. 234, pp. 114795-114795
Closed Access | Times Cited: 13
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
Rotating Machinery Fault Diagnosis with Limited Multisensor Fusion Samples by Fused Attention-Guided Wasserstein GAN
Wenlong Fu, Ke Yang, Bin Wen, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 285-285
Open Access | Times Cited: 11
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners
Jingli Yang, Changdong Wang, Changan Wei
Advanced Engineering Informatics (2022) Vol. 54, pp. 101815-101815
Closed Access | Times Cited: 30
Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis
Dongdong Wang, Yining Dong, Han Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14499-14511
Closed Access | Times Cited: 21
基于改进YOLOv8的光伏电池缺陷检测
周颖 Zhou Ying, 颜毓泽 Yan Yuze, 陈海永 Chen Haiyong, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 8, pp. 0812008-0812008
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
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Zhijun Ren, Kai Huang, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108332-108332
Closed Access | Times Cited: 4
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
Closed Access | Times Cited: 4
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Xilin Yang, Xianfeng Yuan, Xinxin Yao, et al.
Expert Systems with Applications (2025), pp. 126730-126730
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
Closed Access
Dual attention bidirectional generative adversarial network for dynamic uncertainty process monitoring and diagnosis
Xujia Tang, Weipeng Lu, Xuefeng Yan
Process Safety and Environmental Protection (2023) Vol. 171, pp. 214-224
Closed Access | Times Cited: 11
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
Zixu Chen, Wennian Yu, Liming Wang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110918-110918
Closed Access | Times Cited: 11
Data Augmentation Fault Diagnosis Method Based on Residual Mixed Self-Attention for Rolling Bearings Under Imbalanced Samples
Jiuyuan Huo, Chenbo Qi, Chaojie Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 11
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
Improved Generative Adversarial Networks With Filtering Mechanism for Fault Data Augmentation
Lexuan Shao, Ningyun Lu, Bin Jiang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15176-15187
Closed Access | Times Cited: 10
Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis
Sizhe Liu, Yongsheng Qi, Xuejin Gao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025133-025133
Closed Access | Times Cited: 9
Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data
Zhaohui Qin, Faguo Huang, Jiafang Pan, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 358-358
Open Access | Times Cited: 3
Intelligent Fault Diagnosis of Unbalanced Samples Using Optimized Generative Adversarial Network
Yan Huo, Diyuan Guan, Dong Ling-yan
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4927-4927
Open Access | Times Cited: 3
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery
Taehun Kim, Jin Uk Ko, Jinwook Lee, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102821-102821
Closed Access | Times Cited: 2
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