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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:

ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

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
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
A review: the application of generative adversarial network for mechanical fault diagnosis
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating Machinery
Haitao Wang, Xiyang Dai, Lichen Shi, et al.
IEEE Access (2024) Vol. 12, pp. 34785-34799
Open Access | Times Cited: 5
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
A novel convolutional neural network with global perception for bearing fault diagnosis
Xianguo Li, Ying Chen, Yi Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109986-109986
Closed Access
Non-parametric semi-supervised chiller fault diagnosis via variational compressor under severe few labeled samples
Huazheng Han, Xuejin Gao, Huayun Han, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110233-110233
Closed Access
Research on Cross-Domain Generative Diagnosis for Oil and Gas Pipeline Defect Based on Limited Field Data
Junming Yao, Wei Liang, Zhongmin Xiao
Energy (2025), pp. 135086-135086
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
Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules
Zhidan Zhong, Hao Xie, Zhenxin Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1851-1851
Open Access
VIT-GADG: A Generative Domain-Generalized Framework for Chillers Fault Diagnosis Under Unseen Working Conditions
Kexin Jiang, Xuejin Gao, Huihui Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
A digital twin library of mechanical transmission system for the application of small sample fault diagnosis problem
Xianglong Meng, Tianliang Hu, Jinfeng Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066125-066125
Closed Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
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
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
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
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
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples
Lerui Chen, Yuk Ming Tang, Yidan Ma, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Multi-timescale Attention Residual Shrinkage Network with Adaptive Global-Local Denoising for Rolling-Bearing Fault Diagnosis
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112478-112478
Closed Access | Times Cited: 1
Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction
Zhizheng Zhang, Hui Gao, Wenxu Sun, et al.
Knowledge-Based Systems (2024), pp. 112749-112749
Closed Access | Times Cited: 1
SeqInfo-SAWGAN-GP: Adaptive feature extraction from vibration time data under variable operating conditions for imbalanced bearing fault diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
Measurement (2024), pp. 116344-116344
Closed Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Seqinfo-Sawgan-Gp: Adaptive Feature Extraction from Vibration Time Data Under Variable Rotating Speeds for Imbalanced Bearing Fault Diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
(2024)
Closed Access
A Multi-task Learning Method for Few-Shot Fault Diagnosis Based on Metric Learning
Guang Yang, Zong Meng
Mechanisms and machine science (2024), pp. 271-280
Closed Access
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