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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:

A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample
Kaiyu Zhang, Qiang Chen, Jinglong Chen, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107980-107980
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
Haidong Shao, Wei Li, Baoping Cai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9933-9942
Closed Access | Times Cited: 177
Fine-tuning transfer learning based on DCGAN integrated with self-attention and spectral normalization for bearing fault diagnosis
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
Measurement (2023) Vol. 210, pp. 112421-112421
Closed Access | Times Cited: 69
Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 33
Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis
Yunpeng Liu, Hongkai Jiang, Chaoqiang Liu, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109439-109439
Closed Access | Times Cited: 59
Machine fault diagnosis with small sample based on variational information constrained generative adversarial network
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101762-101762
Closed Access | Times Cited: 49
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 29
Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125171-125171
Closed Access | Times Cited: 10
Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review
Diwang Ruan, Xuran Chen, Clemens Gühmann, et al.
Lubricants (2023) Vol. 11, Iss. 2, pp. 74-74
Open Access | Times Cited: 21
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106872-106872
Closed Access | Times Cited: 16
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104169-104169
Closed Access | Times Cited: 5
Fault Diagnosis with Imbalanced Data: A Stable Sample Generation Approach Based on CWGAN-GP Model
Zhihao Liu, Tong Zhang, Yuanxing Huang, et al.
Lecture notes in electrical engineering (2025), pp. 582-590
Closed Access
A comprehensive survey on applications of AI technologies to failure analysis of industrial systems
Siguo Bi, Cong Wang, Bochun Wu, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107172-107172
Closed Access | Times Cited: 14
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery
Zong Meng, Huihui He, Wei Cao, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121058-121058
Closed Access | Times Cited: 14
An Unsupervised Domain Adaptation Method for Intelligent Bearing Fault Diagnosis Based on Signal Reconstruction by Cycle-Consistent Adversarial Learning
Wenying Zhu, Boqiang Shi, Zhipeng Feng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 18477-18485
Closed Access | Times Cited: 12
An Interpretable Latent Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Limited Data
Tian Zhang, Jing Lin, Jinyang Jiao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10354-10365
Closed Access | Times Cited: 4
CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation
Chen Yang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102605-102605
Closed Access | Times Cited: 4
Self-supervised Progressive Learning for Fault Diagnosis under Limited Labeled Data and Varying Conditions
Qiuyu Song, Lidong Yang, Xingxing Jiang, et al.
Neurocomputing (2025), pp. 130126-130126
Closed Access
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Data Augmentation Generated by Generative Adversarial Network for Small Sample Datasets Clustering
Hui Yu, Qiao Feng Wang, Jian Shi
Neural Processing Letters (2023) Vol. 55, Iss. 6, pp. 8365-8384
Closed Access | Times Cited: 5
Mode standardization: A practical countermeasure against mode collapse of GAN-based signal synthesis
Zhenglin Dai, Liping Zhao, Ke Wang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111089-111089
Closed Access | Times Cited: 5
A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion
Wujiu Pan, Yinghao Sun, R. C. H. Cheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125117-125117
Closed Access | Times Cited: 4
Fault Diagnosis Method of Box-Type Substation Based on Improved Conditional Tabular Generative Adversarial Network and AlexNet
Yong Liu, Jialin Zhou, Dong Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3112-3112
Open Access | Times Cited: 1
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Yazhou Zhang, Xiaoqiang Zhao, Haopeng Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7716-7732
Closed Access | Times Cited: 1
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