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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:

Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks
Jinrui Wang, Shunming Li, Baokun Han, et al.
IEEE Access (2019) Vol. 7, pp. 111168-111180
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
Behnoush Rezaeianjouybari, Yi Shang
Measurement (2020) Vol. 163, pp. 107929-107929
Closed Access | Times Cited: 231
A Survey of Predictive Maintenance: Systems, Purposes and Approaches
Yongyi Ran, Xin Zhou, Pengfeng Lin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 176
Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples
Mingzhi Chen, Haidong Shao, Haoxuan Dou, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 3, pp. 1029-1037
Open Access | Times Cited: 129
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 126
Fault Detection in Gears Using Fault Samples Enlarged by a Combination of Numerical Simulation and a Generative Adversarial Network
Yun Gao, Xiaoyang Liu, Jiawei Xiang
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 5, pp. 3798-3805
Closed Access | Times Cited: 109
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Wengang Ma, Yadong Zhang, Liang Ma, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120084-120084
Closed Access | Times Cited: 44
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, et al.
Computer Networks (2021) Vol. 194, pp. 108149-108149
Open Access | Times Cited: 81
Generative Adversarial Networks With Comprehensive Wavelet Feature for Fault Diagnosis of Analog Circuits
Wei He, Yigang He, Bing Li
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 9, pp. 6640-6650
Closed Access | Times Cited: 78
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
Liang Ma, Yu Ding, Zili Wang, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115234-115234
Closed Access | Times Cited: 61
End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets
Song-Yu Han, Haidong Shao, Zhiqiang Huo, et al.
Building and Environment (2022) Vol. 212, pp. 108821-108821
Closed Access | Times Cited: 39
Understanding GANs: fundamentals, variants, training challenges, applications, and open problems
Zeeshan Ahmad, Zain ul Abidin Jaffri, Meng Chen, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 11
Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Luca Biggio, Iason Kastanis
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 69
Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks
Hongliang Zhang, Rui Wang, Ruilin Pan, et al.
IEEE Access (2020) Vol. 8, pp. 185950-185963
Open Access | Times Cited: 50
Sparse dictionary learning based adversarial variational auto-encoders for fault identification of wind turbines
Xiaobo Liu, Wei Teng, Shiming Wu, et al.
Measurement (2021) Vol. 183, pp. 109810-109810
Closed Access | Times Cited: 41
Generative adversarial networks and their application to 3D face generation: A survey
Mukhiddin Toshpulatov, Wookey Lee, Suan Lee
Image and Vision Computing (2021) Vol. 108, pp. 104119-104119
Closed Access | Times Cited: 40
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Machine fault detection methods based on machine learning algorithms: A review
Giuseppe Ciaburro
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 11, pp. 11453-11490
Open Access | Times Cited: 28
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 17
Talking human face generation: A survey
Mukhiddin Toshpulatov, Wookey Lee, Suan Lee
Expert Systems with Applications (2023) Vol. 219, pp. 119678-119678
Open Access | Times Cited: 16
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 Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery
Qianjun Liu, Guijun Ma, Cheng Cheng
IEEE Access (2020) Vol. 8, pp. 70111-70124
Open Access | Times Cited: 49
A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines
Jianjun Shen, Shihao Li, Feng Jia, et al.
IEEE Access (2020) Vol. 8, pp. 113557-113566
Open Access | Times Cited: 45
Hierarchical deep convolution neural networks based on transfer learning for transformer rectifier unit fault diagnosis
Shuwen Chen, Hongjuan Ge, Li Huang, et al.
Measurement (2020) Vol. 167, pp. 108257-108257
Closed Access | Times Cited: 40
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
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