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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:

Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives
Tongyang Pan, Jinglong Chen, Tianci Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 1-10
Closed Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

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
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102027-102027
Closed Access | Times Cited: 98
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
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: 70
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 47
Fault diagnosis of the hydraulic valve using a novel semi-supervised learning method based on multi-sensor information fusion
Qi Zhong, Enguang Xu, Yan Shi, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110093-110093
Closed Access | Times Cited: 41
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
A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model
Chuanjiang Li, Kai Luo, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23239-23254
Closed Access | Times Cited: 28
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
TRA-ACGAN: A motor bearing fault diagnosis model based on an auxiliary classifier generative adversarial network and transformer network
Zhaoyang Fu, Zheng Liu, Shuangrui Ping, et al.
ISA Transactions (2024) Vol. 149, pp. 381-393
Closed Access | Times Cited: 21
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Chuanbo Wen, Yipeng Xue, Weibo Liu, et al.
Neurocomputing (2024) Vol. 576, pp. 127355-127355
Closed Access | Times Cited: 19
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
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
Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine
Venish Suthar, Vinay Vakharia, Vivek Patel, et al.
Machines (2022) Vol. 11, Iss. 1, pp. 29-29
Open Access | Times Cited: 44
Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants
Gensheng Qian, Jingquan Liu
Progress in Nuclear Energy (2022) Vol. 152, pp. 104401-104401
Closed Access | Times Cited: 40
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
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
Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing 5.0
Jing Yang, Yutong Wang, Xingxia Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 11, pp. 6522-6536
Closed Access | Times Cited: 13
Generative adversarial networks for prognostic and health management of industrial systems: A review
Qing Li, Yanning Tang, Liying Chu
Expert Systems with Applications (2024) Vol. 253, pp. 124341-124341
Closed Access | Times Cited: 12
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 gradient aligned domain adversarial network for unsupervised intelligent fault diagnosis of gearboxes
Maoqi Ran, Baoping Tang, Peng Sun, et al.
ISA Transactions (2024) Vol. 148, pp. 461-476
Closed Access | Times Cited: 7
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
Fault diagnosis based on conditional generative adversarial networks in nuclear power plants
Gensheng Qian, Jingquan Liu
Annals of Nuclear Energy (2022) Vol. 176, pp. 109267-109267
Closed Access | Times Cited: 31
A meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy
Tongyang Pan, Sui Zhang, Fudong Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110271-110271
Closed Access | Times Cited: 21
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