Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 51-75 of 133 citing articles:

Fault diagnosis of photovoltaic arrays with different degradation levels based on cross-domain adaptive generative adversarial network
Peijie Lin, Feng Guo, Yaohai Lin, et al.
Applied Energy (2025) Vol. 386, pp. 125578-125578
Closed Access
A pruning-aware dynamic slimmable network using meta-gradients for high-speed train bogie bearing fault diagnosis
Jingsong Xie, S. Cao, Tongyang Pan, et al.
ISA Transactions (2025)
Closed Access
Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios
Haoze Wu, Shisheng Zhong, Minghang Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103297-103297
Closed Access
Classification of multi-type bearing fault features based on semi-supervised generative adversarial network (GAN)
Xiao Li, Feng‐Liang Zhang
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025107-025107
Closed Access | Times Cited: 12
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 hierarchical adversarial multi-target domain adaptation for gear fault diagnosis under variable working condition based on raw acoustic signal
Yong Yao, Qiuyi Chen, Gui Gui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106449-106449
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
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
Tackling the small data problem in medical image classification with artificial intelligence: a systematic review
Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro, et al.
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 3
Application of domain-adaptive convolutional variational autoencoder for stress-state prediction
Sang Min Lee, Sang-Youn Park, Byoung‐Ho Choi
Knowledge-Based Systems (2022) Vol. 248, pp. 108827-108827
Closed Access | Times Cited: 17
Enhanced generative adversarial networks for bearing imbalanced fault diagnosis of rotating machinery
Yandong Hou, Jiulong Ma, Jinjin Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25201-25215
Closed Access | Times Cited: 10
A Fault Diagnosis Method Based on an Improved Deep Q-Network for the Interturn Short Circuits of a Permanent Magnet Synchronous Motor
Y. G. Li, Ruiqi Wang, Runze Mao, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 3870-3887
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
Deep Learning: A Overview of Theory and Architectures
Hossein Shahinzadeh, Arezou Mahmoudi, Amirhosein Asilian, et al.
(2024)
Closed Access | Times Cited: 3
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 3
A global and joint knowledge distillation method with gradient-modulated dynamic parameter adaption for EMU bogie bearing fault diagnosis
Tongyang Pan, Tiantian Wang, Jinglong Chen, et al.
Measurement (2024) Vol. 235, pp. 114927-114927
Closed 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
Pseudo-label assisted semi-supervised adversarial enhancement learning for fault diagnosis of gearbox degradation with limited data
Xin Chen, Zaigang Chen, Liang Guo, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112108-112108
Closed Access | Times Cited: 3
Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN
Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5413-5413
Open Access | Times Cited: 15
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
WVD‐GAN: A Wigner‐Ville distribution enhancement method based on generative adversarial network
Daying Quan, Feitao Ren, Xiaofeng Wang, et al.
IET Radar Sonar & Navigation (2024) Vol. 18, Iss. 6, pp. 849-865
Open Access | Times Cited: 2
Fault identification of product design using fuzzy clustering generative adversarial network (FCGAN) model
Yuyang Wang, Qiaowei Xue
Soft Computing (2024) Vol. 28, Iss. 4, pp. 3725-3742
Closed Access | Times Cited: 2
Transferring damage detection knowledge across rotating machines and framed structures: Harnessing domain adaptation and contrastive learning
Roksana Soleimani-Babakamali, Mohammad Hesam Soleimani‐Babakamali, Mohammad Ali Heravi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111743-111743
Open Access | Times Cited: 2
Cross-domain data fusion generation: A novel composite label-guided generative solution for adaptation diagnosis
Tian Zhang, Jing Lin, Jinyang Jiao, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112284-112284
Closed Access | Times Cited: 2
A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions
Ruiqi Liu, Wengang Ma, Feipeng Kuang, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112443-112443
Closed Access | Times Cited: 2

Scroll to top