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:

An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network
Zong Meng, Qian Li, Dengyun Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19543-19555
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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
Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis
Qixiang Zhang, Rui Yuan, Yong Lv, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7514-7524
Open Access | Times Cited: 26
Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
Mdrs-Gan: A Multi-Scale Dense Residual Shrinkage Generative Adversarial Network for Rotating Machinery Fault Diagnosis Under Limited Data
Tongqiang Yi, Jiang Guo, Fang Yuan, et al.
(2025)
Closed Access
Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis
Jong Moon Ha, Olga Fink
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110680-110680
Open Access | Times Cited: 14
A novel fault diagnosis approach of rolling bearing using intrinsic feature extraction and CBAM-enhanced InceptionNet
Shijie Xu, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105111-105111
Closed Access | Times Cited: 13
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
Data Augmentation Fault Diagnosis Method Based on Residual Mixed Self-Attention for Rolling Bearings Under Imbalanced Samples
Jiuyuan Huo, Chenbo Qi, Chaojie Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 11
Hybrid Data Augmentation Combining Screening-Based MCGAN and Manual Transformation for Few-Shot Tool Wear State Recognition
Yu Quan, Changfu Liu, Zhuang Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12186-12196
Closed Access | Times Cited: 3
Shift-Invariant Sparse Filtering for Bearing Weak Fault Signal Denoising
Rui Wang, Xiaoxi Ding, Dong He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26096-26106
Closed Access | Times Cited: 9
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
Unsupervised transfer learning for fault diagnosis across similar chemical processes
Ruoshi Qin, Feiya Lv, Huawei Ye, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1011-1027
Closed Access | Times Cited: 3
Early Fault Classification in Rotating Machinery With Limited Data Using TabPFN
L. Magadán, José Roldán-Gómez, Juan C. Granda, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30960-30970
Open Access | Times Cited: 8
Image Enhancement Based on Dual-Branch Generative Adversarial Network Combining Spatial and Frequency Domain Information for Imbalanced Fault Diagnosis of Rolling Bearing
Yuguang Huang, Bin Wen, Weiqing Liao, et al.
Symmetry (2024) Vol. 16, Iss. 5, pp. 512-512
Open Access | Times Cited: 2
A novel semi-supervised learning rolling bearing fault diagnosis method based on SNNGAN
Zhi Qiu, Shanfei Fan, Haibo Liang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086135-086135
Closed Access | Times Cited: 2
Multi-Mode Data Generation and Fault Diagnosis of Bearings Based on STFT-SACGAN
Hongxing Wang, Hua Zhu, Huafeng Li
Electronics (2023) Vol. 12, Iss. 8, pp. 1910-1910
Open Access | Times Cited: 6
In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD
Bingchen Liu, Hongtao Xue, Dianyong Ding, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4021-4021
Open Access | Times Cited: 5
Imbalanced Chemical Process Fault Diagnosis Using Balancing GAN With Active Sample Selection
Peng Peng, Hanrong Zhang, Xinyue Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14826-14833
Closed Access | Times Cited: 4
Rolling bearing fault diagnosis in electric motors based on IDIG-GAN under small sample condition
Xiangjin Song, Zhicheng Liu, Zhaowei Wang
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106105-106105
Open Access | Times Cited: 1
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-level semantic information guided image generation for few-shot steel surface defect classification
Liang Hao, Pei Kang Shen, Zhiwei Pan, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 2
Discriminative Stacked Autoencoder: Feature-Integration Boosting for Bearing Fault Diagnosis
Shiya Liu, Jun He, Zhiwen Chen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27549-27558
Closed Access | Times Cited: 2
Small-sample fault diagnosis study of rolling bearings based on a residual parameterised convolutional capsule network
Jingxuan Chai, Xiaoqiang Zhao, Jie Cao
Insight - Non-Destructive Testing and Condition Monitoring (2024) Vol. 66, Iss. 4, pp. 215-225
Closed Access
Page 1 - Next Page

Scroll to top