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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 and transfer-learning-based fault detection for rotating machinery with imbalanced data condition
Jun Li, Yongbao Liu, Qijie Li
Measurement Science and Technology (2021) Vol. 33, Iss. 4, pp. 045103-045103
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
Hongtian Chen, Hao Luo, Biao Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 2969-2983
Open Access | Times Cited: 64
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
A Multi-step ahead photovoltaic power forecasting model based on TimeGAN, Soft DTW-based K-medoids clustering, and a CNN-GRU hybrid neural network
Qing Li, Xinyan Zhang, Tianjiao Ma, et al.
Energy Reports (2022) Vol. 8, pp. 10346-10362
Open Access | Times Cited: 59
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
Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network
Xin Dai, Yi Kang, Fuling Wang, et al.
Measurement (2024) Vol. 238, pp. 115328-115328
Closed Access | Times Cited: 5
Bridging the gap between Industry 4.0 and manufacturing SMEs: A framework for an end-to-end Total Manufacturing Quality 4.0’s implementation and adoption
Badreddine Tanane, Mohand Lounes Bentaha, Baudouin Dafflon, et al.
Journal of Industrial Information Integration (2025), pp. 100833-100833
Open Access
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Bearing fault diagnosis of wind turbines based on dynamic multi-adversarial adaptive network
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 4, pp. 1637-1651
Closed Access | Times Cited: 11
Transfer Learning-motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
Hongtian Chen, Haoyuan Luo, Biao Huang, et al.
(2022)
Open Access | Times Cited: 16
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
A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data
Yan Zhang, W.Y. Liu, Heng Gu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 9, pp. 095007-095007
Closed Access | Times Cited: 15
Small sample fault diagnosis for wind turbine gearbox based on lightweight multiscale convolutional neural network
Yuan Wang, Junnian Wang, Pengcheng Tong
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095111-095111
Closed Access | Times Cited: 8
Monitoring of machining process anomalies in diamond turning of Ti6Al4V alloy using transfer learning-based algorithms
K Manjunath, Suman Tewary, Neha Khatri, et al.
Computers & Industrial Engineering (2023) Vol. 182, pp. 109359-109359
Closed Access | Times Cited: 8
Category-aware dual adversarial domain adaptation model for rolling bearings fault diagnosis under variable conditions
Xingchi Lu, Weiyang Xu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 7
A New Safe-Level Enabled Borderline-SMOTE for Condition Recognition of Imbalanced Dataset
Chao Chen, Wei Shen, Chenhao Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
GAN-Based Generation of Synthetic Data for Vehicle Driving Events
Diego Tamayo-Urgilés, Sandra Sánchez-Gordón, Ángel Leonardo Valdivieso Caraguay, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9269-9269
Open Access | Times Cited: 2
A dual-view network for fault diagnosis in rotating machinery using unbalanced data
Zixu Chen, Wennian Yu, Chengcheng Kong, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115107-115107
Closed Access | Times Cited: 5
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment
Yifei Ding, Minping Jia, Yudong Cao, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1313-1323
Closed Access | Times Cited: 4
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data
Sharon Torao Pingi, Duoyi Zhang, Md Abul Bashar, et al.
Data Science and Engineering (2023) Vol. 9, Iss. 1, pp. 5-25
Open Access | Times Cited: 4
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A Case Study of a Spring Factory
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2913-2913
Open Access | Times Cited: 1
Generative Adversarial Networks in Anomaly Detection and Malware Detection: A Comprehensive Survey
Bishal Kc, S. Sapkota, Ashish Adhikari
Advances in Artificial Intelligence Research (2024) Vol. 4, Iss. 1, pp. 18-35
Open 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
An improved two-stream compression convolution network for rolling bearing fault diagnosis
Hailong Jin, Wuxu Ma, Zong Meng, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125110-125110
Closed Access | Times Cited: 6
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