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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:

A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
Xiongyan Yang, Tianyi Ye, Xianfeng Yuan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7820-7831
Closed Access | Times Cited: 20

Showing 20 citing articles:

Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation
Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, et al.
Expert Systems with Applications (2025), pp. 126423-126423
Closed Access
A Cross-Domain Online Diagnosis Framework Under Small Fault Sample
Zhiyu Chen, Dongdong Zhang, Zuoyi Chen, et al.
(2025)
Closed Access
Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis
Yansong Zhang, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103113-103113
Closed Access
Research on Cross-Domain Generative Diagnosis for Oil and Gas Pipeline Defect Based on Limited Field Data
Junming Yao, Wei Liang, Zhongmin Xiao
Energy (2025), pp. 135086-135086
Closed Access
A global information-guided denoising diffusion probabilistic model for fault diagnosis with imbalanced data
Yang Han, Yan Song, Daichao Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110312-110312
Closed Access
Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks
Xueyi Li, Xudong Wu, Tianyang Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110410-110410
Closed Access
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data
Alex X. Wang, Minh Quang Le, H. T. Duong, et al.
Knowledge and Information Systems (2025)
Open Access
Bearing fault diagnostic framework under unknown working conditions based on condition-guided diffusion model
Zhibin Guo, Lefei Xu, Yuhao Zheng, et al.
Measurement (2024) Vol. 242, pp. 115951-115951
Closed Access | Times Cited: 2
Parameter Sharing Fault Data Generation Method Based on Diffusion Model Under Imbalance Data
Z. J. Xiao, C. Li, Tao Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106111-106111
Closed Access | Times Cited: 1
Advances and Challenges in the Hunting Instability Diagnosis of High-Speed Trains
Jiayi Liang, Jianfeng Sun, Yonghua Jiang, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5719-5719
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
A novel digital twin method based on diffusion models for imbalanced fault diagnosis of rotating machinery
Zeyu Jiang, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access | Times Cited: 1
‘Golden Ratio Yoshimura’ for meta-stable and massively reconfigurable deployment
Vishrut Deshpande, Yogesh Phalak, Ziyang Zhou, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 382, Iss. 2283
Open Access | Times Cited: 1
A survey on confidence calibration of deep learning under class imbalance data
Jinzong Dong, Zhaohui Jiang, Dong Pan, et al.
(2024)
Open Access
Fractional Diversity Entropy: A Vibration Signal Measure to Assist a Diffusion Model in the Fault Diagnosis of Automotive Machines
Baohua Wang, Jiacheng Zhang, Weilong Wang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3155-3155
Open Access
A Semi-supervised Intelligent Fault Diagnosis Method for Bearings under Low Labeled Rates
Tianyi Ye, Xianfeng Yuan, Xilin Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access
A fault diagnosis method based on an improved diffusion model under limited sample conditions
Qiushi Wang, Zhicheng Sun, Yueming Zhu, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0309714-e0309714
Open Access
A Globally Optimized Fault Diagnosis Model Based on Generative Flow Model for Imbalanced Data
Junxiong Li, Wenhua Jiao, Yudou Xiong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016025-016025
Closed Access
A network traffic data generation model based on AOT-DDPM for abnormal traffic detection
Xingyu Gong, S.H. Chen, Na Li
Evolving Systems (2024) Vol. 16, Iss. 1
Closed Access
An improved supervised contrastive learning with denoising diffusion probabilistic model for fault detection in industrial processes
Daye Li, Jie Dong, Kaixiang Peng, et al.
Process Safety and Environmental Protection (2024) Vol. 194, pp. 350-359
Closed Access
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