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:

ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12

Showing 12 citing articles:

Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2
Multi-Patch Time Series Transformer for Robust Bearing Fault Detection with Varying Noise
Sangkeun Ko, Suan Lee
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1257-1257
Open Access
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
Memory-Augmented Prototypical Meta-Learning Method for Bearing Fault Identification under Few-Sample Conditions
Xianze Li, Zhitai Xing, Ling Xiang, et al.
Neurocomputing (2025), pp. 129996-129996
Closed Access
Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
Zuowei Ping, Dewen Wang, Yong Zhang, et al.
Neurocomputing (2025), pp. 129327-129327
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
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
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
Zihao Lei, Shuaiqing Deng, Yu Su, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
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
A Novel Detection and Classification Framework for Diagnosing of Cerebral Microbleeds Using Transformer and Language
Cong Chen, Linlin Zhao, Lang Qin, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 993-993
Open Access
Page 1

Scroll to top