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:

A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
Chenze Wang, Han Wang, Min Liu
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1707-1719
Closed Access | Times Cited: 15

Showing 15 citing articles:

Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data
Wenbin Cai, Dezun Zhao, Tianyang Wang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103096-103096
Closed Access | Times Cited: 1

AF-FTTSnet: An end-to-end two-stream convolutional neural network for online quality monitoring of robotic welding
Yuxiang Hong, X. He, Jing Xu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 422-434
Closed Access | Times Cited: 11

Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5

Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext
Chao Zhang, Feifan Qin, Wentao Zhao, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5334-5334
Open Access | Times Cited: 15

A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4

Chemical process fault diagnosis based on bi-level dynamic IndRNN
Yuping Cao, Penghang Li, Xiaogang Deng
Chemical Engineering Science (2025) Vol. 307, pp. 121335-121335
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

Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
Di Yu, H.C. Fu, Yanchen Song, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015013-015013
Closed Access | Times Cited: 12

A multisensory Interaction Framework for Human-Cyber–Physical System based on Graph Convolutional Networks
Wenqian Qi, Chun‐Hsien Chen, Tongzhi Niu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102482-102482
Closed Access | Times Cited: 3

A novel zero-shot learning approach for cross-domain fault diagnosis in high-voltage circuit breakers
Qiuyu Yang, Zhenlin Zhai, Yuyi Lin, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102777-102777
Closed Access | Times Cited: 2

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

Time-segment-wise feature fusion transformer for multi-modal fault diagnosis
Xiaohan Zhang, Han Wang, Chenze Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109358-109358
Closed Access

A framework for process states structural interpretation of zero-defect manufacturing
Zihan Xu, Zhengang Guo, Geng Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102442-102442
Closed Access

A quality detection method of the unbalanced data based on the non‐parameter Log–Log prediction model with the feature extraction
Shuying Wang, Bo Zhao, Chunjie Wang, et al.
Mathematical Methods in the Applied Sciences (2023)
Closed Access

Page 1

Scroll to top