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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:

Bearing fault diagnosis method based on a multi-head graph attention network
Li Jiang, Xingjie Li, Lin Wu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075012-075012
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

A recursive multi-head graph attention residual network for high-speed train wheelset bearing fault diagnosis
Zonghao Yuan, Xin Li, Suyan Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065108-065108
Closed Access | Times Cited: 6
Robust rotating machinery diagnosis using a dynamic-weighted graph updating strategy
Xin Zhang, Youmin Hu, Jie Liu, et al.
Measurement (2022) Vol. 202, pp. 111895-111895
Closed Access | Times Cited: 10
MSGAFN: Multi-scale graph attention fusion network for machine fault diagnosis
Peihao Ni, Yuanyuan Zhang, Xiaoyun Xiong, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 15, pp. 7894-7907
Closed Access | Times Cited: 1
Mechanical Fault Diagnosis of High-Voltage Circuit Breakers with Dynamic Multi-Attention Graph Convolutional Networks Based on Adaptive Graph Construction
Guoqing Sui, Jing Yan, Yanze Wu, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4036-4036
Open Access | Times Cited: 1
Fault detection using Graph Neural Differential Auto-encoders (GNDAE)
Umang Goswami, Hariprasad Kodamana, Manojkumar Ramteke
Computers & Chemical Engineering (2024) Vol. 189, pp. 108775-108775
Closed Access | Times Cited: 1
Improved GNN based on Graph-Transformer: A new framework for rolling mill bearing fault diagnosis
Dongxiao Hou, Bo Zhang, Jiahui Chen, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 1
Polynomial Improved Convolution Kernel Graph Network For Fault Diagnosis
Huang Zhang, Zili Wang, Lemiao Qiu, et al.
(2023), pp. 15-19
Closed Access | Times Cited: 2
A fusion non-convex group sparsity difference method and its application in rolling bearing fault diagnosis
Huiyong Wei, Gaigai Cai, Zeyu Liu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025123-025123
Closed Access | Times Cited: 2
A Fault Diagnosis Method for Bearings and Gears in Rotating Machinery Based on Data Fusion and Transfer Learning
Yi Zhang, Xiaoxiang Yan, Ping Xiao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016104-016104
Closed Access
Multi-view graph convolutional networks based on multi-source information fusion for mechanical fault diagnosis
Shanshan Song, Shuqing Zhang, Xiang Wu
Structural Health Monitoring (2024)
Closed Access
A multi-scale graph pyramid attention network with knowledge distillation towards edge computing robotic fault diagnosis
Chong Chen, Tao Wang, Dong Mao, et al.
Expert Systems with Applications (2024), pp. 125469-125469
Closed Access
Research on Chebyshev Graph Convolutional Neural Network Modeling Method for Rotating Equipment Fault Diagnosis under Variable Working Conditions
Jige Liao, Yaohua Deng, Xiaobo Xie, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9208-9208
Open Access
Metrological parameter planning method based on a multi-head sparse graph attention network for airborne products
Shengjie Kong, Xiang Huang, Shuanggao Li, et al.
Measurement (2024) Vol. 242, pp. 116149-116149
Closed Access
Fault diagnosis of rolling bearings under variable operating conditions based on improved graph neural networks
Guochao Chang, Chang Liu, Bingbing Fan, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045231-045231
Closed Access
A Novel Directed Graph Convolutional Neural Network for Rolling Bearings in Fault Diagnosis
Shoupeng Gao, Yueyang Li, Dong Zhao
2021 IEEE International Conference on Unmanned Systems (ICUS) (2023), pp. 1207-1212
Closed Access | Times Cited: 1
Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis
Yunhan Ling, Dianyu Fu, Peng Jiang, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 5, pp. 858-870
Closed Access
Bearing Fault Diagnosis Based on Auto-Encoder Combined with CNN
Fei Yuan, Panpan Xun, Sheng Wang, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
Contrastive Learning Based Fault Diagnosis of Motor with Multi-Modal Feature Fusion
Hao Liu, Zhenxing Liu, Zhen Luo, et al.
2021 China Automation Congress (CAC) (2023), pp. 2486-2491
Closed Access
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