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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:

An improved multi-channel graph convolutional network and its applications for rotating machinery diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Measurement (2022) Vol. 190, pp. 110720-110720
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Toward cognitive predictive maintenance: A survey of graph-based approaches
Liqiao Xia, Pai Zheng, Xinyu Li, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 107-120
Closed Access | Times Cited: 101
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Xin Zhang, Xi Zhang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106601-106601
Closed Access | Times Cited: 46
Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model
Kai Liu, Guangbo Nie, Shibo Jiao, et al.
Measurement (2024) Vol. 237, pp. 114999-114999
Closed Access | Times Cited: 19
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101648-101648
Closed Access | Times Cited: 42
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102088-102088
Closed Access | Times Cited: 30
Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102206-102206
Closed Access | Times Cited: 30
A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox
Zixu Chen, Jinchen Ji, Wennian Yu, et al.
Measurement (2024) Vol. 230, pp. 114497-114497
Closed Access | Times Cited: 10
Latest innovations in the field of condition-based maintenance of rotatory machinery: a review
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022003-022003
Closed Access | Times Cited: 21
Intelligent fault diagnosis of rotating machinery under varying working conditions with global–local neighborhood and sparse graphs embedding deep regularized autoencoder
Zejin Sun, Youren Wang, Jiahao Gao
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106590-106590
Closed Access | Times Cited: 18
Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information
Xiangqu Xiao, Chaoshun Li, Hongxiang He, et al.
Information Fusion (2024) Vol. 113, pp. 102621-102621
Closed Access | Times Cited: 7
A Novel Hierarchical Vision Transformer and Wavelet Time–Frequency Based on Multi-Source Information Fusion for Intelligent Fault Diagnosis
Changfen Gong, Rongrong Peng
Sensors (2024) Vol. 24, Iss. 6, pp. 1799-1799
Open Access | Times Cited: 6
A Novel Spiking Graph Attention Network for Intelligent Fault Diagnosis of Planetary Gearboxes
Shunxin Cao, Hongkun Li, Kongliang Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13140-13154
Closed Access | Times Cited: 13
An improved graph convolutional networks for fault diagnosis of rolling bearing with limited labeled data
Xiangqu Xiao, Chaoshun Li, Jie Huang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 13
Multirelational Fusion Graph Convolution Network With Multiscale Residual Network for Fault Diagnosis of Complex Industrial Processes
Yinghua Han, Siwei Tuo, Yuan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 5
Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-Temporal Difference Graph Convolutional Network
Zhaoming Miao, Yingxiang Xia, Fengyu Zhou, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 7055-7065
Closed Access | Times Cited: 21
A Novel Structural Damage Detection Method via Multisensor Spatial–Temporal Graph-Based Features and Deep Graph Convolutional Network
Pengming Zhan, Xianrong Qin, Qing Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 12
A meta-path graph-based graph homogenization framework for machine fault diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105960-105960
Closed Access | Times Cited: 12
Monitoring industrial control systems via spatio-temporal graph neural networks
Yue Wang, Hao Peng, Gang Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106144-106144
Closed Access | Times Cited: 12
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
Zixu Chen, Wennian Yu, Liming Wang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110918-110918
Closed Access | Times Cited: 11
A novel weighted sparsity index based on multichannel fused graph spectra for machine health monitoring
Kaifan Zhang, Jing Yuan, Huiming Jiang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111417-111417
Closed Access | Times Cited: 4
A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin
Xiaofeng Wang, Jihong Yan, Xun Xu
Journal of Manufacturing Systems (2025) Vol. 79, pp. 455-465
Closed Access
SIGTN: A Novel Structural Infomax Graph Transfer Networks for Rotating Machinery Fault Diagnosis in Cross-Condition and Cross-Equipment Scenarios
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Reliability Engineering & System Safety (2025), pp. 110898-110898
Closed Access
A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
Tianao Zhang, Li Jiang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110228-110228
Closed Access
Steel structural damage identification based on multisensor same-class graph and GraphSAGE network
Qi Liu, Jiaxing Wang, Hualin Dai, et al.
Structures (2025) Vol. 74, pp. 108388-108388
Closed Access
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