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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:

Multi-Scale Cluster-Graph Convolution Network With Multi-Channel Residual Network for Intelligent Fault Diagnosis
Kuangchi Sun, Zhenfeng Huang, Hanling Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-12
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 67
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33
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
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Yadong Xu, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110609-110609
Closed Access | Times Cited: 29
A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling Bearing
Peizhe Yin, Jie Nie, Xinyue Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 24
Domain distribution variation learning via adversarial adaption for helicopter transmission system fault diagnosis
Kuangchi Sun, Aijun Yin, Shiao Lu
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111419-111419
Closed Access | Times Cited: 11
Intelligent fault diagnosis method for rotating machinery based on sample multirepresentation information fusion under limited labeled samples conditions
Xin Yang, Xinsheng Cao, Jiangbin Zhao, et al.
Measurement (2025), pp. 117164-117164
Closed Access | Times Cited: 1
Motor current signal analysis using hypergraph neural networks for fault diagnosis of electromechanical system
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Measurement (2022) Vol. 201, pp. 111697-111697
Closed Access | Times Cited: 32
A Novel Time-Domain Graph Tensor Attention Network for Specific Emitter Identification
Haozhe Li, Yilin Liao, Wenhai Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 17
Application of an Oversampling Method Based on GMM and Boundary Optimization in Imbalance-Bearing Fault Diagnosis
Zhenya Wang, Tao Liu, Xing Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1931-1940
Closed Access | Times Cited: 16
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment
Liqiao Xia, Yongshi Liang, Pai Zheng, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 22
A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network
Zhiwu Shang, Jie Zhang, Wanxiang Li, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 5, pp. 6377-6407
Closed Access | Times Cited: 14
Vibration Signal-Based Fusion Residual Attention Model for Power Transformer Fault Diagnosis
Yazhong Zhou, Yigang He, Zhikai Xing, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 17231-17242
Closed Access | Times Cited: 5
DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time–Frequency Data Fusion
Hongjun Duan, Guorong Chen, Yuan Yu, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 810-810
Open Access
DTI-BGCGCN: A Novel Bipartite Graph-based Cluster Graph Convolutional Network for Drug-Target Interaction Prediction in Modern and Traditional Chinese Medicine
Hongmei Wang, Ming Xu, Zhitong Guo, et al.
Computational Biology and Chemistry (2025) Vol. 117, pp. 108410-108410
Closed Access
Reweighted periodic overlapping group lasso for impulsive feature extraction and its application to spiral bevel gear local fault diagnosis
Keyuan Li, Junjiang Liu, Zhibin Zhao, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112572-112572
Closed Access
A Fault Diagnosis Method for Rotating Machinery With Semi-Supervised Graph Convolutional Network and Images Converted From Vibration Signals
Xianling Li, Hao Hu, Shichao Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11946-11955
Closed Access | Times Cited: 12
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: 4
Time graph sub-domain adaption adversarial for fault diagnosis
Kuangchi Sun, Aijun Yin, Shiao Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055004-055004
Closed Access | Times Cited: 4
A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion
Guangxing Niu, Enhui Liu, Xuan Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 864-872
Closed Access | Times Cited: 9
Multi-Sensor Temporal-Spatial Graph Network Fusion Empirical Mode Decomposition Convolution for Machine Fault Diagnosis
Kuangchi Sun, Aijun Yin
Information Fusion (2024), pp. 102708-102708
Closed Access | Times Cited: 3
Fault Diagnosis of Conventional Circuit Breaker Accessories Based on Grayscale Image of Current Signal and Improved ZFNet-DRN
Shuguang Sun, Liang Sun, Jingqin Wang, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 1343-1356
Closed Access | Times Cited: 15
A Multichannel MN-GCN for Wheelset-Bearing System Fault Diagnosis
Zonghao Yuan, Zengqiang Ma, Xin Li, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 3, pp. 2481-2494
Closed Access | Times Cited: 14
Multiscale Margin Disparity Adversarial Network Transfer Learning for Fault Diagnosis
Kuangchi Sun, Zhenfeng Huang, Hanling Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
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