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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:

Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad Taghi Hamidi Beheshti, et al.
Neurocomputing (2022) Vol. 517, pp. 44-61
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A CNN-BiLSTM model with attention mechanism for earthquake prediction
Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 17, pp. 19194-19226
Open Access | Times Cited: 64
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Bin Yang, Yaguo Lei, Xiang Li, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122997-122997
Closed Access | Times Cited: 55
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
Bin Yang, Yaguo Lei, Xiang Li, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 932-945
Closed Access | Times Cited: 23
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 16
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access | Times Cited: 2
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Mohammadreza Kavianpour, Amin Ramezani, Mohammad Taghi Hamidi Beheshti
Measurement (2022) Vol. 199, pp. 111536-111536
Closed Access | Times Cited: 41
Simulation-Driven Subdomain Adaptation Network for bearing fault diagnosis with missing samples
Jianing Liu, Hongrui Cao, Shuaiming Su, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106201-106201
Closed Access | Times Cited: 31
On the effects of data normalization for domain adaptation on EEG data
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106205-106205
Open Access | Times Cited: 26
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: 25
ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102610-102610
Closed Access | Times Cited: 10
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access | Times Cited: 1
Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples
Beijia Zhao, Dongsheng Yang, Hamid Reza Karimi, et al.
Neurocomputing (2023) Vol. 560, pp. 126803-126803
Closed Access | Times Cited: 21
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
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
Shuhui Wang, Yaguo Lei, Bin Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107071-107071
Closed Access | Times Cited: 20
Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network
Zhiwen Huang, Weidong Li, Jianmin Zhu, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 406-423
Closed Access | Times Cited: 19
An efficient method for bearing fault diagnosis
G Geetha, P. Geethanjali
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
Aobo Yu, Bolin Cai, Qiujie Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110181-110181
Closed Access | Times Cited: 7
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Zhang Yong, Songzhao Zhang, Yuhao Zhu, et al.
ISA Transactions (2024) Vol. 152, pp. 129-142
Closed Access | Times Cited: 6
Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm
Weijie Shen, Maohua Xiao, Zhenyu Wang, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6645-6645
Open Access | Times Cited: 14
Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation
Wei Wang, Zhun Zhong, Weijie Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 24090-24099
Open Access | Times Cited: 13
A domain adversarial graph convolutional network for intelligent monitoring of tool wear in machine tools
Kai Li, Zhou-Long Li, Xianshi Jia, et al.
Computers & Industrial Engineering (2023) Vol. 187, pp. 109795-109795
Closed Access | Times Cited: 13
Rolling Element Bearing Fault Diagnosis Based on Multi-objective Optimized Deep Auto-encoder
Xiaoxin Chang, Shaopu Yang, Shaohua Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096007-096007
Closed Access | Times Cited: 5
Deep conditional adversarial subdomain adaptation network for unsupervised mechanical fault diagnosis
Guiping Chen, Dong Xiang, Tingting Liu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112180-112180
Closed Access | Times Cited: 5
Unsupervised graph transfer network with hybrid attention mechanisms for fault diagnosis under variable operating conditions
Zihao Lei, Feiyu Tian, Yu Su, et al.
Reliability Engineering & System Safety (2024), pp. 110684-110684
Closed Access | Times Cited: 5
A Multi-Gradient Hierarchical Domain Adaptation Network for transfer diagnosis of bearing faults
Jun Chen, Hui Liu
Expert Systems with Applications (2023) Vol. 225, pp. 120139-120139
Closed Access | Times Cited: 11
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