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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: 61
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: 53
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: 20
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: 15
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: 29
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: 24
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: 22
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
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: 20
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: 19
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: 18
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: 17
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
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
Adversarial domain adaptation with norm constraints for enhanced fault diagnosis in pumping units via surface motor power
Jiye Zuo, Shuqiang Wang, Shimin Dong, et al.
Control Engineering Practice (2025) Vol. 157, pp. 106265-106265
Closed Access
Fault Warning Study of Gearbox Based on Som-Astgcn-Bilstm and Mutual Diagnosis of Same Clustered Wind Turbines
Bo Gu, Hongtao Zhang, Shuai Yue, et al.
(2025)
Closed Access
GTAT: empowering graph neural networks with cross attention
Jiahao Shen, Qura Tul Ain, Yaohua Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fault Location Algorithm for Distribution Network With Distributed Generation Based on Domain‐Adaptive TGATv2
Tong Lu, S. Hou
IET Generation Transmission & Distribution (2025) Vol. 19, Iss. 1
Open Access
An unsupervised subdomain adaptation of cross-domain remaining useful life prediction for sensor-equipped equipments
Jianhai Yan, Zhen He, Shuguang He, et al.
Computers & Industrial Engineering (2025), pp. 110967-110967
Closed Access
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
Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4
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: 4
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