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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:

Digital Twin Enabled Domain Adversarial Graph Networks for Bearing Fault Diagnosis
Ke Feng, Yadong Xu, Yulin Wang, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 113-122
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 43
Digital twin-based gearbox fault diagnosis using variational mode decomposition and dynamic vibration modeling
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
Measurement (2025) Vol. 246, pp. 116669-116669
Closed Access | Times Cited: 1
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Zhiqiang Zhang, Funa Zhou, Hamid Reza Karimi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107052-107052
Closed Access | Times Cited: 28
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Jingyan Xia, Zhuyun Chen, Jiaxian Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107848-107848
Closed Access | Times Cited: 11
Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data
Jingyan Xia, Ruyi Huang, Jipu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 7
Enhanced fault diagnosis of rolling bearings using an improved inception-lstm network
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 6
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5
Causality-guided fault diagnosis under visual interference in fused deposition modeling
Qian Li, Tingting Huang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110027-110027
Closed Access
A digital twin library of mechanical transmission system for the application of small sample fault diagnosis problem
Xianglong Meng, Tianliang Hu, Jinfeng Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066125-066125
Closed Access | Times Cited: 4
An Intelligent Industrial Visual Monitoring and Maintenance Framework Empowered by Large-scale Visual and Language Models
Huan Wang, Chenxi Li, Yan‐Fu Li, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 166-175
Closed Access | Times Cited: 4
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Xilin Yang, Xianfeng Yuan, Xinxin Yao, et al.
Expert Systems with Applications (2025), pp. 126730-126730
Closed Access
A hybrid probabilistic battery health management approach for robust inspection drone operations
Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110246-110246
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Self-Supervised Defect Representation Learning for Label-Limited Rail Surface Defect Detection
Yanggang Xu, Huan Wang, Zhiliang Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29235-29246
Closed Access | Times Cited: 9
PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions
Minseok Chae, Hyeongmin Kim, Hye Jun Oh, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 3, pp. 337-358
Open Access | Times Cited: 3
A product envelope spectrum generated from spectral correlation/coherence for railway axle-box bearing fault diagnosis
Bingyan Chen, Yao Cheng, Paul Allen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112262-112262
Closed Access | Times Cited: 3
A Digital Twin Development Framework for an Electrical Submersible Pump (ESP)
Mihiran Galagedarage Don, Sampath Liyanarachchi, Thumeera R. Wanasinghe
Archives of Advanced Engineering Science (2024), pp. 1-10
Open Access | Times Cited: 2
Fault Diagnosis for Reducers Based on a Digital Twin
Wei‐Min Liu, Bin Han, Aiyun Zheng, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2575-2575
Open Access | Times Cited: 2
Early-stage electrical fault identification for traction transformers using vibration signals based on dual-attention convolutional network
Jingjian Yang, Gang Zhang, Zhongbei Tian, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 471-483
Closed Access | Times Cited: 2
Neural network-enhanced internal leakage analysis for efficient fault detection in heavy machinery hydraulic actuator cylinders
Gyan Wrat, Prabhat Ranjan, Santosh Kr. Mishra, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Noise Prediction Study of Traction Arc Tooth Cylindrical Gears for New Generation High-Speed Electric Multiple Units
Zhaoping Tang, Zhenyan Chen, Jianping Sun, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 357-357
Open Access | Times Cited: 4
Research on data-driven model for power grid fault diagnosis fusing topological quantification information
Xu Zhang, Zirui Wang, Mingxuan Du, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108286-108286
Closed Access | Times Cited: 1
A semi-supervised learning method based on pseudo-label iterative purification for intelligent fault diagnosis of rolling bearing
Wenbo Yue, L. Zhang, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066013-066013
Closed Access | Times Cited: 1
A feature vector with insensitivity to the position of the outer race defect and its application in rolling bearing fault diagnosis
Jianqun Zhang, Qing Zhang, Wenzong Feng, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
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