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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:

A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis
Jingyan Xia, Ruyi Huang, Zhuyun Chen, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109542-109542
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

The amplitude modulation bispectrum: A weak modulation features extracting method for bearing fault diagnosis
Miaorui Yang, Kun Zhang, Zhipeng Sheng, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110241-110241
Closed Access | Times Cited: 22
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
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
Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis
Bin Pang, Qiuhai Liu, Zhenli Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102620-102620
Closed Access | Times Cited: 11
Addressing Class-Imbalanced Learning in Real-Time Aero-Engine Gas-Path Fault Diagnosis via Feature Filtering and Mapping
Zengbu Liao, Keyi Zhan, Hang Zhao, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110189-110189
Closed Access | Times Cited: 7
Digital twin-driven prognostics and health management for industrial assets
Bin Xiao, Jingshu Zhong, Xiangyu Bao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
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
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 7
Generalized reassigning transform: algorithm and applications
Dezun Zhao, Xiaofan Huang, Tianyang Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110677-110677
Closed Access | Times Cited: 7
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
Research on digital twin based sealing mechanism of liquid swivel spring energized seal ring
Yu Yang, Gao Ruilong, Baolei Zhang, et al.
Geoenergy Science and Engineering (2025), pp. 213696-213696
Closed Access
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
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Applied Soft Computing (2025), pp. 113053-113053
Closed Access
Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects
Hanlin Guan, Yan Ren, Hesheng Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 082001-082001
Closed Access | Times Cited: 4
Evaluating the Reliability of Machine-Learning-based Predictions used in Nuclear Power Plant Instrumentation and Control Systems
Edward Chen, Han Bao, Nam Dinh
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110266-110266
Closed Access | Times Cited: 4
STDM: A new two-stage degradation model for Remaining useful life prediction
Zhuotao Xu, Zhijian Wang, Yanfeng Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112372-112372
Closed Access
SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis
Yu Guo, Xiangyu Li, Jundong Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110854-110854
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
Closed Access
Overview: Application Status and Prospects of Digital Twin Technology in Mechanical Cutting Processing
Xin Li, Gao Hanjun, Chen Xioman, et al.
Journal of Industrial Information Integration (2025), pp. 100822-100822
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
Synergistic Integration of Digital Twins and Neural Networks for Advancing Optimization in the Construction Industry: A Comprehensive Review
Alexey Borovkov, Khristina Maksudovna Vafaeva, Nikolai Vatin, et al.
Construction Materials and Products (2024) Vol. 7, Iss. 4, pp. 7-7
Closed Access | Times Cited: 3
AI-Enabled Industrial Equipment Monitoring, Diagnosis and Health Management
Zhuyun Chen, Haidong Shao, Te Han, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 050102-050102
Closed Access | Times Cited: 2
Fault Diagnosis of Harmonic Drives Using Multimodal Collaborative Meta Network With Severely Missing Modality
Guo Yang, Hui Tao, Kai Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10366-10374
Closed Access | Times Cited: 2
Towards domain shifts: Stream fine-tuning via feed-forward fault data generation for on-board aero-engine gas-path diagnosis
Zengbu Liao, Rui Zhang, Hang Zhao, et al.
Measurement (2024) Vol. 237, pp. 115207-115207
Closed Access | Times Cited: 2
Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis
Menghang Dai, Zhiliang Liu, Jinrui Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110369-110369
Closed Access | Times Cited: 2
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