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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:

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method
Wentao Zhao, Chao Zhang, Jianguo Wang, et al.
IEEE Access (2023) Vol. 11, pp. 48611-48627
Open Access | Times Cited: 16

Showing 16 citing articles:

Big data, machine learning, and digital twin assisted additive manufacturing: A review
Liuchao Jin, Xiaoya Zhai, Kang Wang, et al.
Materials & Design (2024) Vol. 244, pp. 113086-113086
Open Access | Times Cited: 39
Prediction of bearing remaining useful life based on a two-stage updated digital twin
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103123-103123
Closed Access | Times Cited: 4
Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application
Shuguo Hu, Changhe Li, Benkai Li, et al.
Intelligent and sustainable manufacturing (2024) Vol. 1, Iss. 1, pp. 10007-10007
Open Access | Times Cited: 10
RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
Xuejian Yao, Junjun Zhu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035111-035111
Closed Access | Times Cited: 17
Optimizing Milk Pasteurization Diagnosis Through Deep Q-Networks and Digital Twin Technology
Ouahab Kadri, Adel Abdelhadi
International Journal of Web Services Research (2025) Vol. 21, Iss. 1, pp. 1-22
Open Access
Remaining life prediction of bearings based on improved IF-SCINet
Jing Zhang, Chao Zhang, Shuai Xu, et al.
IEEE Access (2024) Vol. 12, pp. 19598-19611
Open Access | Times Cited: 4
Rolling bearing degradation trend prediction based on composite multiscale grey entropy and dynamic particle filter
Li Cheng, Wensuo Ma, Zuobin Gao
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066119-066119
Open Access | Times Cited: 3
A Reinforcement Ensemble Learning Method for Rolling Bearing Fault Diagnosis under Variable Work Conditions
Yanning Li, Yi Zhang, Ruixin Wang, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3323-3323
Open Access | Times Cited: 2
Distributed and trustworthy Digital Twin platform based on blockchain and Web3 technologies
Seyed Mojtaba Hosseini Bamakan, Saeed Banaeian Far
Cyber Security and Applications (2024) Vol. 3, pp. 100064-100064
Open Access | Times Cited: 2
Data and Mechanism Modeling: Residual Life Start–End Determination for Systems With Stable Equilibrium State
Qian Xia, Jiguang Yue, Jichang Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Remaining Useful Life Prediction for Two-Phase Hybrid Deteriorating Lithium-Ion Batteries Using Wiener Process
Xuemiao Cui, Jiping Lu, Yafeng Han
IEEE Access (2024) Vol. 12, pp. 43575-43599
Open Access | Times Cited: 1
RUL Prediction for Piezoelectric Vibration Sensors Based on Digital-Twin and LSTM Network
Chengcheng Fu, Cheng Gao, Weifang Zhang
Mathematics (2024) Vol. 12, Iss. 8, pp. 1229-1229
Open Access | Times Cited: 1
Multimodal imbalanced‐data fault diagnosis method based on a dual‐branch interactive fusion network
Jing He, Ling Yin, Zhenwen Sheng
IET Science Measurement & Technology (2024) Vol. 18, Iss. 7, pp. 373-384
Open Access
Application and research trend of digital twin in measurement technology
Wentao Zhao, Chao Zhang, Jianguo Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 112003-112003
Closed Access
Real-time heat sealing quality analysis of film based on digital twin system
Jun Zhao, Nanyan Shen, Jing Li, et al.
(2024), pp. 83-83
Closed Access
Deep transfer learning in machinery remaining useful life prediction: A systematic review
Gaige Chen, Xianguang Kong, Han Cheng, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012005-012005
Closed Access
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