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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:

Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
Shimin Liu, Yuqian Lu, Pai Zheng, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102390-102390
Closed Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Swift feedback and immediate error control using a lightweight simulation approach – A case study of the digital-twin-in-the-loop for machining thin-wall structures
Mariam Abed, Andres Gameros, Abdelkhalick Mohammad, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 309-322
Open Access | Times Cited: 9
Health management of power batteries in low temperatures based on Adaptive Transfer Enformer framework
Bingyang Chen, Xingjie Zeng, Chao Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110613-110613
Closed Access | Times Cited: 3
Towards discrete manufacturing workshop-oriented digital twin model: Modeling, verification and evolution
Weiwei Qian, Yu Guo, Litong Zhang, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 188-205
Closed Access | Times Cited: 7
Formalizing a framework of inference capabilities for Digital Twin engineering
M. Diakite, Mamadou Kaba Traoré
SIMULATION (2024) Vol. 100, Iss. 9, pp. 887-902
Closed Access | Times Cited: 2
A Review of Fault Prediction Methods for High Speed Elevator Brakes for Service Safety
Fusheng Zhang, Kai Zhang, Guohong Xie, et al.
Lecture notes in electrical engineering (2024), pp. 522-528
Closed Access | Times Cited: 1
Digital twin-driven modeling and application of carbon emission for machine tool
Chengchao Li, Weiwei Ge, Zixuan Huang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5595-5609
Closed Access | Times Cited: 1
Iterative updating of digital twin for equipment: Progress, challenges, and trends
Bin Zhang, Guofu Ding, Qing Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102773-102773
Closed Access | Times Cited: 1
An Online Transfer Learning Framework for Cell SOC Online Estimation of Battery Pack in Complex Application Conditions
Pengliang Qin, Linhui Zhao
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 5974-5986
Closed Access | Times Cited: 4
Prediction of Machining Condition Using Time Series Imaging and Deep Learning in Slot Milling of Titanium Alloy
Faramarz Hojati, Bahman Azarhoushang, Amir Daneshi, et al.
Journal of Manufacturing and Materials Processing (2022) Vol. 6, Iss. 6, pp. 145-145
Open Access | Times Cited: 7
Deploying Digital Twin in Manufacturing Systems: Scope and Requirements
Nada Ouahabi, Ahmed Chebak, Mouna Berquedich, et al.
Lecture notes in networks and systems (2023), pp. 639-650
Closed Access | Times Cited: 3
Learning From the Dark Side: A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles
Yang Xing, Zhongxu Hu, Peng Hang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 2, pp. 3205-3219
Open Access | Times Cited: 3
A domain-adversarial wide-kernel convolutional neural network for noisy domain adaptive diesel engine misfire diagnosis
Senhan Xu, J. X. Lei, Chengjin Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-19
Closed Access | Times Cited: 3
Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach
Abid Imran, Sang-Hwa Kim, Jaehong Woo, et al.
IEEE Access (2022) Vol. 10, pp. 105133-105148
Open Access | Times Cited: 4
Reinforcement learning method for machining deformation control based on meta-invariant feature space
Yujie Zhao, Changqing Liu, Zhiwei Zhao, et al.
Visual Computing for Industry Biomedicine and Art (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Literature Review to Digital Twin of a Process Plant
Josip Stjepandić, Johannes Lützenberger, Philipp Kremer
Springer eBooks (2024), pp. 37-61
Closed Access
A Method for Processing Elevator Brake Performance Degradation Data Using Multi-source Sensor Data Fusion and Feature Tracking
Fusheng Zhang, Yang Ge, Wei Ye, et al.
Lecture notes in electrical engineering (2024), pp. 489-496
Closed Access
Unsupervised anomaly detection for manufacturing product images by significant feature space distance measurement
Haoyuan Shen, Baolei Wei, Yizhong Ma
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111328-111328
Closed Access
A Modeling and Adaptive Evolution Method for Simulation Parameters of Digital Twin Shop Floor
Litong Zhang, Yu Guo, Shengbo Wang, et al.
(2024)
Closed Access
Reconfigurable Digital Twin from the Perspective of Smart Manufacturing Systems in Industry 4.0/5.0
Guangyu Mo, Yuan Sun, Sihan Huang, et al.
Journal of Physics Conference Series (2024) Vol. 2832, Iss. 1, pp. 012007-012007
Open Access
A digital twin commissioning method for machine tools based on scenario simulation
Xuehao Sun, Fengli Zhang, Xiaotong Niu, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 697-707
Closed Access
Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives
Xiangfu Fu, Shuo Li, Hyo-Sook Song, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 93, pp. 102902-102902
Open Access
A human-inspired slow-fast dual-branch method for product quality prediction of complex manufacturing processes with hierarchical variations
Tianyu Wang, Zongyang Hu, Yijie Wang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 102967-102967
Closed Access
Tolerance-constrained adaptive machining of negative allowance surface based on composite on-machine measurement
Dawei Ding, Yucan Fu, Taorui Xu, et al.
Scientia Sinica Technologica (2023)
Closed Access | Times Cited: 1
Accelerated and inexpensive Machine Learning for manufacturing processes with incomplete mechanistic knowledge
Jeremy Cleeman, Kian Agrawala, Rajiv Malhotra
Manufacturing Letters (2023) Vol. 37, pp. 53-56
Open Access | Times Cited: 1
A novel bionic decision-making mechanism for digital twin-based manufacturing system
Shimin Liu, Pai Zheng, Suiyan Shang
Manufacturing Letters (2023) Vol. 35, pp. 127-131
Open Access | Times Cited: 1

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