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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 digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled parts
Chao Zhang, Guanghui Zhou, Qingfeng Xu, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 7-8, pp. 2847-2861
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review
Chao Zhang, Zenghui Wang, Guanghui Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102121-102121
Closed Access | Times Cited: 113
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing
Shenglin Wang, Jingqiong Zhang, Peng Wang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102608-102608
Open Access | Times Cited: 61
Digital twin technology in modern machining: A comprehensive review of research on machining errors
Xiangfu Fu, Hyo-Sook Song, Shuo Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 134-161
Open Access | Times Cited: 2
Digital Twin Model of Electric Drives Empowered by EKF
Mohsen Ebadpour, Mohammad Jamshidi, Jakub Talla, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2006-2006
Open Access | Times Cited: 25
Developing cyber-physical system and digital twin for smart manufacturing: Methodology and case study of continuous clarification
Shantanu Banerjee, Naveen G. Jesubalan, Amey Kulkarni, et al.
Journal of Industrial Information Integration (2024) Vol. 38, pp. 100577-100577
Closed Access | Times Cited: 9
Generative AI and DT integrated intelligent process planning: a conceptual framework
Qingfeng Xu, Guanghui Zhou, Chao Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 5-6, pp. 2461-2485
Closed Access | Times Cited: 7
Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0
Chao Zhang, Guanghui Zhou, Dongxu Ma, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102390-102390
Closed Access | Times Cited: 6
A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing
Chao Zhang, Qingfeng Xu, Yongrui Yu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102883-102883
Closed Access | Times Cited: 6
A digital twin-driven cutting force adaptive control approach for milling process
Xin Tong, Qiang Liu, Yinuo Zhou, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 13
A Review of Proposed Models for Cutting Force Prediction in Milling Parts with Low Rigidity
Petrica Radu, Carol Schnakovszky
Machines (2024) Vol. 12, Iss. 2, pp. 140-140
Open Access | Times Cited: 5
Multi-axis CNC finishing and surface roughness prediction of TC11 titanium alloy open integral micro impeller
HaiYue Zhao, Yan Cao, Junde Guo, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 4
Open Access | Times Cited: 4
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
Industrial applications of digital twins: A systematic investigation based on bibliometric analysis
Jiangzhuo Ren, Rafiq Ahmad, Dabing Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103264-103264
Closed Access
Digital Twin-Driven Assembling Prediction and Strategy Design of Cylindrical Parts
Yimin Song, Chen Li, Binbin Lian, et al.
(2025)
Closed Access
Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3083-3114
Closed Access | Times Cited: 10
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life
Yao Li, Zhengcai Zhao, Kai Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 184-195
Closed Access | Times Cited: 3
Blockchain-based application for NC machining process decision and transaction
Bo Huang, Kai He, Rui Huang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102037-102037
Closed Access | Times Cited: 7
Research on online deformation monitoring of thin-walled parts driven by digital twin
Caixu Yue, Ruhong Jia, Xiaofei Zhu, et al.
Digital engineering. (2024) Vol. 3, pp. 100023-100023
Open Access | Times Cited: 2
Generative AI and digital twin integrated intelligent process planning：A conceptual framework
Qingfeng Xu, Guanghui Zhou, Chao Zhang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement
Dariusz Mazurkiewicz, Piotr Sobecki, Tomasz Żabiński, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123945-123945
Closed Access | Times Cited: 1
Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing
Fengyi Lu, Guanghui Zhou, Chao Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102824-102824
Open Access | Times Cited: 1
Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products
Chao Zhang, Yongrui Yu, Guanghui Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102707-102707
Closed Access | Times Cited: 1
Research on digital twin monitoring system during milling of large parts
Yao Lu, Caixu Yue, Xianli Liu, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 834-847
Closed Access | Times Cited: 1
Research on numerical simulation and prediction of tool wear in cutting ultra-high-strength aluminum alloys
HaiYue Zhao, Yan Cao, Sergey Gorbachev, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 12
Closed Access | Times Cited: 1
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 | Times Cited: 1
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