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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:

Toward Intelligent Machine Tool
Jihong Chen, Pengcheng Hu, Huicheng Zhou, et al.
Engineering (2019) Vol. 5, Iss. 4, pp. 679-690
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification
Minh‐Quang Tran, Mahmoud Elsisi, Meng‐Kun Liu, et al.
IEEE Access (2022) Vol. 10, pp. 23186-23197
Open Access | Times Cited: 90
Chatter detection in milling processes—a review on signal processing and condition classification
John Henry Navarro-Devia, Yun Chen, Dzung Viet Dao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 3943-3980
Open Access | Times Cited: 45
Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation
Ziqi Huang, Marcel Fey, Chao Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 82, pp. 102545-102545
Open Access | Times Cited: 42
An approach for crucial geometric error analysis and accuracy enhancement of gantry milling machines based on generalized correlation sensitivity
Peng Niu, Qiang Cheng, Chuanhai Chen, et al.
Journal of Manufacturing Processes (2024) Vol. 119, pp. 401-413
Closed Access | Times Cited: 21
Self-optimizing machining systems
Hans‐Christian Möhring, Petra Wiederkehr, Kaan Erkorkmaz, et al.
CIRP Annals (2020) Vol. 69, Iss. 2, pp. 740-763
Closed Access | Times Cited: 98
Developing sensor signal-based digital twins for intelligent machine tools
Angkush Kumar Ghosh, AMM Sharif Ullah, Roberto Teti, et al.
Journal of Industrial Information Integration (2021) Vol. 24, pp. 100242-100242
Open Access | Times Cited: 84
Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
Minh‐Quang Tran, Hoang-Phuong Doan, Viet Q. Vu, et al.
Measurement (2022) Vol. 207, pp. 112351-112351
Closed Access | Times Cited: 63
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0
Chao Zhang, Guanghui Zhou, Jingjing Li, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 56-70
Closed Access | Times Cited: 56
Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit
Wangyang Li, Hongya Fu, Zhenyu Han, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102368-102368
Closed Access | Times Cited: 48
Review of Computer-Aided Manufacturing (CAM) strategies for hybrid directed energy deposition
Thomas Feldhausen, Lauren Heinrich, Kyle Saleeby, et al.
Additive manufacturing (2022) Vol. 56, pp. 102900-102900
Open Access | Times Cited: 39
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control
Qingwei Nie, Dunbing Tang, Changchun Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 82, pp. 102543-102543
Closed Access | Times Cited: 37
Finite element analysis and structure optimization of a gantry-type high-precision machine tool
Tzu-Chi Chan, Aman Ullah, Bedanta Roy, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
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
Self-optimizing thermal error compensation models with adaptive inputs using Group-LASSO for ARX-models
Nico Zimmermann, Tobias Büchi, Josef Mayr, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 615-625
Open Access | Times Cited: 36
Artificial intelligence enabled smart machining and machine tools
Yu Sung Chuo, Jiwoong Lee, Chang Hyeon Mun, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 1, pp. 1-23
Closed Access | Times Cited: 28
Digital Twin Modeling Enabled Machine Tool Intelligence: A Review
Lei Zhang, Jianhua Liu, Cunbo Zhuang
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 6
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 5
A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool
Yuan Zhou, Fang Dong, Yufei Liu, et al.
Scientometrics (2021) Vol. 126, Iss. 2, pp. 969-994
Closed Access | Times Cited: 32
Comprehensive approach toward IIoT based condition monitoring of machining processes
Rashid Ali Laghari, Samir Mekid
Measurement (2023) Vol. 217, pp. 113004-113004
Closed Access | Times Cited: 12
A digital solution for CPS-based machining path optimization for CNC systems
Lipeng Zhang, Haoyu Yu, Chuting Wang, et al.
Journal of Intelligent Manufacturing (2024) Vol. 36, Iss. 2, pp. 1261-1290
Closed Access | Times Cited: 4
A review on positioning uncertainty in motion control for machine tool feed drives
Li Quan, Wanhua Zhao
Precision Engineering (2024) Vol. 88, pp. 428-448
Closed Access | Times Cited: 4
Experimental Analysis of Smart Drilling for the Furniture Industry in the Era of Industry 4.0
Krzysztof Szwajka, Joanna Zielińska-Szwajka, Tomasz Trzepieciński
Materials (2024) Vol. 17, Iss. 9, pp. 2033-2033
Open Access | Times Cited: 4
Swin-fusion: An adaptive multi-source information fusion framework for enhanced tool wear monitoring
Kailin Hou, Rongyi Li, Xianli Liu, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 435-454
Closed Access
Data-mechanism fusion modeling and compensation for the spindle thermal error of machining center based on digital twin
Yingqiang Zheng, Hanbo Yang, G Jiang, et al.
Measurement (2025), pp. 117152-117152
Closed Access
Artificial Intelligence: Prospect in Mechanical Engineering Field—A Review
A. R. Patel, Kashyap K. Ramaiya, Chandrakant V. Bhatia, et al.
Lecture notes on data engineering and communications technologies (2020), pp. 267-282
Closed Access | Times Cited: 34
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