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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 26-50 of 68 citing articles:

Autonomously triggered model updates for self-learning thermal error compensation
Nico Zimmermann, Mario Breu, Josef Mayr, et al.
CIRP Annals (2021) Vol. 70, Iss. 1, pp. 431-434
Closed Access | Times Cited: 28
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
Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions
Muhammad Asif Khan, Hang Shen, Chunlin Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8298-8298
Open Access | Times Cited: 12
Cutting Process Consideration in Dynamic Models of Machine Tool Spindle Units
Yuriy Danylchenko, Michael Storchak, Mariia Danylchenko, et al.
Machines (2023) Vol. 11, Iss. 6, pp. 582-582
Open Access | Times Cited: 12
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
Simple machine learning allied with data-driven methods for monitoring tool wear in machining processes
Adalto de Farias, SERGIO LUIS RABELO DE ALMEIDA, Sérgio Delijaicov, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 109, Iss. 9-12, pp. 2491-2501
Closed Access | Times Cited: 27
Energy index for evaluating machine tool energy performance: Classification, model and application
Xintao Hu, Yebing Tian, Jinling Wang, et al.
Journal of Cleaner Production (2024) Vol. 447, pp. 141356-141356
Closed Access | Times Cited: 3
Development of optimal monitoring strategies for smart ultra-precision machining using social network analysis
Zhicheng Xu, Feng Guo, Baolong Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 24-41
Closed Access | Times Cited: 3
Intelligent Machines as Information and Communication Technology: A Conceptual Framework Demonstrating Sustainable Marketing Practices for Beneficial Impact on Business Performance
Rajat Kumar Behera, Anis ur Rehman, Md. Saiful Islam, et al.
Journal of Cleaner Production (2024), pp. 143676-143676
Closed Access | Times Cited: 3
Overview of Tool Wear Monitoring Methods Based on Convolutional Neural Network
Qun Wang, Hengsheng Wang, Liwei Hou, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 12041-12041
Open Access | Times Cited: 21
Semi-supervised multi-source meta-domain generalization method for tool wear state prediction under varying cutting conditions
Wangyang Li, Hongya Fu, Yue Zhuo, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 323-341
Closed Access | Times Cited: 8
Investigated iterative convergences of neural network for prediction turning tool wear
Wen-Yang Chang, Sheng-Jhih Wu, Jia-Wei Hsu
The International Journal of Advanced Manufacturing Technology (2020) Vol. 106, Iss. 7-8, pp. 2939-2948
Closed Access | Times Cited: 22
Top 20 Influential AI-Based Technologies in Chemistry
Valentine P. Ananikov
(2024)
Open Access | Times Cited: 2
A Review on Application of Artificial Intelligence in Mechanical Engineering
Sambhrant Srivastava, Vijay Kumar, Saurabh Kumar Singh, et al.
Advances in computational intelligence and robotics book series (2024), pp. 29-46
Closed Access | Times Cited: 2
Machining process monitoring using an infrared sensor
Waseem Akhtar, Hammad Ur Rahman, İsmail Lazoğlu
Journal of Manufacturing Processes (2024) Vol. 131, pp. 2400-2410
Closed Access | Times Cited: 2
Shaped vibration cutting: A novel fabrication method for mid-infrared relief gratings with controllable profiles
Zhimeng Chen, Pingfa Feng, Jianfu Zhang, et al.
Journal of Materials Processing Technology (2023) Vol. 317, pp. 118007-118007
Closed Access | Times Cited: 6
Mechanism-Based Structured Deep Neural Network for Cutting Force Forecasting Using CNC Inherent Monitoring Signals
Yinghao Cheng, Yingguang Li, Xu Liu, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 4, pp. 2235-2245
Closed Access | Times Cited: 14
The Analysis of Key Technologies for Sustainable Machine Tools Design
Chunhua Feng, Shi Huang
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 731-731
Open Access | Times Cited: 14
Paths for the Digital Transformation and Intelligent Upgrade of China's Discrete Manufacturing Industry
Xinyu Li, Zhaofu Li, Liang Gao
Strategic Study of CAE (2022) Vol. 24, Iss. 2, pp. 64-64
Open Access | Times Cited: 8
Platform Supporting Intelligent Human–Machine Interface (HMI) Applications for Smart Machine Tools
Il-Ha Park, Joo Sung Yoon, Jin Ho Sohn, et al.
International Journal of Precision Engineering and Manufacturing (2024) Vol. 25, Iss. 5, pp. 1073-1086
Open Access | Times Cited: 1
A Market Convergence Prediction Framework Based on a Supply Chain Knowledge Graph
Shaojun Zhou, Yufei Liu, Yuhan Liu
Sustainability (2024) Vol. 16, Iss. 4, pp. 1696-1696
Open Access | Times Cited: 1
Forecasting Emerging Technologies in Intelligent Machine Tools: A Novel Framework Based on Community Analysis
Cunxiang He, Yufei Liu, Yuhan Liu
Machines (2024) Vol. 12, Iss. 3, pp. 197-197
Open Access | Times Cited: 1
Equipment electrocardiogram (EECG): making intelligent production line more robust
Baotong Chen, Lei Wang, Shujun Yu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2867-2886
Closed Access | Times Cited: 4
Determination of Chatter-Free Cutting Mode in End Milling
Yuri Petrakov, Oleksandr Okhrimenko, Serhii Sapon, et al.
Journal of Engineering Sciences (2024) Vol. 11, Iss. 2, pp. A1-A11
Open Access | Times Cited: 1
Hybridformer: an efficient and robust new hybrid network for chip image segmentation
Chuang Zhang, Xiuping Liu, Xiaoge Ning, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28592-28610
Closed Access | Times Cited: 2

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