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 Use Case to Implement Machine Learning for Life Time Prediction of Manufacturing Tools
Robin Oberlé, Sebastian Schorr, Li Yi, et al.
Procedia CIRP (2020) Vol. 93, pp. 1484-1489
Open Access | Times Cited: 18
Robin Oberlé, Sebastian Schorr, Li Yi, et al.
Procedia CIRP (2020) Vol. 93, pp. 1484-1489
Open Access | Times Cited: 18
Showing 18 citing articles:
Digital twins for cutting processes
Thomas Bergs, Dirk Biermann, Kaan Erkorkmaz, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 541-567
Closed Access | Times Cited: 28
Thomas Bergs, Dirk Biermann, Kaan Erkorkmaz, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 541-567
Closed Access | Times Cited: 28
State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes
Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Ali Erçetin, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 1-2, pp. 57-85
Open Access | Times Cited: 24
Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Ali Erçetin, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 1-2, pp. 57-85
Open Access | Times Cited: 24
AI-based optimisation of total machining performance: A review
Katrin Ullrich, Magnus von Elling, Kevin Gutzeit, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 40-54
Open Access | Times Cited: 13
Katrin Ullrich, Magnus von Elling, Kevin Gutzeit, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 40-54
Open Access | Times Cited: 13
Optimization and prediction of CBN tool life sustainability during AA1100 CNC turning by response surface methodology
Faisal M. H, A. Mohana Krishnan, S. Prabagaran, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18807-e18807
Open Access | Times Cited: 20
Faisal M. H, A. Mohana Krishnan, S. Prabagaran, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18807-e18807
Open Access | Times Cited: 20
Tool Wear Monitoring with Artificial Intelligence Methods: A Review
Roberto Munaro, Aldo Attanasio, Antonio Del Prete
Journal of Manufacturing and Materials Processing (2023) Vol. 7, Iss. 4, pp. 129-129
Open Access | Times Cited: 17
Roberto Munaro, Aldo Attanasio, Antonio Del Prete
Journal of Manufacturing and Materials Processing (2023) Vol. 7, Iss. 4, pp. 129-129
Open Access | Times Cited: 17
A Supervised Machine Learning Model for Tool Condition Monitoring in Smart Manufacturing
S. Ganeshkumar, T. Deepika, Anandakumar Haldorai
Defence Science Journal (2022) Vol. 72, Iss. 5, pp. 712-720
Open Access | Times Cited: 27
S. Ganeshkumar, T. Deepika, Anandakumar Haldorai
Defence Science Journal (2022) Vol. 72, Iss. 5, pp. 712-720
Open Access | Times Cited: 27
Comparison and assessment of machine learning approaches in manufacturing applications
K. Ramesh, M. N. Indrajith, Y. S. Prasanna, et al.
Industrial Artificial Intelligence (2025) Vol. 3, Iss. 1
Open Access
K. Ramesh, M. N. Indrajith, Y. S. Prasanna, et al.
Industrial Artificial Intelligence (2025) Vol. 3, Iss. 1
Open Access
Machine vision-based gradient-boosted tree and support vector regression for tool life prediction in turning
Prashant J. Bagga, Kaushik M. Patel, Mayur A. Makhesana, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 1-2, pp. 471-485
Open Access | Times Cited: 7
Prashant J. Bagga, Kaushik M. Patel, Mayur A. Makhesana, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 1-2, pp. 471-485
Open Access | Times Cited: 7
A New Architecture Paradigm for Tool Wear Prediction during AISI 9840 Drilling Operation
Roberto Munaro, Aldo Attanasio, Andrea Abeni, et al.
Procedia Computer Science (2024) Vol. 232, pp. 1617-1625
Open Access | Times Cited: 2
Roberto Munaro, Aldo Attanasio, Andrea Abeni, et al.
Procedia Computer Science (2024) Vol. 232, pp. 1617-1625
Open Access | Times Cited: 2
Investigation on the effect of process parameters and optimization using GRA under biodegradable oil based MQL in machining
Mayur A. Makhesana, Prashant J. Bagga, Manoj Kumar Agrawal, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 5, pp. 3133-3144
Closed Access | Times Cited: 2
Mayur A. Makhesana, Prashant J. Bagga, Manoj Kumar Agrawal, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 5, pp. 3133-3144
Closed Access | Times Cited: 2
Greybox-Modelle in der Zerspanung
Maximilian Berndt, H. A. E. Birk Schmidt, Lars Müller, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2024) Vol. 119, Iss. 7-8, pp. 573-576
Closed Access
Maximilian Berndt, H. A. E. Birk Schmidt, Lars Müller, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2024) Vol. 119, Iss. 7-8, pp. 573-576
Closed Access
Influence of illumination on the image-based classification accuracy of wear on milling tools
B. Papenberg, Sebastian Hogreve, Thore Bochert, et al.
Procedia CIRP (2024) Vol. 126, pp. 366-371
Open Access
B. Papenberg, Sebastian Hogreve, Thore Bochert, et al.
Procedia CIRP (2024) Vol. 126, pp. 366-371
Open Access
Structural Vibration Tests: Use of Artificial Neural Networks for Live Prediction of Structural Stress
Laura Wilmes, Kingnide Olympio, Kristin M. de Payrebrune, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8542-8542
Open Access | Times Cited: 3
Laura Wilmes, Kingnide Olympio, Kristin M. de Payrebrune, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8542-8542
Open Access | Times Cited: 3
Forecasting the Friction Coefficient of Rubbing Zirconia Ceramics by Titanium Alloy
Ahmad Salah, Ahmed Fathalla, Esraa Eldesouky, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 1
Ahmad Salah, Ahmed Fathalla, Esraa Eldesouky, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 1
Data Driven Prognostics of Milling Tool Wear :A Machine Learning Approach
Savinu T. Vijay, V. Madhusudanan Pillai, Basil Kuraichen
2021 International Conference on Computational Performance Evaluation (ComPE) (2021), pp. 002-007
Closed Access | Times Cited: 2
Savinu T. Vijay, V. Madhusudanan Pillai, Basil Kuraichen
2021 International Conference on Computational Performance Evaluation (ComPE) (2021), pp. 002-007
Closed Access | Times Cited: 2
Transfer Learning in der Zerspanung
Peter M. Simon, Daniel Müller, Matthias Klar, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2022) Vol. 117, Iss. 1-2, pp. 79-83
Closed Access | Times Cited: 1
Peter M. Simon, Daniel Müller, Matthias Klar, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2022) Vol. 117, Iss. 1-2, pp. 79-83
Closed Access | Times Cited: 1
User-Centered Optimization System at Workshop Level for More Energy-Efficient Machine Tool Operations
Thore Gericke, Alexander Mattes, Benjamin Overhoff, et al.
Advances in intelligent systems and computing (2021), pp. 339-344
Closed Access
Thore Gericke, Alexander Mattes, Benjamin Overhoff, et al.
Advances in intelligent systems and computing (2021), pp. 339-344
Closed Access
Implementation of machine learning to increase productivity in the manufacturing industry: a literature review.
Yulio Agefa Purmala
Operations Excellence Journal of Applied Industrial Engineering (2021) Vol. 13, Iss. 2, pp. 267-267
Open Access
Yulio Agefa Purmala
Operations Excellence Journal of Applied Industrial Engineering (2021) Vol. 13, Iss. 2, pp. 267-267
Open Access
