Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning in Production – Potentials, Challenges and Exemplary Applications
Andreas Mayr, Dominik Kißkalt, Moritz Meiners, et al.
Procedia CIRP (2019) Vol. 86, pp. 49-54
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Hasan Tercan, Tobias Meisen
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 7, pp. 1879-1905
Open Access | Times Cited: 173
Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies
Steffen Kinkel, Marco Baumgartner, Enrica Cherubini
Technovation (2021) Vol. 110, pp. 102375-102375
Closed Access | Times Cited: 146
Enabling deep learning using synthetic data: A case study for the automotive wiring harness manufacturing
Huong Giang Nguyen, Resul Habiboglu, Jörg Franke
Procedia CIRP (2022) Vol. 107, pp. 1263-1268
Open Access | Times Cited: 27
Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives
Lorena Espina-Romero, José Gregorio Noroño Sánchez, Humberto Gutiérrez Hurtado, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12176-12176
Open Access | Times Cited: 14
Derin Öğrenme ile Soket Kablo Sıralama Hata Tespiti
Bahadır ELMAS, Hakan Korkmaz
Journal of Polytechnic (2025), pp. 1-1
Open Access
Weld quality monitoring via machine learning-enabled approaches
Aditya Raj, Utkarsh Chadha, Arisha Chadha, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023)
Closed Access | Times Cited: 12
Implementation of Machine Learning Algorithms for Weld Quality Prediction and Optimization in Resistance Spot Welding
Nevan Nicholas Johnson, Vaishnav Madhavadas, Brajesh Asati, et al.
Journal of Materials Engineering and Performance (2023) Vol. 33, Iss. 13, pp. 6561-6585
Closed Access | Times Cited: 11
A reference architecture for the operationalization of machine learning models in manufacturing
Tim Raffin, Tobias Reichenstein, Jonas Werner, et al.
Procedia CIRP (2022) Vol. 115, pp. 130-135
Open Access | Times Cited: 14
Data Farming in Production Systems - A Review on Potentials, Challenges and Exemplary Applications
Tobias Lechler, Martin Sjarov, Jörg Franke
Procedia CIRP (2021) Vol. 96, pp. 230-235
Open Access | Times Cited: 19
Machine learning in smart production logistics: a review of technological capabilities
Erik Flores-García, Dong Hoon Kwak, Yongkuk Jeong, et al.
International Journal of Production Research (2024), pp. 1-35
Open Access | Times Cited: 2
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
Process curve analysis with machine learning on the example of screw fastening and press-in processes
Moritz Meiners, Andreas Mayr, Jörg Franke
Procedia CIRP (2021) Vol. 97, pp. 166-171
Open Access | Times Cited: 16
Development and validation of a digital twin framework for SMT manufacturing
Reinhardt Seidel, Ben Rachinger, Nils Thielen, et al.
Computers in Industry (2022) Vol. 145, pp. 103831-103831
Closed Access | Times Cited: 11
Deep learning based soft sensors for industrial machinery
Benjamin Maschler, Sören Ganssloser, Andreas Hablizel, et al.
Procedia CIRP (2021) Vol. 99, pp. 662-667
Open Access | Times Cited: 14
Electronic module assembly
Jörg Franke, Lihui Wang, Karlheinz Bock, et al.
CIRP Annals (2021) Vol. 70, Iss. 2, pp. 471-493
Closed Access | Times Cited: 14
Towards an intelligent linear winding process through sensor integration and machine learning techniques
Andreas Mayr, Dominik Kißkalt, Alexander Lomakin, et al.
Procedia CIRP (2021) Vol. 96, pp. 80-85
Open Access | Times Cited: 14
Benchmark of Automated Machine Learning with State-of-the-Art Image Segmentation Algorithms for Tool Condition Monitoring
Benjamin Lutz, Raven T. Reisch, Dominik Kißkalt, et al.
Procedia Manufacturing (2020) Vol. 51, pp. 215-221
Open Access | Times Cited: 14
The Application of Machine Learning for Green Hydrogen Production
Wafa Taief, Amani Al–Othman, Muhammad Tawalbeh
Elsevier eBooks (2024)
Closed Access | Times Cited: 1
Artificial Intelligence Models: A literature review addressing Industry 4.0 approach
Hélio Castro, Eduardo Câmara, Paulo Ávila, et al.
Procedia Computer Science (2024) Vol. 239, pp. 2369-2376
Open Access | Times Cited: 1
In-situ identification of material batches using machine learning for machining operations
Benjamin Lutz, Dominik Kißkalt, Andreas Mayr, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 5, pp. 1485-1495
Open Access | Times Cited: 12
Exploratory Review of Applications of Machine Learning for Small- and Medium-Sized Enterprises (SMEs)
Narasimha Rao Vajjhala
Smart innovation, systems and technologies (2024), pp. 261-270
Closed Access | Times Cited: 1
Machine learning tools in production engineering
Michael Rom, Matthias Brockmann, Michaël Herty, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 7-8, pp. 4793-4804
Open Access | Times Cited: 7
Development of a framework for the holistic generation of ML-based business models in manufacturing
Felix Hoffmann, Enno Lang, Joachim Metternich
Procedia CIRP (2022) Vol. 107, pp. 209-214
Open Access | Times Cited: 6
A Data Mining based Approach for Electric Motor Anomaly Detection Applied on Vibration Data
Oche A. Egaji, Tobore Ekwevugbe, Mark Griffiths
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) (2020), pp. 330-334
Closed Access | Times Cited: 8
Towards an Inline Quality Monitoring for Crimping Processes Utilizing Machine Learning Techniques
Moritz Meiners, Andreas Mayr, Marlene Kuhn, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top