Open Access Helper

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:

Application of machine learning algorithm in the sheet metal industry: an exploratory case study
Ahm Shamsuzzoha, Timo Kankaanpää, Huy Nguyen, et al.
International Journal of Computer Integrated Manufacturing (2021) Vol. 35, Iss. 2, pp. 145-164
Open Access | Times Cited: 9

Showing 9 citing articles:

Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters
Daniel J. Cruz, Manuel R. Barbosa, Abel D. Santos, et al.
Metals (2024) Vol. 14, Iss. 1, pp. 84-84
Open Access | Times Cited: 4
Application of Artificial Neural Networks to the Analysis of Friction Behaviour in a Drawbead Profile in Sheet Metal Forming
Tomasz Trzepieciński, Sherwan Mohammed Najm
Materials (2022) Vol. 15, Iss. 24, pp. 9022-9022
Open Access | Times Cited: 20
Enhancing circular economy via detecting and recycling 2D nested sheet waste using Bayesian optimization technique based-smart digital twin
Amira M. Eladly, Ahmed M. Abed, Moustafa H. Aly, et al.
Results in Engineering (2023) Vol. 20, pp. 101544-101544
Open Access | Times Cited: 10
Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective
P. K. Ambadekar, Sarita Ambadekar, Chandrashekhar Choudhari, et al.
Australian Journal of Mechanical Engineering (2023), pp. 1-21
Closed Access | Times Cited: 7
Diagnosis of Surface Defects in Hot-Rolled Steel from Deep Learning Features Using Machine Learning Algorithms
Sriraman Madhavan, Naveen Venkatesh Sridharan, Tapan K. Mahanta, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1
Integration of Machine Learning in Agile Supply Chain Management
Vivek Ghabak, A Seetharaman
(2023)
Closed Access | Times Cited: 4
Data-Driven Approaches in Incremental Forming: Unravelling the Path to Enhanced Manufacturing Efficiency using Data Acquisition.
S. Pratheesh Kumar, James H. Stanley, S Nimesha
International Journal of Lightweight Materials and Manufacture (2024)
Open Access
An Extensive Analysis on Intelligent Methods for Sheet Metal Processes
Jinit Kamleshbhai Barot, Dilipkumar S. Patel
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
Closed Access
Forecasting System and Project Monitoring in Industry
José Ribeiro, João Ramos
Lecture notes in networks and systems (2022), pp. 249-259
Closed Access | Times Cited: 2
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