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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:

Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis
Abdelhakim Dorbane, Fouzi Harrou, Daniel-Constantin Anghel, et al.
Journal of Failure Analysis and Prevention (2023) Vol. 24, Iss. 1, pp. 229-244
Closed Access | Times Cited: 9

Showing 9 citing articles:

Machine Learning-Based Forward and Inverse Designs for Prediction and Optimization of Fracture Toughness of Aluminum Alloy
Jaka Fajar Fatriansyah, Muhammad Satrio, Andreas Federico, et al.
Results in Engineering (2024) Vol. 23, pp. 102717-102717
Open Access | Times Cited: 8
Predicting bond strength between steel reinforcement and concrete materials using machine learning with Bayesian optimization techniques
Alanoud Al Mazroa, Faiz Alotaibi, Mrim M. Alnfiai, et al.
Matéria (Rio de Janeiro) (2025) Vol. 30
Open Access | Times Cited: 1
Machine Learning Techniques for Estimating High–Temperature Mechanical Behavior of High Strength Steels
Cüneyt Yazıcı, F. J. Domínguez-Gutiérrez
Results in Engineering (2025) Vol. 25, pp. 104242-104242
Closed Access
Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Journal of Materials Engineering and Performance (2025)
Closed Access
Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3
A Data-Driven Machine Learning Model for the Stress-Strain Behavior of Single Grain SAC305 Solder Joints
Debabrata Mondal, Jeffrey C. Suhling, Elham Mirkoohi, et al.
(2024), pp. 670-677
Closed Access
Prediction of the Mechanical Responses of Single Grain Lead-Free Solder Joints Using Machine Learning
Debabrata Mondal, Jeffrey C. Suhling, Elham Mirkoohi, et al.
(2024), pp. 1-8
Closed Access
Detecting Faulty Steel Plates Using Machine Learning
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Communications in computer and information science (2024), pp. 321-333
Closed Access
Machine Learning‐Based Strength Prediction for Two‐Stage Aged 7050 Aluminum Alloy Forgings in Aircraft Main Support Joints
Yongjie Liu, Yuanzhi Qian, Weijiu Huang, et al.
Advanced Engineering Materials (2024)
Open Access
Stress–strain curve predictions by crystal plasticity simulations and machine learning
Dmitry S. Bulgarevich, Makoto Watanabe
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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