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:
Prediction of the Ultimate Tensile Strength (UTS) of Asymmetric Friction Stir Welding Using Ensemble Machine Learning Methods
Surasak Matitopanum, Rapeepan Pitakaso, Kanchana Sethanan, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 391-391
Open Access | Times Cited: 13
Surasak Matitopanum, Rapeepan Pitakaso, Kanchana Sethanan, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 391-391
Open Access | Times Cited: 13
Showing 13 citing articles:
AI for tribology: Present and future
Nian Yin, Pufan Yang, Songkai Liu, et al.
Friction (2024) Vol. 12, Iss. 6, pp. 1060-1097
Open Access | Times Cited: 17
Nian Yin, Pufan Yang, Songkai Liu, et al.
Friction (2024) Vol. 12, Iss. 6, pp. 1060-1097
Open Access | Times Cited: 17
Optimization of 2024-T3 Aluminum Alloy Friction Stir Welding Using Random Forest, XGBoost, and MLP Machine Learning Techniques
Piotr Myśliwiec, Andrzej Kubit, Paulina Szawara
Materials (2024) Vol. 17, Iss. 7, pp. 1452-1452
Open Access | Times Cited: 14
Piotr Myśliwiec, Andrzej Kubit, Paulina Szawara
Materials (2024) Vol. 17, Iss. 7, pp. 1452-1452
Open Access | Times Cited: 14
FSW Optimization: Prediction Using Polynomial Regression and Optimization with Hill-Climbing Method
Piotr Myśliwiec, Paulina Szawara, Andrzej Kubit, et al.
Materials (2025) Vol. 18, Iss. 2, pp. 448-448
Open Access
Piotr Myśliwiec, Paulina Szawara, Andrzej Kubit, et al.
Materials (2025) Vol. 18, Iss. 2, pp. 448-448
Open Access
A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties
Roosvel Soto-Díaz, Mauricio Vásquez‐Carbonell, José Escorcia‐Gutierrez
Engineering Science and Technology an International Journal (2025) Vol. 62, pp. 101949-101949
Closed Access
Roosvel Soto-Díaz, Mauricio Vásquez‐Carbonell, José Escorcia‐Gutierrez
Engineering Science and Technology an International Journal (2025) Vol. 62, pp. 101949-101949
Closed Access
Optimizing Nile Tilapia growth and production costs in earthen ponds using multi-objective adaptive artificial intelligence systems
Keartisak Sriprateep, Rapeepan Pitakaso, Surajet Khonjun, et al.
Aquaculture Reports (2025) Vol. 41, pp. 102716-102716
Closed Access
Keartisak Sriprateep, Rapeepan Pitakaso, Surajet Khonjun, et al.
Aquaculture Reports (2025) Vol. 41, pp. 102716-102716
Closed Access
Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access
A Review of Recent Developments in Friction Stir Welding for Various Industrial Applications
Shalok Bharti, Sudhir Kumar, Inderjeet Singh, et al.
Journal of Marine Science and Engineering (2023) Vol. 12, Iss. 1, pp. 71-71
Open Access | Times Cited: 12
Shalok Bharti, Sudhir Kumar, Inderjeet Singh, et al.
Journal of Marine Science and Engineering (2023) Vol. 12, Iss. 1, pp. 71-71
Open Access | Times Cited: 12
Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets
P. Lacki, Anna Derlatka, W. Więckowski, et al.
Materials (2024) Vol. 17, Iss. 3, pp. 672-672
Open Access | Times Cited: 4
P. Lacki, Anna Derlatka, W. Więckowski, et al.
Materials (2024) Vol. 17, Iss. 3, pp. 672-672
Open Access | Times Cited: 4
A Multiple Response Prediction Model for Dissimilar AA-5083 and AA-6061 Friction Stir Welding Using a Combination of AMIS and Machine Learning
Rungwasun Kraiklang, Chakat Chueadee, Ganokgarn Jirasirilerd, et al.
Computation (2023) Vol. 11, Iss. 5, pp. 100-100
Open Access | Times Cited: 6
Rungwasun Kraiklang, Chakat Chueadee, Ganokgarn Jirasirilerd, et al.
Computation (2023) Vol. 11, Iss. 5, pp. 100-100
Open Access | Times Cited: 6
A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach
Surasak Matitopanum, Peerawat Luesak, Somphop Chiaranai, et al.
Intelligent Systems with Applications (2023) Vol. 19, pp. 200259-200259
Open Access | Times Cited: 6
Surasak Matitopanum, Peerawat Luesak, Somphop Chiaranai, et al.
Intelligent Systems with Applications (2023) Vol. 19, pp. 200259-200259
Open Access | Times Cited: 6
Prediction of tensile behaviour of hybrid laser arc welded Inconel 617 alloy using machine learning models
G. Pramod Kumar, K.R. Balasubramanian, Ravi Kumar Kottala, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 1
G. Pramod Kumar, K.R. Balasubramanian, Ravi Kumar Kottala, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 1
Efficient Optimization of Friction Stir Welding Parameters for AA7075 and AA6082 Alloys: A Hungarian Method Approach
N. K. Geetha, Bridjesh Pappula, Seshibe Makgato
Materials Today Communications (2024) Vol. 41, pp. 110671-110671
Closed Access | Times Cited: 1
N. K. Geetha, Bridjesh Pappula, Seshibe Makgato
Materials Today Communications (2024) Vol. 41, pp. 110671-110671
Closed Access | Times Cited: 1
Heterogeneous ensemble machine learning to predict the asiaticoside concentration in centella asiatica urban
Keartisak Sriprateep, Sarinya Sala-Ngamand, Surajet Khonjun, et al.
Intelligent Systems with Applications (2023) Vol. 21, pp. 200319-200319
Open Access | Times Cited: 4
Keartisak Sriprateep, Sarinya Sala-Ngamand, Surajet Khonjun, et al.
Intelligent Systems with Applications (2023) Vol. 21, pp. 200319-200319
Open Access | Times Cited: 4
