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 review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites
Sherif S. Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly
Heliyon (2024) Vol. 10, Iss. 13, pp. e33681-e33681
Open Access | Times Cited: 8
Sherif S. Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly
Heliyon (2024) Vol. 10, Iss. 13, pp. e33681-e33681
Open Access | Times Cited: 8
Showing 8 citing articles:
Performance Analysis of Steel W18CR4V Grinding Using RSM, DNN-GA, KNN, LM, DT, SVM Models, and Optimization via Desirability Function and MOGWO
Sofiane Touati, Haithem Boumediri, Yacine Karmi, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42640-e42640
Open Access | Times Cited: 1
Sofiane Touati, Haithem Boumediri, Yacine Karmi, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42640-e42640
Open Access | Times Cited: 1
Development of Robust Machine Learning Models for Predicting Flexural Strengths of Fiber-Reinforced Polymeric Composites
Abdulhammed K. Hamzat, Umar Salman, Md Shafinur Murad, et al.
Hybrid Advances (2025), pp. 100385-100385
Open Access
Abdulhammed K. Hamzat, Umar Salman, Md Shafinur Murad, et al.
Hybrid Advances (2025), pp. 100385-100385
Open Access
A physics-informed neural network framework for laminated composite plates under bending
Weixi Wang, Huu‐Tai Thai
Thin-Walled Structures (2025), pp. 113014-113014
Open Access
Weixi Wang, Huu‐Tai Thai
Thin-Walled Structures (2025), pp. 113014-113014
Open Access
Machine Learning Predictions for the Comparative Mechanical Analysis of Composite Laminates with Various Fibers
Baha Eddine Ben Brayek, Sirine Sayed, Viorel Mînzu, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 602-602
Open Access
Baha Eddine Ben Brayek, Sirine Sayed, Viorel Mînzu, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 602-602
Open Access
Machine learning-driven property predictions of polypropylene composites using IR spectroscopy
Szilvia Klébert, Róbert Várdai, Anita Rácz
Composites Science and Technology (2025), pp. 111127-111127
Closed Access
Szilvia Klébert, Róbert Várdai, Anita Rácz
Composites Science and Technology (2025), pp. 111127-111127
Closed Access
Machine learning applied to the design and optimization of polymeric materials: A review
Sudarsan M. Pai, Karim Ali Shah, S. Shyam Sunder, et al.
Next Materials (2024) Vol. 7, pp. 100449-100449
Closed Access | Times Cited: 1
Sudarsan M. Pai, Karim Ali Shah, S. Shyam Sunder, et al.
Next Materials (2024) Vol. 7, pp. 100449-100449
Closed Access | Times Cited: 1
Machine learning-driven detection of anomalies in manufactured parts from resonance frequency signatures
Lufan Zhang, Shavan Askar, Ahmad Alkhayyat, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 1
Lufan Zhang, Shavan Askar, Ahmad Alkhayyat, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 1
Application of convolutional neural networks and ensemble methods in the fiber volume content analysis of natural fiber composites
Florian Rothenhäusler, Rodrigo Q. Albuquerque, Marcel Sticher, et al.
Machine Learning with Applications (2024), pp. 100609-100609
Open Access
Florian Rothenhäusler, Rodrigo Q. Albuquerque, Marcel Sticher, et al.
Machine Learning with Applications (2024), pp. 100609-100609
Open Access
