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:

Prediction of Selected Mechanical Properties of Polymer Composites with Alumina Modifiers
Ewelina Kosicka, Aneta Krzyżak, Mateusz Dorobek, et al.
Materials (2022) Vol. 15, Iss. 3, pp. 882-882
Open Access | Times Cited: 20

Showing 20 citing articles:

Artificial Intelligence in Predicting Mechanical Properties of Composite Materials
Fasikaw Kibrete, Tomasz Trzepieciński, Hailu Shimels Gebremedhen, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 9, pp. 364-364
Open Access | Times Cited: 56
Classification of a nanocomposite using a combination between Recurrent Neural Network based on Transformer and Bayesian Network for testing the conductivity property
Wejden Gazehi, Rania Loukil, Mongi Besbes
Expert Systems with Applications (2025) Vol. 270, pp. 126518-126518
Closed Access | Times Cited: 1
Machine Learning for Property Prediction and Optimization of Polymeric Nanocomposites: A State-of-the-Art
Elizabeth Champa-Bujaico, Pilar García-Díaz, Ana M. Díez‐Pascual
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10712-10712
Open Access | Times Cited: 38
KNEE JOINT OSTEOARTHRITIS DIAGNOSIS BASED ON SELECTED ACOUSTIC SIGNAL DISCRIMINANTS USING MACHINE LEARNING
Robert Karpiński
Applied Computer Science (2022) Vol. 18, Iss. 2, pp. 71-85
Open Access | Times Cited: 38
Prediction of Buckling Behaviour of Composite Plate Element Using Artificial Neural Networks
Katarzyna Falkowicz, Monika Kulisz
Advances in Science and Technology – Research Journal (2024) Vol. 18, Iss. 1, pp. 231-243
Open Access | Times Cited: 8
Development of machine learning models for the prediction of erosion wear of hybrid composites
Sourav Kumar Mahapatra, Alok Satapathy
Polymer Composites (2024) Vol. 45, Iss. 9, pp. 7950-7966
Closed Access | Times Cited: 8
Analysis and prediction of erosion behavior of epoxy composites using statistical and machine learning techniques
Sourav Kumar Mahapatra, Alok Satapathy
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access | Times Cited: 5
Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites
Jayanta Bhusan Deb, Jihua Gou, Haonan Song, et al.
Journal of Composites Science (2024) Vol. 8, Iss. 3, pp. 96-96
Open Access | Times Cited: 5
Computationally Efficient Concept of Representative Directions for Anisotropic Fibrous Materials
A. V. Shutov, Alexander Rodionov, Д.А. Пономарев, et al.
Polymers (2022) Vol. 14, Iss. 16, pp. 3314-3314
Open Access | Times Cited: 22
A review on computational intelligence methods for modeling of light weight composite materials
Nesrine Amor, Muhammad Tayyab Noman, Michal Petrů, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110812-110812
Closed Access | Times Cited: 9
Analysis of the Effectiveness of Removing Surface Defects by Brushing
Jakub Matuszak, Kazimierz Zaleski, Krzysztof Ciecieląg, et al.
Materials (2022) Vol. 15, Iss. 21, pp. 7833-7833
Open Access | Times Cited: 12
Evaluation of Machinability Indicators in Milling of Thin-Walled Composite Structures
Krzysztof Ciecieląg
Advances in Science and Technology – Research Journal (2024) Vol. 18, Iss. 1, pp. 202-212
Open Access | Times Cited: 2
Synthesis and Characterization of Polyhydroxyalkanoate/Graphene Oxide/Nanoclay Bionanocomposites: Experimental Results and Theoretical Predictions via Machine Learning Models
Elizabeth Champa-Bujaico, Ana M. Díez‐Pascual, Pilar García-Díaz
Biomolecules (2023) Vol. 13, Iss. 8, pp. 1192-1192
Open Access | Times Cited: 6
Modeling of Polymer Composite Materials Chaotically Reinforced with Spherical and Cylindrical Inclusions
Kristina Berladir, Dmytro Zhyhylii, O. P. Gaponova, et al.
Polymers (2022) Vol. 14, Iss. 10, pp. 2087-2087
Open Access | Times Cited: 7
Machine Learning-Assisted Tensile Modulus Prediction for Flax Fiber/Shape Memory Epoxy Hygromorph Composites
Tarik Sadat
Applied Mechanics (2023) Vol. 4, Iss. 2, pp. 752-762
Open Access | Times Cited: 2
Application of machine learning in predicting mechanical properties of sandcrete blocks made from quarry dust: a review
John Igeimokhia Braimah, Wasiu O. Ajagbe, Kolawole Adisa Olonade
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Assessment of the Bonding Force between the Thin NiTi Wire and 3D Printed Polymeric Matrix
Sebastian Sławski, Jonasz Hartwich, Rafał Bartusiak, et al.
(2024), pp. 73-77
Closed Access
Numerical Analysis of Shock Wave Impact on a Gas Cylinder
Daniel Wrazidło, Sebastian Sławski, Edyta Krzystała, et al.
Lecture notes in networks and systems (2024), pp. 196-207
Closed Access
Influence of Citrus Fruit Waste Filler on the Physical Properties of Silicone-Based Composites
Maciej Mrówka, Dawid Franke, M. Ošlejšek, et al.
Materials (2023) Vol. 16, Iss. 19, pp. 6569-6569
Open Access | Times Cited: 1
Mechanical and tribological properties of epoxy composites reinforced with food-waste fillers
Kamil Joszko, Bożena Gzik‐Zroska, Marek Gzik, et al.
Journal of Achievements of Materials and Manufacturing Engineering (2023) Vol. 120, Iss. 2 extended, pp. 49-58
Closed Access
Page 1

Scroll to top