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:

Comparison of ML algorithms for prediction of tensile strength of polymer matrix composites
Aditi Mahajan, Simran Bajoliya, Shanu Khandelwal, et al.
Materials Today Proceedings (2022)
Closed Access | Times Cited: 8

Showing 8 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
Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers
Md. Jamal Uddin, Jitang Fan
Polymers (2024) Vol. 16, Iss. 8, pp. 1049-1049
Open Access | Times Cited: 14
A machine learning-enabled prediction of damage properties for fiber-reinforced polymer composites under out-of-plane loading
Norman Osa-uwagboe, Amadi Gabriel Udu, Maryam Khaksar Ghalati, et al.
Engineering Structures (2024) Vol. 308, pp. 117970-117970
Open Access | Times Cited: 10
Natural Fiber Composites: A Comprehensive Review on Machine Learning Methods
Timothy K. Mulenga, Sanjay Mavinkere Rangappa, Suchart Siengchin
Archives of Computational Methods in Engineering (2025)
Closed Access
Optimized random forest model for predicting flexural properties of sustainable composites
Aditi Mahajan, Sandeep Gairola, Inderdeep Singh, et al.
Polymer Composites (2024) Vol. 45, Iss. 12, pp. 10700-10710
Closed Access | Times Cited: 2
Machine learning assisted analysis and prediction of rubber formulation using existing databases
Wei Deng, Yuehua Zhao, Yafang Zheng, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100054-100054
Open Access
Random Forest Modeling for Prediction of Thrust Force During Drilling of Flax/PP Composite
Deepak Kaushik, Aditi Mahajan, Inderdeep Singh
Lecture notes in networks and systems (2024), pp. 281-288
Closed Access
Predicting Impact Strength of Natural Fiber Composites Using Optimized Gradient Boosting Approach
Aditi Mahajan, Inderdeep Singh, Navneet Arora
Lecture notes in networks and systems (2024), pp. 177-184
Closed Access
Tree-Based Machine Learning Approach for Predicting the Impact Behavior of Carbon/Flax Bio-Hybrid Fiber-Reinforced Polymer Composite Laminates
Manzar Masud, Aamir Mubashar, Shahid Iqbal, et al.
(2024) Vol. 217, pp. 23-23
Open Access
Page 1

Scroll to top