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:

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

Showing 10 citing articles:

Comparative Analysis of Machine Learning Models for Predicting the Mechanical Behavior of Bio-Based Cellular Composite Sandwich Structures
Danial Sheini Dashtgoli, Seyedahmad Taghizadeh, Lorenzo Macconi, et al.
Materials (2024) Vol. 17, Iss. 14, pp. 3493-3493
Open Access | Times Cited: 6
Review on Mechanical Performance of Fibre-Reinforced Plastics in Marine Environments
Norman Osa-uwagboe, Vadim V. Silberschmidt, Emrah Demirci
Applied Composite Materials (2024)
Open Access | Times Cited: 5
Data‐driven machine learning regression methods to predict the residual strength in FRP composites subjected to fatigue
Anand Gaurav
Polymer Composites (2025)
Closed Access
Machine learning-based optimization of impact-resistant layups for FRP hybrid laminates in yachts
Miaomiao Zhang, Qing‐Lin Chen, Jiayong Zhuo, et al.
Ocean Engineering (2025) Vol. 324, pp. 120600-120600
Closed Access
Multi-Criteria and CNN Analysis of Al2O3/ TiO2/ Egg Shell/ ATH Ceramic Fillers in Glass Fiber-epoxy composites
H. Mohit, V.V. Vamsi Krishna, Sanjay Mavinkere Rangappa, et al.
Journal of Materials Research and Technology (2025)
Open Access
A function online learning and prediction method for accelerating structural topology optimization and its application to pneumatic soft actuator
Yi Xing, Yifu Lu, Liyong Tong
Thin-Walled Structures (2025), pp. 112942-112942
Open Access
Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant
Francis T. Omigbodun, Norman Osa-uwagboe, Amadi Gabriel Udu, et al.
Biomimetics (2024) Vol. 9, Iss. 10, pp. 587-587
Open Access | Times Cited: 3
Effects of Seawater on Mechanical Performance of Composite Sandwich Structures: A Machine Learning Framework
Norman Osa-uwagboe, Amadi Gabriel Udu, Vadim V. Silberschmidt, et al.
Materials (2024) Vol. 17, Iss. 11, pp. 2549-2549
Open Access | Times Cited: 3
A comprehensive review of water entry/exit of lifeboats and occupant safety
Di Wang, Ningge Fan, Binyi Liang, et al.
Ocean Engineering (2024) Vol. 310, pp. 118768-118768
Closed Access | Times Cited: 2
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
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
Page 1

Scroll to top