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 Composite Mechanical Properties: Integration of Deep Neural Network Methods and Finite Element Analysis
Kimia Gholami, Faraz Ege, Ramin Barzegar
Journal of Composites Science (2023) Vol. 7, Iss. 2, pp. 54-54
Open Access | Times Cited: 15

Showing 15 citing articles:

Deep Learning Techniques for Predicting Stress Fields in Composite Materials: A Superior Alternative to Finite Element Analysis
Yasin Shokrollahi, Matthew M. Nikahd, Kimia Gholami, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 8, pp. 311-311
Open Access | Times Cited: 11

Applications of Deep Learning for Composites Materials
Deepali Verma, Akarsh Verma, Aman Verma, et al.
(2024), pp. 195-213
Closed Access | Times Cited: 1

Time mesh independent framework for learning materials constitutive relationships
Marcello Laurenti, Qing‐Jie Li, Ju Li
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109165-109165
Closed Access | Times Cited: 1

Prediction of thermo-mechanical properties of PCB conductive layers using convolutional neural networks
Mariia Shevchuk, Christian Schipfer, Matthias Haselmann, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3

Bending analysis of glass fiber reinforced epoxy composites/copper-clad laminates for multi-layer printed circuit boards
Md. Nazmul Islam, Md Sayed Anwar, Md Shariful Islam, et al.
Hybrid Advances (2023) Vol. 4, pp. 100090-100090
Open Access | Times Cited: 3

Lightweight Bi-LSTM method for the prediction of mechanical properties of concrete
Mrinal Anand, M. Anand, Minwoong Joe, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 54863-54884
Closed Access | Times Cited: 2

Deep Learning-Based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment
Yasin Shokrollahi, Pengfei Dong, Changchun Zhou, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 379-379
Open Access | Times Cited: 2

Machine Learning-Enabled Data-Driven Research on Paper-Reinforced Composite Materials
Saureng Kumar, Sanjeev Kumar, Sachin Sharma
Materials horizons (2024), pp. 327-339
Closed Access

Predicting Mechanical Properties from Microstructure Images in Fiber-Reinforced Polymers Using Convolutional Neural Networks
Yixuan Sun, Imad Hanhan, Michael D. Sangid, et al.
Journal of Composites Science (2024) Vol. 8, Iss. 10, pp. 387-387
Open Access

Prediction of Net Effective Wind Pressure in Walls using Artificial Neural Network and Akaike Information Criterion
Dante Laroza Silva, Kevin Lawrence M. de Jesus, Benjamin C. Flores, et al.
(2024), pp. 86-92
Closed Access

A Deep Learning Framework for Predicting the Heterogeneous Stiffness Map of Brain White Matter Tissue
Poorya Chavoshnejad, Guangfa Li, Dehao Liu, et al.
Research Square (Research Square) (2024)
Open Access

Novel Prediction Model for Validating the Mechanical Behaviour of Composite Materials Using Deep Learning
C. R. Mahesha
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access

Mapping Stiffness Landscape of Heterogeneous and Anisotropic Fibrous Tissue
Poorya Chavoshnejad, Guangfa Li, Dehao Liu, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

Page 1

Scroll to top