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:
Machine learning based inverse framework for predicting the transverse and shear modulus of carbon fiber
P. V. Divakarraju, Neeraj Mishra, V. Pandurangan, et al.
Computational Materials Science (2023) Vol. 230, pp. 112518-112518
Closed Access | Times Cited: 5
P. V. Divakarraju, Neeraj Mishra, V. Pandurangan, et al.
Computational Materials Science (2023) Vol. 230, pp. 112518-112518
Closed Access | Times Cited: 5
Showing 5 citing articles:
Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo System and Machine Learning Modeling
Suresh Poyil Subramanyam, Dilip Kumar Kotikula, Basavaraju Bennehalli, et al.
ACS Omega (2024)
Open Access | Times Cited: 8
Suresh Poyil Subramanyam, Dilip Kumar Kotikula, Basavaraju Bennehalli, et al.
ACS Omega (2024)
Open Access | Times Cited: 8
Predicting density-related mechanical properties of amorphous silicon nitride using molecular dynamics simulations
Yuncan Pan, Yin Liu, Peiyi Wang, et al.
Journal of Non-Crystalline Solids (2024) Vol. 633, pp. 122963-122963
Closed Access | Times Cited: 1
Yuncan Pan, Yin Liu, Peiyi Wang, et al.
Journal of Non-Crystalline Solids (2024) Vol. 633, pp. 122963-122963
Closed Access | Times Cited: 1
Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning
Héctor Lobato, Carlos Cernuda, Kepa Zulueta, et al.
International Journal of Solids and Structures (2024) Vol. 304, pp. 113014-113014
Closed Access | Times Cited: 1
Héctor Lobato, Carlos Cernuda, Kepa Zulueta, et al.
International Journal of Solids and Structures (2024) Vol. 304, pp. 113014-113014
Closed Access | Times Cited: 1
Predicting transverse thermal conductivity of flax-fiber using micromechanical model based inverse framework
V. Subramanyam, V. Pandurangan, M. Nithyadharan
International Communications in Heat and Mass Transfer (2024) Vol. 160, pp. 108375-108375
Closed Access
V. Subramanyam, V. Pandurangan, M. Nithyadharan
International Communications in Heat and Mass Transfer (2024) Vol. 160, pp. 108375-108375
Closed Access
Predicting Density-Related Mechanical Properties of Amorphous Silicon Nitride Using Molecular Dynamics Simulations
Yuncan Pan, Yin Liu, Peiyi Wang, et al.
(2023)
Closed Access
Yuncan Pan, Yin Liu, Peiyi Wang, et al.
(2023)
Closed Access
