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OpenAlex Citation Counts

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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 multiscale framework for mechanical behavior of nano-crystalline structures
A.R. Khoei, Mohammad Reza Seddighian, A. Rezaei Sameti
International Journal of Mechanical Sciences (2023) Vol. 265, pp. 108897-108897
Closed Access | Times Cited: 12

Showing 12 citing articles:

A novel framework to predict transversal and shear parameters of unidirectional composites by combining experimental, numerical and machine learning methods
Siqi Cheng, Xiaoyu Wang, Yuxuan Gao, et al.
Polymer Composites (2025)
Closed Access | Times Cited: 1
Crash energy management optimization of high-speed trains by machine learning methods
Shaodong Zheng, Lin Jing, Kai Liu, et al.
International Journal of Mechanical Sciences (2024) Vol. 270, pp. 109108-109108
Closed Access | Times Cited: 7
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
Fernando Gomes de Souza, Shekhar Bhansali, Kaushik Pal, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1088-1088
Open Access | Times Cited: 7
A machine learning strategy for enhancing the strength and toughness in metal matrix composites
Zhiyan Zhong, Jun An, Dian Wu, et al.
International Journal of Mechanical Sciences (2024) Vol. 281, pp. 109550-109550
Closed Access | Times Cited: 7
Robust detection of ductile fracture by acoustic emission data-driven unsupervised learning
Jong-Hyeok Kwon, Tam Nguyen‐Nhat, Minh Tien Tran, et al.
International Journal of Mechanical Sciences (2024) Vol. 277, pp. 109420-109420
Closed Access | Times Cited: 5
Machine learning-assisted wood materials: Applications and future prospects
Yuqi Feng, Saad Mekhilef, David Hui, et al.
Extreme Mechanics Letters (2024) Vol. 71, pp. 102209-102209
Closed Access | Times Cited: 4
Characterization of integrated nanomaterials using deep learning method-based Mantis search algorithm
L. Gowrisankar, J. Ganesh Murali, Y. Dominic Ravichandiran
Journal of Computational Electronics (2025) Vol. 24, Iss. 2
Closed Access
A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films
Ruijin Wang, Tianquan Ying, Chen Yang, et al.
Thin-Walled Structures (2024) Vol. 200, pp. 111984-111984
Closed Access | Times Cited: 3
Reactive molecular dynamics analysis of alumina nano-powders under warm compaction process
A.R. Khoei, M Vafaei Sefti, A. Rezaei Sameti
Advanced Powder Technology (2024) Vol. 35, Iss. 12, pp. 104702-104702
Closed Access | Times Cited: 2
Mechanical characteristics of die-wall friction on the compaction process of metal nano-powders
A.R. Khoei, A. Rezaei Sameti, Zahra Kazempour, et al.
Powder Technology (2024) Vol. 444, pp. 119987-119987
Closed Access | Times Cited: 1
Atomistic and continuum Ascertainment of The crack tip stress fields in anisotropic elastic cubic media
Л. В. Степанова, K. A. Mushankova
Theoretical and Applied Fracture Mechanics (2024) Vol. 133, pp. 104613-104613
Closed Access | Times Cited: 1
Atomistic and Continuum Ascertainment of the Crack Tip Stress Fields in Anisotropic Elastic Cubic Media
Л. В. Степанова, K. A. Mushankova
(2024)
Closed Access
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