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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:

Prediction of ideal strength by machine learning
Zhao Liu, Biao Wang
Materials Chemistry and Physics (2023) Vol. 299, pp. 127476-127476
Closed Access | Times Cited: 11

Showing 11 citing articles:

Advanced strategies for the synthesis and modulation of 2D layered heterostructures for energy conversion and storage applications
Waseem Raza, Attia Shaheen, Noureen Amir Khan, et al.
Progress in Materials Science (2024) Vol. 146, pp. 101325-101325
Closed Access | Times Cited: 16
Glass Waste Circular Economy - Advancing to High-Value Glass Sheets Recovery using Industry 4.0 and 5.0 technologies
Seyed Ali Delbari, Lucas A. Hof
Journal of Cleaner Production (2024) Vol. 462, pp. 142629-142629
Open Access | Times Cited: 8
Machine learning-assisted extrusion-based 3D bioprinting for tissue regeneration applications
Devara Venkata Krishna, Mamilla Ravi Sankar
Annals of 3D Printed Medicine (2023) Vol. 12, pp. 100132-100132
Open Access | Times Cited: 11
Prediction model of thermal behavior of lithium battery module under high charge-discharge rate
Yong Zhang, He Liu, Shuichang Liu, et al.
Journal of Energy Storage (2023) Vol. 74, pp. 109366-109366
Closed Access | Times Cited: 11
The Prediction of Wear Depth Based on Machine Learning Algorithms
Chenrui Zhu, Lei Jin, Weidong Li, et al.
Lubricants (2024) Vol. 12, Iss. 2, pp. 34-34
Open Access | Times Cited: 4
Tensile and shear deformation of Al/TiB2 interface with X-doped (X = Cr, Cu, Mg, Mn, Pb, Si, Zn): A first-principles study
Yuanyuan Zhu, Yi Kong, Shunming Yang, et al.
Computational Materials Science (2025) Vol. 250, pp. 113683-113683
Closed Access
Machine learning analysis for the rheological mechanism of polysaccharide colloids
Xiaoman Liu, Hu Lei, Shilong Chen, et al.
Journal of Molecular Liquids (2025) Vol. 424, pp. 127093-127093
Closed Access
Application of adaptive harmony search and machine learning on optimization problems about strength of materials
Yaren Aydın, Sinan Melih Niğdeli, Gebrai̇l Bekdaş, et al.
Elsevier eBooks (2025), pp. 273-295
Closed Access
First-principles prediction on the structural stability, electronic, optical and mechanical properties of TiBC, Ti6Si2B and Ti6Ge2B
Xiaoming Wang, He Ma, Xudong Zhang, et al.
Physica B Condensed Matter (2024) Vol. 683, pp. 415928-415928
Closed Access | Times Cited: 1
The elemental effects on the H2 dissociative adsorption on FeCrAl (110) surface
Xiaojing Li, Shuying Lin, Wenzhong Zhou, et al.
International Journal of Hydrogen Energy (2023) Vol. 51, pp. 894-908
Closed Access | Times Cited: 2
First-Principles Prediction on the Structural Stability, Electronic, Optical and Mechanical Properties of Tibc, Ti6si2b and Ti6ge2b
Xiaoming Wang, He Ma, Xudong Zhang, et al.
(2023)
Closed Access
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