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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:

Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Hanxun Jin, Enrui Zhang, Horacio D. Espinosa
Applied Mechanics Reviews (2023) Vol. 75, Iss. 6
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

When Machine Learning Meets 2D Materials: A Review
Bin Lu, Yuze Xia, Yuqian Ren, et al.
Advanced Science (2024) Vol. 11, Iss. 13
Open Access | Times Cited: 44
Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership
Kelsey L. Snapp, Benjamin Verdier, Aldair E. Gongora, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 19
Simple shear methodology for local structure–property relationships of sheet metals: State-of-the-art and open issues
Guofeng Han, Ji He, Shuhui Li, et al.
Progress in Materials Science (2024) Vol. 143, pp. 101266-101266
Closed Access | Times Cited: 16
Perspective: Machine Learning in Design for 3D/4D Printing
Xiaohao Sun, Kun Zhou, Frédéric Demoly, et al.
Journal of Applied Mechanics (2023) Vol. 91, Iss. 3
Open Access | Times Cited: 23
Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks
Zhiying Chen, Yanwei Dai, Yinghua Liu
International Journal of Fatigue (2024) Vol. 186, pp. 108382-108382
Closed Access | Times Cited: 8
Machine learning in solid mechanics: Application to acoustic metamaterial design
D. Yago, G. Sal‐Anglada, D. Roca, et al.
International Journal for Numerical Methods in Engineering (2024) Vol. 125, Iss. 14
Open Access | Times Cited: 7
A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes
Minglang Yin, Zongren Zou, Enrui Zhang, et al.
Journal of the Mechanics and Physics of Solids (2023) Vol. 181, pp. 105424-105424
Open Access | Times Cited: 15
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks
Siyuan Song, Hanxun Jin
Soft Matter (2024) Vol. 20, Iss. 30, pp. 5915-5926
Open Access | Times Cited: 5
Artificial Intelligence in Biomaterials: A Comprehensive Review
Yasemin Gokcekuyu, Fatih Ekinci, Mehmet Serdar Güzel, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6590-6590
Open Access | Times Cited: 5
Recurrent Neural Networks and Three-Point Bending Test on the Identification of Material Hardening Parameters
Daniel J. Cruz, Manuel R. Barbosa, Abel D. Santos, et al.
Metals (2024) Vol. 14, Iss. 1, pp. 84-84
Open Access | Times Cited: 4
Physics-guided machine learning for forming-limit assessments of advanced high-strength steels
Tam Nguyen‐Nhat, Minh Tien Tran, Xuan Minh Nguyen, et al.
International Journal of Mechanical Sciences (2025) Vol. 287, pp. 109959-109959
Closed Access
Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices
Peter Serles, Jinwook Yeo, Michel J.R. Haché, et al.
Advanced Materials (2025)
Open Access
Extracting mechanical properties and uniaxial stress-strain relation of materials from dual conical indentation by machine learning
Songjiang Lu
European Journal of Mechanics - A/Solids (2025), pp. 105598-105598
Closed Access
Mechanistic Insights into Hydration-driven Shape Memory Response in Keratinous Avian Feather Structures
Phani Saketh Dasika, Yunlan Zhang, Tarah N. Sullivan, et al.
Acta Biomaterialia (2025)
Closed Access
Analytical solutions of 2D orthotropic transient heat conduction problems under Robin boundary conditions within the symplectic framework
Jinbao Li, Dian Xu, C.Y.R. Cheng, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 163, pp. 108694-108694
Closed Access
Revolutionizing the Future of Smart Materials: A Review of 4D Printing, Design, Optimization, and Machine Learning Integration
Kashif Azher, Aamer Nazir, Muhammad Umar Farooq, et al.
Advanced Materials Technologies (2025)
Closed Access
Predictive stress analysis in simplified spinal disc model using physics-informed neural networks
Kwang Hyeon Kim, Hae-Won Koo, Byung-Jou Lee
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-13
Closed Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Mechanics-based design and optimization for M-loop wirebonding in flexible electronics
Guang Yang, Ao Wang, Yinji Ma, et al.
The European Physical Journal Special Topics (2025)
Closed Access
Recent advances in machine learning guided mechanical properties prediction and design of two-dimensional materials
Rui Liu, Lin Shu, Jing Wan, et al.
Thin-Walled Structures (2025), pp. 113261-113261
Closed Access
Machine learning applications in sheet metal constitutive Modelling: A review
Armando E. Marques, Tomás G. Parreira, André F. G. Pereira, et al.
International Journal of Solids and Structures (2024) Vol. 303, pp. 113024-113024
Closed Access | Times Cited: 4
Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms
Fariba Asadi, Reza Homayounfar, Yaser Mehrali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Machine learning-based constitutive modelling for material non-linearity: A review
Arif Hussain, Amir Hosein Sakhaei, Mahmood Shafiee
Mechanics of Advanced Materials and Structures (2024), pp. 1-19
Open Access | Times Cited: 4
Automated machine learning exact dirichlet boundary physics-informed neural networks for solid mechanics
Xiaoge Tian, Jiaji Wang, Chul‐Woo Kim, et al.
Engineering Structures (2025) Vol. 330, pp. 119884-119884
Open Access
Learning the non-proportional multiaxial elastic–plastic response of an aluminium alloy with neural networks
Burcu Tasdemir, Antonio Pellegrino, Xue Mei Su, et al.
Materials & Design (2025), pp. 113956-113956
Open Access
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