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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:

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee, Wei Chen, Liwei Wang, et al.
Advanced Materials (2023) Vol. 36, Iss. 8
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

AI-Based Metamaterial Design
Ece Tezsezen, Defne Yigci, Abdollah Ahmadpour, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 23, pp. 29547-29569
Open Access | Times Cited: 14
A review of inverse problems for generalized elastic media: formulations, experiments, synthesis
Roberto Fedele, Luca Placidi, Francesco Fabbrocino
Continuum Mechanics and Thermodynamics (2024) Vol. 36, Iss. 6, pp. 1413-1453
Open Access | Times Cited: 12
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 12
Phenolic multiple kinetics-dynamics and discrete crystallization thermodynamics in amorphous carbon nanostructures for electromagnetic wave absorption
Jiaqi Tao, Kexin Zou, Jintang Zhou, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity
Sihao Han, Nanfang Ma, Qiang Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111436-111436
Closed Access | Times Cited: 8
Data-driven topology optimization of mechanical metamaterials via deep neural network and material-field function
Zhengtong Han, Ze Xu, Yang Zhou, et al.
Mechanics of Advanced Materials and Structures (2025), pp. 1-17
Closed Access | Times Cited: 1
Inverse design of spinodoid structures using Bayesian optimization
Alexander Raßloff, Paul Seibert, Karl A. Kalina, et al.
Computational Mechanics (2025)
Open Access | Times Cited: 1
Nonlinear free vibration of sandwich beam with data-driven inverse-designed auxetic core based on deep learning
Xi Fang, Hui‐Shen Shen, Hai Wang
European Journal of Mechanics - A/Solids (2025), pp. 105626-105626
Closed Access | Times Cited: 1
Generative deep learning for designing irregular metamaterials with programmable nonlinear mechanical responses
Zhuoyi Wei, Jiaxin Chen, Kai Wei
International Journal of Mechanical Sciences (2025), pp. 110123-110123
Closed Access | Times Cited: 1
Large-language models: the game-changers for materials science research
Songlin Yu, Nian Ran, Jianjun Liu
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100076-100076
Open Access | Times Cited: 7
Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks
Wensi Wu, Mitchell Daneker, Kevin T. Turner, et al.
Small Methods (2024)
Open Access | Times Cited: 5
Text‐to‐Microstructure Generation Using Generative Deep Learning
Xiaoyang Zheng, Ikumu Watanabe, Jamie Paik, et al.
Small (2024)
Closed Access | Times Cited: 5
An intelligent design system for tailored metamaterial properties
Jipeng Cui, Yaoyu Wang, Liangchi Zhang, et al.
International Journal of Mechanical Sciences (2024) Vol. 282, pp. 109595-109595
Closed Access | Times Cited: 5
Nature’s Load-Bearing Design Principles and Their Application in Engineering: A Review
Firas Breish, Christian Hamm, Simone Andresen
Biomimetics (2024) Vol. 9, Iss. 9, pp. 545-545
Open Access | Times Cited: 5
Unified neural network model for predicting optical responses in gold nanostructures
Xiaobo Wang, Yu Cao, Feng Feng, et al.
Journal of Applied Physics (2025) Vol. 137, Iss. 6
Open Access
Machine learning study on magnetic structure of rare earth based magnetic materials
Dan Liu, J. J. Song, Zhixin Liu, et al.
Materials & Design (2025) Vol. 251, pp. 113710-113710
Open Access
Computational design of mechanical metamaterials through misaligned periodic microstructure
Jiaxin Zhou, Ikumu Watanabe, Keita KAMBAYASHI
Materials & Design (2025), pp. 113819-113819
Open Access
Graph-based design of irregular metamaterials
Rayehe Karimi Mahabadi, Zhi Chen, Alexander C. Ogren, et al.
International Journal of Mechanical Sciences (2025), pp. 110203-110203
Closed Access
Deep learning identifies transversely isotropic material properties using kinematics fields
Nikzad Motamedi, Hazem Wannous, Vincent Magnier
International Journal of Mechanical Sciences (2024) Vol. 283, pp. 109672-109672
Closed Access | Times Cited: 4
Enhanced Oxidation‐Resistant and Conductivity in MXene Films with Seamless Heterostructure
Wei Qian, Yunfa Si, Pengfei Chen, et al.
Small (2024)
Closed Access | Times Cited: 4
Constructing boundary-identical microstructures via guided diffusion for fast multiscale topology optimization
Jingxuan Feng, Lili Wang, Xiaoya Zhai, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117735-117735
Open Access
Data-driven multifidelity topology design with multi-channel variational auto-encoder for concurrent optimization of multiple design variable fields
Hiroki Kawabe, Kentaro Yaji, Y. Aoki
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117772-117772
Open Access
Dynamic properties and deep learning-based optimal design of hybrid shape-memory-alloy sandwich beams
Qianlong Zhang, Fabio Semperlotti
International Journal of Solids and Structures (2025), pp. 113223-113223
Closed Access
Automating alloy design and discovery with physics-aware multimodal multiagent AI
Alireza Ghafarollahi, Markus J. Buehler
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 4
Open Access
Enhancing High-Degree-of-Freedom Meta-Atom Design Precision and Speed with a Tandem Generative Network
Haolan Yang, Chuanchuan Yang, Hongbin Li
ACS Photonics (2025)
Closed Access
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