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:

Topology optimization via machine learning and deep learning: a review
Seungyeon Shin, Dongju Shin, Namwoo Kang
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 4, pp. 1736-1766
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Deep learning in computational mechanics: a review
Leon Herrmann, Stefan Kollmannsberger
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 281-331
Open Access | Times Cited: 26

Topology optimization methods for thermal metamaterials: A review
Wei Sha, Mi Xiao, Yihui Wang, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 227, pp. 125588-125588
Closed Access | Times Cited: 20

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

Dynamically configured physics-informed neural network in topology optimization applications
Jichao Yin, Ziming Wen, Shuhao Li, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 426, pp. 117004-117004
Open 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: 5

Topology optimization design of continuous body structures with single-phase materials
Zhonghao Liu, Zhen Liu
Journal of Physics Conference Series (2025) Vol. 2951, Iss. 1, pp. 012141-012141
Open Access

Physically reliable 3D styled shape generation via structure-aware topology optimization in unified latent space
Haroon Ijaz, Xuwei Wang, Wei Chen, et al.
Computer-Aided Design (2025), pp. 103864-103864
Closed Access

Runner system geometry prediction using variational autoencoder deep learning model
Evgenii Kurkin, Jose Gabriel Quijada Pioquinto, Vladislava Chertykovtseva, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110555-110555
Closed Access

Establishing Efficacy of Machine Learning Techniques for Vulnerability Information of Tubular Buildings
Muhammad Zain, Suraparb Keawsawasvong, Chanachai Thongchom, et al.
Engineered Science (2023)
Open Access | Times Cited: 13

Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials
Min Woo Cho, Seok Hyeon Hwang, Jun-Young Jang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108595-108595
Closed Access | Times Cited: 5

Low fidelity data driven machine learning based optimisation method for box-wing configuration
Mehedi Hasan, Azad Khandoker, Guido Gessl, et al.
Aerospace Science and Technology (2024) Vol. 150, pp. 109169-109169
Open Access | Times Cited: 4

Design optimization of heat exchanger using deep reinforcement learning
Geunhyeong Lee, Younghwan Joo, Sung‐Uk Lee, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 107991-107991
Closed Access | Times Cited: 4

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: 4

Machine learning in additive manufacturing: enhancing design, manufacturing and performance prediction intelligence
Teng Wang, Yanfeng Li, Taoyong Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access

Practice and Research Optimization Environment in Python (PyPROE)
Christopher Jaus, Kaelyn Haynie, Michael Mulligan, et al.
Computers (2025) Vol. 14, Iss. 2, pp. 54-54
Open Access

An advanced topology optimization technique for high-resolution designs at arbitrary scale
Chang Liu, Shu Li, Jiayang Liu, et al.
Engineering Optimization (2025), pp. 1-27
Closed Access

Data-driven reliability-based topology optimization by using the extended multi scale finite element method and neural network approach
Zeng Meng, Shunsheng Lv, Yongxin Gao, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117837-117837
Closed Access

Machine learning in design for additive manufacturing: A state-of-the-art discussion for a support tool in product design lifecycle
Michele Trovato, Luca Belluomo, Michele Bici, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Open Access

Machine learning for inverse design of acoustic and elastic metamaterials
Krupali Donda, Pankit Brahmkhatri, Yifan Zhu, et al.
Current Opinion in Solid State and Materials Science (2025) Vol. 35, pp. 101218-101218
Open Access

Direct inversion method for the retrieval of ozone number density profiles from observations of solar radiation scattering by the atmospheric limb
D. Fussen, Noël Baker, Antonin Berthelot, et al.
Journal of Quantitative Spectroscopy and Radiative Transfer (2025), pp. 109426-109426
Open Access

Local search-based online learning algorithm for shape and cross-section optimization of free-form single-layer reticulated shells
Qiang Zeng, Makoto Ohsaki, Kazuki Hayashi, et al.
Automation in Construction (2025) Vol. 174, pp. 106144-106144
Closed Access

A Novel YOLOv10-DECA Model for Real-Time Detection of Concrete Cracks
Chaokai Zhang, Ningbo Peng, Jiaheng Yan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3230-3230
Open Access | Times Cited: 3

Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforcement Learning Algorithm
Jiaxin Li, Peng Yi, Tong Duan, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21083-21091
Closed Access | Times Cited: 2

Virtual-Trim: A parametric geometric modeling method for heterogeneous strut-based lattice structures
Zhuangyu Li, Wenlei Xiao, Gang Zhao, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 2, pp. 345-364
Open Access | Times Cited: 2

On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review
A. B. Hurtado-Pérez, Abraham de Jesús Pablo-Sotelo, F. Ramírez-López, et al.
Aerospace (2023) Vol. 10, Iss. 12, pp. 1025-1025
Open Access | Times Cited: 5

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