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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:

Design exploration of additively manufactured chiral auxetic structure using explainable machine learning
Akbar Afdhal, Ondřej Jiroušek, Pramudita Satria Palar, et al.
Materials & Design (2023) Vol. 232, pp. 112128-112128
Open Access | Times Cited: 15

Showing 15 citing articles:

A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
Jeewanthi Ukwaththa, Sumudu Herath, D.P.P. Meddage
Materials Today Communications (2024) Vol. 41, pp. 110294-110294
Open Access | Times Cited: 12
Effect of design parameters on auxetic behavior and stiffness of additively manufactured 316L stainless steel
Mahmoud Khedr, Hassan Elshokrofy, Aki-Petteri Pokka, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 8805-8814
Open Access | Times Cited: 6
Microstructure and compression performance of novel AlSi10Mg composite auxetic structures fabricated by additive manufacturing
Yingying Xue, Qi Shao, Jianhui Mu, et al.
Materials Science and Engineering A (2024) Vol. 897, pp. 146330-146330
Closed Access | Times Cited: 5
Discovering chiral auxetic structures with near-zero Poisson's ratio using an active learning strategy
Afdhal Afdhal, Ondřej Jiroušek, Jan Falta, et al.
Materials & Design (2024) Vol. 244, pp. 113133-113133
Open Access | Times Cited: 5
Geotechnical risk modeling using an explainable transfer learning model incorporating physical guidance
Fenghua Liu, Wenli Liu, Ang Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109127-109127
Closed Access | Times Cited: 4
Machine Learning-Based Modeling for Structural Engineering: A Comprehensive Survey and Applications Overview
Bassey B. Etim, Alia Al-Ghosoun, Jamil Renno, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3515-3515
Open Access | Times Cited: 4
Partial Dependence Plots and Data-Driven Surrogates for Aerodynamic Analysis of Airfoil Databases
Pramudita Satria Palar, Yohanes Bimo Dwianto, Koji Shimoyama, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Inverse design of a petal-shaped honeycomb with zero Poisson’s ratio and bi-directional tunable mechanical properties
Ze-Yu Chang, Hai‐Tao Liu, Guangbin Cai, et al.
Composite Structures (2025), pp. 118967-118967
Closed Access
Tensile Behavior Analysis and Intelligent Geometric Optimization of Concentric Re-entrant Auxetic Metamaterials (CREAMs)
Peng Dong, Zhi Gong, Yuanlong Li, et al.
Materials Today Communications (2025), pp. 112203-112203
Closed Access
Data-driven inverse design of auxetic metamaterials: Customizing concentric double-arrow honeycomb (CDAH) structures
Yuanlong Li, Zhi Peng Gong, Jiayi Hu, et al.
Mechanics of Advanced Materials and Structures (2025), pp. 1-15
Closed Access
Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
Shyam S. Pancholi, Munish Kumar Gupta, Marian Bartoszuk, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modelled auxetic metamaterials
Aman Garg, Anshu Sharma, Weiguang Zheng, et al.
Virtual and Physical Prototyping (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 3
Generative design of graded metamaterial arrays for dynamic response modulation
Weidi Wang, Willoughby Cheney, Alireza V. Amirkhizi
Materials & Design (2023) Vol. 237, pp. 112550-112550
Open Access | Times Cited: 6
Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models
Hugh Dorward, David Knowles, Eralp Demir, et al.
Materials & Design (2024), pp. 113409-113409
Open Access | Times Cited: 1
Integrating analytical and machine learning methods for investigating nonlinear bending and post-buckling behavior of 3D-printed auxetic tubes
Fatemeh Ghasemi, Erfan Salari, Arshia Salari, et al.
Engineering With Computers (2024)
Closed Access | Times Cited: 1
A comprehensive review on application of machine intelligence in additive manufacturing
N. Ethiraj, T. Sivabalan, J. Sofia Vincent, et al.
Turkish Journal of Engineering (2024)
Open Access
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