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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:

Artificial Intelligence in Materials Modeling and Design
Jiasheng Huang, Janet Liew, A.S. Ademiloye, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 5, pp. 3399-3413
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

Insight of Discrete Scale and Multiscale Methods for Characterization of Composite and Nanocomposite Materials
Taha Sheikh, Kamran Behdinan
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 1231-1265
Closed Access | Times Cited: 18
AI-enabled materials discovery for advanced ceramic electrochemical cells
Idris Temitope Bello, Ridwan Taiwo, Oladapo Christopher Esan, et al.
Energy and AI (2023) Vol. 15, pp. 100317-100317
Open Access | Times Cited: 10
Endüstri 4.0 dan Endüstri 5.0 a Geçiş: Dijital Dönüşümde Yapay Zeka ve Metaverse in Rolü (Transitioning From Industry 4.0 To Industry 5.0: The Role of Artificial Intelligence and The Metaverse in Digital Transformation)
Kemal Gökhan Nalbant, Sevgi Aydın
Turk Turizm Arastirmalari Dergisi (2025)
Open Access
Neural network for generating composition and parameters of metal alloys based on a given range of known and unknown parameters
Dmitrii Zhuro, Dmitry Viatkin, Andrey Tsykarev
EPJ Web of Conferences (2025) Vol. 321, pp. 02009-02009
Open Access
Materials Engineering and Artificial Intelligence Innovations: A Comprehensive Review
Khalid Bouiti, Youssra El Hamdouni, Najoua Labjar, et al.
Journal of Materials Engineering and Performance (2025)
Closed Access
Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance
Harshada Mhetre, Sagar Dhanraj Pande, Babita Singla, et al.
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Artificial intelligence approaches in predicting the mechanical properties of natural fiber-reinforced concrete: A comprehensive review
Mohammed Mohammed, Jawad K. Oleiwi, Aeshah M. Mohammed, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110933-110933
Closed Access
Artificial intelligence technology in materials selection, device engineering and parameter optimisation for triboelectric nanogenerator
A. Swami, Deepak Kumar Verma, Richa Soni, et al.
Materials Today Communications (2025), pp. 112553-112553
Closed Access
Data-driven multiscale simulation of solid-state batteries via machine learning
Armin Asheri, Mozhdeh Fathidoost, Vedran Glavaš, et al.
Computational Materials Science (2023) Vol. 226, pp. 112186-112186
Closed Access | Times Cited: 9
Adaptive Residual Convolutional Neural Network for Compressive Strength Prediction of Energetic Materials Using SEM Images
Lei Song, Aijun Yin, Shuhui Chen, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 056011-056011
Closed Access | Times Cited: 3
A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing
K.B. Mustapha
Advanced Engineering Informatics (2024) Vol. 64, pp. 103066-103066
Closed Access | Times Cited: 3
Topological Optimization of Artificial Neural Networks to Estimate Mechanical Properties in Metal Forming Using Machine Learning
David Merayo, Álvaro Rodríguez-Prieto, Ana María Camacho
Metals (2021) Vol. 11, Iss. 8, pp. 1289-1289
Open Access | Times Cited: 18
Predicting Mechanical Properties of Magnesium Matrix Composites with Regression Models by Machine Learning
Song‐Jeng Huang, Yudhistira Adityawardhana, Jeffry Sanjaya
Journal of Composites Science (2023) Vol. 7, Iss. 9, pp. 347-347
Open Access | Times Cited: 7
Augmenting the Crayfish Optimization with Gaussian Distribution Parameter for Improved Optimization Efficiency
Himani Daulat, Tarun Varma, Krishna Chauhan
(2024), pp. 462-470
Closed Access | Times Cited: 2
Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses
Olivia A. Graeve, Mireya S. García-Vázquez, Alejandro Á. Ramírez-Acosta, et al.
Advanced Engineering Materials (2023) Vol. 25, Iss. 9
Closed Access | Times Cited: 6
Data-driven computational framework for snap-through problems
Zengtao Kuang, Xiaowei Bai, Qun Huang, et al.
International Journal of Solids and Structures (2023) Vol. 269, pp. 112226-112226
Closed Access | Times Cited: 6
Development of an ANN-based generalized model for hardness prediction of SPSed AlCoCrCuFeMnNiW containing high entropy alloys
Sheetal Kumar Dewangan, Sumanta Samal, Vinod Kumar
Materials Today Communications (2021) Vol. 27, pp. 102356-102356
Closed Access | Times Cited: 14
Data-driven computing for nonlinear problems of composite structures based on sub-domain search technique
Zengtao Kuang, Wei Qi Yan, Kun Yu, et al.
Computers & Structures (2023) Vol. 279, pp. 106982-106982
Closed Access | Times Cited: 5
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan, Harold S. Park, Emma Lejeune
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 400, pp. 115569-115569
Open Access | Times Cited: 9
Prediction Mechanical Properties of Magnesium Matrix Composites with Regression Models by Machine Learning
Song‐Jeng Huang, Yudhistira Adityawardhana, Jeffry Sanjaya
(2023)
Open Access | Times Cited: 4
Navigating the Future of PHA Composites: A Review of Challenges and Opportunities
Abhishek Thakur, Marta Musioł, Khadar Duale, et al.
(2024)
Open Access | Times Cited: 1
Design of Shape Forming Elements for Architected Composites via Bayesian Optimization and Genetic Algorithms: A Concept Evaluation
David O. Kazmer, Rebecca H. Olanrewaju, David C. Elbert, et al.
Materials (2024) Vol. 17, Iss. 21, pp. 5339-5339
Open Access | Times Cited: 1
Predicting the Temperature-Dependent Tensile properties of Polyphenylsulfone using a Machine learning approach
Cristiano Fragassa
Composite Structures (2023) Vol. 313, pp. 116920-116920
Open Access | Times Cited: 3
Investigation of process influences on the amount of single-fiber siliconization in C/C–SiC samples by machine-learning methods
Tobias Lehnert, Bernhard Heidenreich, Dietmar Koch
Open Ceramics (2023) Vol. 15, pp. 100383-100383
Open Access | Times Cited: 3
Process optimization for enhanced tribological properties of Al/MWCNT composites produced by powder metallurgy using artificial neural networks
Türker Türkoğlu, Sare Çelik
Surface Topography Metrology and Properties (2021) Vol. 9, Iss. 4, pp. 045032-045032
Closed Access | Times Cited: 6

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