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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:

A review of artificial neural networks in the constitutive modeling of composite materials
Xin Liu, Su Tian, Fei Tao, et al.
Composites Part B Engineering (2021) Vol. 224, pp. 109152-109152
Closed Access | Times Cited: 279

Showing 1-25 of 279 citing articles:

Advanced honeycomb designs for improving mechanical properties: A review
Chang Qi, Feng Jiang, Shu Yang
Composites Part B Engineering (2021) Vol. 227, pp. 109393-109393
Closed Access | Times Cited: 420
Intelligent Computing: The Latest Advances, Challenges, and Future
Shiqiang Zhu, Ting Yu, Tao Xu, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 127
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Filippo Masi, Ioannis Stefanou
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 398, pp. 115190-115190
Open Access | Times Cited: 93
Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
Water Resources Research (2022) Vol. 58, Iss. 5
Open Access | Times Cited: 84
FE$${}^\textrm{ANN}$$: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining
Karl A. Kalina, Lennart Linden, Jörg Brummund, et al.
Computational Mechanics (2023) Vol. 71, Iss. 5, pp. 827-851
Open Access | Times Cited: 57
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review
Jun-Hyeong Lee, Donggeun Park, Mingyu Lee, et al.
Materials Horizons (2023) Vol. 10, Iss. 12, pp. 5436-5456
Closed Access | Times Cited: 41
Heat transfer analysis in a longitudinal porous trapezoidal fin by non-Fourier heat conduction model: An application of artificial neural network with Levenberg–Marquardt approach
J. Suresh Goud, Pudhari Srilatha, R. S. Varun Kumar, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103265-103265
Open Access | Times Cited: 40
M‐PINN: A mesh‐based physics‐informed neural network for linear elastic problems in solid mechanics
Lu Wang, Guangyan Liu, Wang Guanglun, et al.
International Journal for Numerical Methods in Engineering (2024) Vol. 125, Iss. 9
Closed Access | Times Cited: 29
Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review
Dipjyoti Nath, Ankit, Debanga Raj Neog, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2945-2984
Closed Access | Times Cited: 26
Facile fabrication of Nd2O3/Sm2O3 nanocomposite as a robust electrode material for energy storage applications
Muhammad Rafeeq, Syed Imran Abbas Shah, Karam Jabbour, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111580-111580
Closed Access | Times Cited: 23
Comprehensive Composite Mould Filling Pattern Dataset for Process Modelling and Prediction
Boon Xian Chai, Jinze Wang, Thanh Kim Mai Dang, et al.
Journal of Composites Science (2024) Vol. 8, Iss. 4, pp. 153-153
Open Access | Times Cited: 23
Enhancing machining accuracy of banana fiber-reinforced composites with ensemble machine learning
S. Saravanakumar, S. Sathiyamurthy, V. Vinoth
Measurement (2024) Vol. 235, pp. 114912-114912
Closed Access | Times Cited: 23
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 20
Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks
Shahed Rezaei, Ahmad Moeineddin, Ali M. Harandi
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 333-366
Closed Access | Times Cited: 16
Machine-learning-assisted multiscale modeling strategy for predicting mechanical properties of carbon fiber reinforced polymers
Guomei Zhao, Tianhao Xu, Xuemeng Fu, et al.
Composites Science and Technology (2024) Vol. 248, pp. 110455-110455
Closed Access | Times Cited: 16
Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures
M. El Fallaki Idrissi, Francis Praud, Fodil Meraghni, et al.
Journal of the Mechanics and Physics of Solids (2024) Vol. 186, pp. 105604-105604
Open Access | Times Cited: 16
A configuration-driven nonlocal model for functionally graded lattices
Shuo Li, Ke Duan, Y.J. He, et al.
International Journal of Engineering Science (2025) Vol. 209, pp. 104222-104222
Closed Access | Times Cited: 3
Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution
Dongxiao Wang, Qiangqiang Zhu, Zhenxiong Wei, et al.
Journal of Alloys and Compounds (2022) Vol. 908, pp. 164580-164580
Closed Access | Times Cited: 62
A review of advanced materials, structures and deformation modes for adaptive energy dissipation and structural crashworthiness
John Magliaro, William Altenhof, A.T. Alpas
Thin-Walled Structures (2022) Vol. 180, pp. 109808-109808
Closed Access | Times Cited: 49
Bayesian-EUCLID: Discovering hyperelastic material laws with uncertainties
Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 398, pp. 115225-115225
Open Access | Times Cited: 46
Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites
Faramarz Bagherzadeh, Torkan Shafighfard
Case Studies in Construction Materials (2022) Vol. 17, pp. e01537-e01537
Open Access | Times Cited: 45
Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms
Weixun Yong, Wengang Zhang, Hoang Nguyen, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108335-108335
Closed Access | Times Cited: 42
A deep learning method for fast predicting curing process-induced deformation of aeronautical composite structures
Shuaijie Fan, Junming Zhang, Biao Wang, et al.
Composites Science and Technology (2022) Vol. 232, pp. 109844-109844
Closed Access | Times Cited: 38
Damage localization for composite structure using guided wave signals with Gramian angular field image coding and convolutional neural networks
Yunlai Liao, Xinlin Qing, Yihan Wang, et al.
Composite Structures (2023) Vol. 312, pp. 116871-116871
Closed Access | Times Cited: 36
Review of machine learning-based surrogate models of groundwater contaminant modeling
Jiannan Luo, Xi Ma, Yefei Ji, et al.
Environmental Research (2023) Vol. 238, pp. 117268-117268
Closed Access | Times Cited: 35
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