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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:

Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Barshan Dev, Md Ashikur Rahman, Md. Jahidul Islam, et al.
Materials Today Communications (2023) Vol. 38, pp. 107659-107659
Closed Access | Times Cited: 15

Showing 15 citing articles:

Mechanical and thermal properties of unidirectional jute/snake plant fiber-reinforced epoxy hybrid composites
Barshan Dev, Ayub Nabi Khan, Md Ashikur Rahman, et al.
Industrial Crops and Products (2024) Vol. 218, pp. 118903-118903
Closed Access | Times Cited: 16
A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites
Sherif S. Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly
Heliyon (2024) Vol. 10, Iss. 13, pp. e33681-e33681
Open Access | Times Cited: 8
Design automation of sustainable self-compacting concrete containing fly ash via data driven performance prediction
Tianyi Cui, Sivakumar Kulasegaram, Haijiang Li
Journal of Building Engineering (2024) Vol. 87, pp. 108960-108960
Open Access | Times Cited: 6
Exploratory literature review and scientometric analysis of artificial intelligence applied to geopolymeric materials
Aldo Ribeiro de Carvalho, Romário Parreira Pita, Thaís Mayra de Oliveira, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110210-110210
Closed Access
A review on properties and multi-objective performance predictions of concrete based on machine learning models
Bowen Ni, Md Zillur Rahman, Shuaicheng Guo, et al.
Materials Today Communications (2025), pp. 112017-112017
Closed Access
Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Eggshell bio‐filler integration in jute/banana fiber‐reinforced epoxy hybrid composites: Fabrication and characterization
Barshan Dev, Md Ashikur Rahman, Ayub Nabi Khan, et al.
Journal of Applied Polymer Science (2024) Vol. 141, Iss. 44
Closed Access | Times Cited: 2
Predictions of Mechanical Properties of Fiber Reinforced Concrete using Ensemble Learning Models
Ningyue Su, Shuaicheng Guo, Caijun Shi, et al.
Journal of Building Engineering (2024) Vol. 98, pp. 110990-110990
Closed Access | Times Cited: 2
Mechanical, Wear, and Low-Velocity Impact Studies of AL7075/Basalt/Mica Particle Hybrid Metal Matrix Composite through Stir Casting Route
K. Arunprasath, P. Amuthakkannan, R. Sundarakannan, et al.
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 2
Fabrication, properties, and morphologies of hybrid polymer composites reinforced with jute and Rosa hybrida fibers
Barshan Dev, Md Ashikur Rahman, Md Zillur Rahman, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 33, pp. 15676-15694
Closed Access | Times Cited: 1
Machine Learning and Optimization Algorithms for Vibration, Bending and Buckling Analyses of Composite/Nanocomposite Structures: A Systematic and Comprehensive Review
Dervis Baris Ercument, Babak Safaei, Saeid Sahmani, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
Machine learning-based constitutive modelling for material non-linearity: A review
Arif Hussain, Amir Hosein Sakhaei, Mahmood Shafiee
Mechanics of Advanced Materials and Structures (2024), pp. 1-19
Open Access | Times Cited: 1
Application of Machine Learning in Constitutive Relationship Prediction of Porous Titanium Materials for Artificial Bone
Chengzhi Tan, Chunjin Li, Zhiqiang Liu
Metals (2024) Vol. 14, Iss. 6, pp. 634-634
Open Access
Multiscale Glass Fiber/Epoxy Nanocomposites Incorporated with Graphene and Zinc Oxide Nanoparticles: Enhanced Mechanical Properties
Barshan Dev, Shah Ashiquzzaman Nipu, Md Ashikur Rahman, et al.
Macromolecular Materials and Engineering (2024) Vol. 310, Iss. 1
Open Access
OPTIMIZING TOUGHNESS IN HIGH ENTROPY ALLOYS USING A GENETIC ALGORITHM: A COMBINED COMPUTATIONAL AND EXPERIMENTAL APPROACH
Caroline Binde Stoco, Daniel R. Cassar, Geovana Lira Santana, et al.
Materials Today Communications (2024), pp. 110768-110768
Closed Access
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