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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:

Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
Vikas Mehta
Journal of Building Engineering (2023) Vol. 70, pp. 106363-106363
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Multi objective optimization of recycled aggregate concrete based on explainable machine learning
Shiqi Wang, Peng Xia, Fuyuan Gong, et al.
Journal of Cleaner Production (2024) Vol. 445, pp. 141045-141045
Closed Access | Times Cited: 41
Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis
Fadi Almohammed, Mohindra Singh Thakur, Daeho Lee, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134936-134936
Closed Access | Times Cited: 18
Assessing the compressive and splitting tensile strength of self-compacting recycled coarse aggregate concrete using machine learning and statistical techniques
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Materials Today Communications (2023) Vol. 38, pp. 107970-107970
Open Access | Times Cited: 36
Predictive models in machine learning for strength and life cycle assessment of concrete structures
A. Dinesh, B. Rahul Prasad
Automation in Construction (2024) Vol. 162, pp. 105412-105412
Closed Access | Times Cited: 13
Study on frost resistance and life prediction of microbial self-healing concrete based on expanded perlite as carrier
Yifan Yan, Hongxiang Tian, Wei Liu, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109693-109693
Closed Access | Times Cited: 12
A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concrete
Seyed Soroush Pakzad, Mansour Ghalehnovi, Atiye Ganjifar
Case Studies in Construction Materials (2024) Vol. 20, pp. e03092-e03092
Open Access | Times Cited: 11
Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis
Rajwinder Singh, Rupesh Kumar Tipu, Ajaz Ahmad Mir, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 9
A Comparative Analysis of the Predictive Performance of Tree-Based and Artificial Neural Network Approaches for Compressive Strength of Concrete Utilising Waste
Suhaib Rasool Wani, Manju Suthar
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 6
AI-Driven Prediction of Compressive Strength in Self-Compacting Concrete: Enhancing Sustainability through Ultrasonic Measurements
Mouhcine Benaicha
Sustainability (2024) Vol. 16, Iss. 15, pp. 6644-6644
Open Access | Times Cited: 5
Towards sustainable use of foundry by-products: Evaluating the compressive strength of green concrete containing waste foundry sand using hybrid biogeography-based optimization with artificial neural networks
Ramin Kazemi, M.Z. Naser
Journal of Building Engineering (2023) Vol. 76, pp. 107252-107252
Closed Access | Times Cited: 13
Comparative Analysis of Machine Learning Models for Predicting the Compressive Strength of Ultra-High-Performance Steel Fiber Reinforced Concrete
Md Sohel Rana, Md Minaz Hossain, Fangyuan Li
Journal of Engineering Research (2025)
Open Access
Machine Learning for predicting strength properties of waste iron slag concrete
Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e42133-e42133
Open Access
An Interpretable XGBoost-SHAP Machine Learning Model for Reliable Prediction of Mechanical Properties in Waste Foundry Sand-Based Eco-Friendly Concrete
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2025), pp. 104307-104307
Open Access
Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach
Nhat‐Duc Hoang, Nguyen Quoc-Lam
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Potential Use of Recycled Foundry Sand as Fine Aggregate in Self-Compacting Concrete: Sustainable Engineering Research
Ranjitha B. Tangadagi, P. T. Ravichandran
Buildings (2025) Vol. 15, Iss. 5, pp. 815-815
Open Access
How machine learning can transform the future of concrete
Kaoutar Mouzoun, Azzeddine Bouyahyaoui, Hanane Moulay Abdelali, et al.
Asian Journal of Civil Engineering (2025)
Closed Access
A comprehensive study on enhancing of the mechanical properties of steel fiber-reinforced concrete through nano-silica integration
Anbuchezian Ashokan, Silambarasan Rajendran, Ratchagaraja Dhairiyasamy
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Using artificial intelligence methods to predict the compressive strength of concrete containing sugarcane bagasse ash
Gholamreza Pazouki, Zhong Tao, Nariman Saeed, et al.
Construction and Building Materials (2023) Vol. 409, pp. 134047-134047
Open Access | Times Cited: 9
Predicting mechanical properties of sustainable green concrete using novel machine learning: Stacking and gene expression programming
Muhammad Waqas Ashraf, Adnan Khan, Yongming Tu, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Machine learning based prediction of compressive and flexural strength of recycled plastic waste aggregate concrete
Yılmaz Yılmaz, Safa Nayır
Structures (2024) Vol. 69, pp. 107363-107363
Closed Access | Times Cited: 3
Prediction of fracture toughness of concrete using the machine learning approach
Alireza Bagher Shemirani
Theoretical and Applied Fracture Mechanics (2024) Vol. 134, pp. 104749-104749
Closed Access | Times Cited: 3
Sustainable concrete production using toxic foundry sand and its subsequent effect on water contamination
Rewa Bochare, Monika Dagliya, Nishek Paliwal, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171551-171551
Closed Access | Times Cited: 2
Assessing the compressive strength of eco-friendly concrete made with rice husk ash: A hybrid artificial intelligence-aided technique
Ramin Kazemi, Seyed Ali Emamian, Mehrdad Arashpour
Structures (2024) Vol. 68, pp. 107050-107050
Closed Access | Times Cited: 2
Study on Freeze–Thaw Resistance of Cement Concrete with Manufactured Sand Based on BP Neural Network
Hengyu Wu, Qiju Gao
Buildings (2024) Vol. 14, Iss. 9, pp. 2952-2952
Open Access | Times Cited: 2
Advanced machine learning techniques for predicting concrete mechanical properties: a comprehensive review of models and methodologies
Fangyuan Li, Md. Sohel Rana, Muhammad Ahmed Qurashi
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
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