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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:

Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Materials (2022) Vol. 15, Iss. 10, pp. 3430-3430
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Artificial intelligence algorithms for prediction and sensitivity analysis of mechanical properties of recycled aggregate concrete: A review
Tien-Dung Nguyen, Rachid Cherif, Pierre-Yves Mahieux, et al.
Journal of Building Engineering (2023) Vol. 66, pp. 105929-105929
Open Access | Times Cited: 56
A Review: Construction and Demolition Waste as a Novel Source for CO2 Reduction in Portland Cement Production for Concrete
Kubilay Kaptan, Sandra Cunha, J. L. Barroso de Aguiar
Sustainability (2024) Vol. 16, Iss. 2, pp. 585-585
Open Access | Times Cited: 28
A Bayesian Network Framework to Predict Compressive Strength of Recycled Aggregate Concrete
Tien-Dung Nguyen, Rachid Cherif, Pierre-Yves Mahieux, et al.
Journal of Composites Science (2025) Vol. 9, Iss. 2, pp. 72-72
Open Access | Times Cited: 2
Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01759-e01759
Open Access | Times Cited: 40
Towards sustainable construction: Machine learning based predictive models for strength and durability characteristics of blended cement concrete
Majid Khan, Muhammad Faisal Javed
Materials Today Communications (2023) Vol. 37, pp. 107428-107428
Closed Access | Times Cited: 40
Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Journal of Materials Research and Technology (2023) Vol. 23, pp. 4059-4074
Open Access | Times Cited: 37
High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107527-107527
Closed Access | Times Cited: 36
Study on Thermal Degradation Processes of Polyethylene Terephthalate Microplastics Using the Kinetics and Artificial Neural Networks Models
Tanzin Chowdhury, Qingyue Wang
Processes (2023) Vol. 11, Iss. 2, pp. 496-496
Open Access | Times Cited: 29
Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16288-e16288
Open Access | Times Cited: 29
LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis
Bin Xi, Enming Li, Yewuhalashet Fissha, et al.
Mechanics of Advanced Materials and Structures (2023) Vol. 31, Iss. 23, pp. 5999-6014
Closed Access | Times Cited: 29
Prediction of Stress–Strain Curves for HFRP Composite Confined Brick Aggregate Concrete under Axial Load
Panumas Saingam, Ali Ejaz, Nazam Ali, et al.
Polymers (2023) Vol. 15, Iss. 4, pp. 844-844
Open Access | Times Cited: 27
Mechanical behavior of multiscale hybrid fiber reinforced recycled aggregate concrete subject to uniaxial compression
Kai Cui, Lihua Xu, Tao Tao, et al.
Journal of Building Engineering (2023) Vol. 71, pp. 106504-106504
Closed Access | Times Cited: 27
Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar
Muhammad Nasir Amin, Hassan Ali Alkadhim, Waqas Ahmad, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0280761-e0280761
Open Access | Times Cited: 26
A comprehensive GEP and MEP analysis of a cement-based concrete containing metakaolin
Muhammad Iftikhar Faraz, Siyab Ul Arifeen, Muhammad Nasir Amin, et al.
Structures (2023) Vol. 53, pp. 937-948
Closed Access | Times Cited: 23
Prediction of building energy performance using mathematical gene-expression programming for a selected region of dry-summer climate
Majed Alzara, Muhammad Faisal Rehman, Furqan Farooq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106958-106958
Closed Access | Times Cited: 23
Mix design optimization of waste-based aggregate concrete for natural resource utilization and global warming potential
Vahid Shobeiri, Bree Bennett, Tianyu Xie, et al.
Journal of Cleaner Production (2024) Vol. 449, pp. 141756-141756
Closed Access | Times Cited: 14
Prediction of properties of recycled aggregate concrete using machine learning models: A critical review
Zengfeng Zhao, Yajie Liu, Yanyun Lu, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109516-109516
Closed Access | Times Cited: 13
Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm
Mengtian Fan, Yue Li, Jiale Shen, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103631-103631
Closed Access | Times Cited: 12
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
Raman Kumar, Essam Althaqafi, S. Gopal Krishna Patro, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111956-111956
Closed Access | Times Cited: 11
Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods
Hassan Ali Alkadhim, Muhammad Nasir Amin, Waqas Ahmad, et al.
Materials (2022) Vol. 15, Iss. 20, pp. 7344-7344
Open Access | Times Cited: 35
Prediction of concrete porosity using machine learning
Chong Cao
Results in Engineering (2022) Vol. 17, pp. 100794-100794
Open Access | Times Cited: 35
Sustainable use of waste eggshells in cementitious materials: An experimental and modeling-based study
Fahad Alsharari, Kaffayatullah Khan, Muhammad Nasir Amin, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01620-e01620
Open Access | Times Cited: 33
Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns
Xingsi Xue, Celestine Makota, Osamah Ibrahim Khalaf, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 545-545
Open Access | Times Cited: 16
Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
M. Reshma Anjum, Kaffayatullah Khan, Waqas Ahmad, et al.
Polymers (2022) Vol. 14, Iss. 18, pp. 3906-3906
Open Access | Times Cited: 25
A Systematic Review of the Research Development on the Application of Machine Learning for Concrete
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Materials (2022) Vol. 15, Iss. 13, pp. 4512-4512
Open Access | Times Cited: 23
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