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:
Splitting tensile strength prediction of Metakaolin concrete using machine learning techniques
Qiang Li, Guoqi Ren, Haoran Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Qiang Li, Guoqi Ren, Haoran Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Showing 11 citing articles:
Soft computing models for prediction of bentonite plastic concrete strength
Waleed Bin Inqiad, Muhammad Faisal Javed, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Waleed Bin Inqiad, Muhammad Faisal Javed, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Predicting Resilient Modulus of Fine‐Grained Soils Using Support Vector Machine‐RBF and Random Forest
Yonas Tilahun, Qinghua Xiao, Argaw Asha Ashango, et al.
Advances in Materials Science and Engineering (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 2
Yonas Tilahun, Qinghua Xiao, Argaw Asha Ashango, et al.
Advances in Materials Science and Engineering (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 2
Explainable hybridized ensemble machine learning for the prognosis of the compressive strength of recycled plastic-based sustainable concrete with experimental validation
Sanjog Chhetri Sapkota, Ajay Yadav, Ajaya Khatri, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 6073-6096
Closed Access | Times Cited: 7
Sanjog Chhetri Sapkota, Ajay Yadav, Ajaya Khatri, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 6073-6096
Closed Access | Times Cited: 7
A hybrid artificial intelligence approach for modeling the carbonation depth of sustainable concrete containing fly ash
Ramin Kazemi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Ramin Kazemi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A reliable approach for classifying metakaolin content of high-Performance concrete via machine learning algorithm
Chao Zhang, Xiaoyong Zhao, Jian Chen, et al.
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Chao Zhang, Xiaoyong Zhao, Jian Chen, et al.
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Optimization and Prediction of Colored Pervious Concrete Properties: Enhancing Performance through Augmented Grey Wolf Optimizer and Artificial Neural Networks
Ahmet Tugrul Koc, Sadık Alper Yıldızel
Materials Today Communications (2025), pp. 112069-112069
Closed Access
Ahmet Tugrul Koc, Sadık Alper Yıldızel
Materials Today Communications (2025), pp. 112069-112069
Closed Access
PREDICTION OF THE COMPRESSIVE AND TENSILE STRENGTH OF HIGH-PERFORMANCE CONCRETE BASED ON A HYBRID MODEL OF MULTILAYER PERCEPTRON (MLP) AND LIGHTGBM
S. J. Zhao
Ceramics - Silikaty (2025)
Open Access
S. J. Zhao
Ceramics - Silikaty (2025)
Open Access
An intelligent device for concrete initial setting time prediction using kernel-based extreme learning machine
Chuang Liu, Yao Du, Zhen Liu, et al.
Journal of Building Engineering (2025), pp. 112959-112959
Closed Access
Chuang Liu, Yao Du, Zhen Liu, et al.
Journal of Building Engineering (2025), pp. 112959-112959
Closed Access
Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4343-4359
Closed Access | Times Cited: 3
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4343-4359
Closed Access | Times Cited: 3
Artificial intelligence in the design, optimization, and performance prediction of concrete materials: a comprehensive review
Dayou Luo, Kejin Wang, Dongming Wang, et al.
npj Materials Sustainability (2025) Vol. 3, Iss. 1
Open Access
Dayou Luo, Kejin Wang, Dongming Wang, et al.
npj Materials Sustainability (2025) Vol. 3, Iss. 1
Open Access
Evaluation of Predictive Models for Mechanical Properties of Earth-Based Composites for Sustainable Building Applications
Ifeyinwa Ijeoma Obianyo, Azikiwe Peter Onwualu, Assia Aboubakar Mahamat
Studies in systems, decision and control (2024), pp. 179-190
Closed Access | Times Cited: 1
Ifeyinwa Ijeoma Obianyo, Azikiwe Peter Onwualu, Assia Aboubakar Mahamat
Studies in systems, decision and control (2024), pp. 179-190
Closed Access | Times Cited: 1
Interpretable machine‐learning models for predicting creep recovery of concrete
Shengqi Mei, Xiaodong Liu, Xingju Wang, et al.
Structural Concrete (2024)
Closed Access
Shengqi Mei, Xiaodong Liu, Xingju Wang, et al.
Structural Concrete (2024)
Closed Access
