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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:

Artificial intelligence-based prediction of strengths of slag-ash-based geopolymer concrete using deep neural networks
Solomon Oyebisi, Thamer Alomayri
Construction and Building Materials (2023) Vol. 400, pp. 132606-132606
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning
Emadaldin Mohammadi Golafshani, Nima Khodadadi, Tuan Ngo, et al.
Advances in Engineering Software (2024) Vol. 191, pp. 103611-103611
Open Access | Times Cited: 16
Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning
R.S.S. Ranasinghe, W.K.V.J.B. Kulasooriya, Udara Sachinthana Perera, et al.
Results in Engineering (2024) Vol. 23, pp. 102503-102503
Open Access | Times Cited: 15
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: 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: 9
Deep neural network modeling of river discharge in a tropical humid watershed
Benjamin Nnamdi Ekwueme
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1161-1177
Closed Access | Times Cited: 8
Influence of treated recycled concrete aggregate and modified mixing approach on the mechanical properties of ternary blend geopolymer concrete: Experiments and machine learning algorithms
Paritosh Kumar Singh, Puja Rajhans
Journal of Cleaner Production (2024) Vol. 443, pp. 141007-141007
Closed Access | Times Cited: 7
Monitoring Water Quality Indicators over Matagorda Bay, Texas, Using Landsat-8
Meghan Bygate, Mohamed Ahmed
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1120-1120
Open Access | Times Cited: 6
Utilizing Construction and Demolition Waste in Concrete as a Sustainable Cement Substitute: A Comprehensive Study on Behavior Under Short-term Dynamic and Static Loads via Laboratory and Numerical Analysis
Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, et al.
Journal of Building Engineering (2024), pp. 110778-110778
Closed Access | Times Cited: 5
Multi-Objective Optimization of Blended Cement Mortars from Copper Slags
Debadri Som, Tobias Hertel, Glenn Beersaerts, et al.
(2025)
Closed Access
Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods
S. Sathvik, Solomon Oyebisi, Rakesh Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Intelligent Prediction of Compressive Strength of Concrete Based on CNN-BiLSTM-MA
Yuqiao Liu, Hongling Yu, Tao Guan, et al.
Case Studies in Construction Materials (2025), pp. e04486-e04486
Open Access
Valorizing waste materials as biomass fillers in the production of asphalt mixtures
M. T. Akinleye, Khalid Al Kaaf, Solomon Oyebisi, et al.
World Journal of Engineering (2025)
Closed Access
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Tariq Ali, Mohamed Hechmi El Ouni, Muhammad Zeeshan Qureshi, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137370-137370
Closed Access | Times Cited: 4
Hyper-tuning gene expression programming to develop interpretable prediction models for the strength of corncob ash-modified geopolymer concrete
Ji Zhou, Qiong Tian, Sohaib Nazar, et al.
Materials Today Communications (2023) Vol. 38, pp. 107885-107885
Closed Access | Times Cited: 11
Compressive and tensile strength estimation of sustainable geopolymer concrete using contemporary boosting ensemble techniques
Ji Zhou, Qiong Tian, Ayaz Ahmad, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Modeling the strength parameters of agro waste-derived geopolymer concrete using advanced machine intelligence techniques
Ahmed A. Alawi Al-Naghi, Muhammad Nasir Amin, Suleman Ayub Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2
Experimenting the influence of corncob ash on the mechanical strength of slag-based geopolymer concrete
Jing Wang, Qian Qu, Suleman Ayub Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2
GGBFS and Red-Mud based Alkali-Activated Concrete Beams: Flexural, Shear and Pull-Out Test Behavior
Hebah Mohammad Al-Jabali, Ahmed A. El-Latief, Mohamed Salah Ezz, et al.
Civil Engineering Journal (2024) Vol. 10, Iss. 5, pp. 1494-1512
Open Access | Times Cited: 2
Temperature-Dependent Compressive Strength Modeling of Geopolymer Blocks Utilizing Glass Powder and Steel Slag
Supriya Janga, Ashwin Raut, Alireza Bahrami, et al.
Results in Materials (2024) Vol. 24, pp. 100636-100636
Open Access | Times Cited: 2
Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based Geopolymer Concrete Composites
Shimol Philip, M. Nidhi
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 1
Performance evaluation of controlled low-strength blended cement concrete modified with recycled waste materials
M. Karthik, Solomon Oyebisi, Pshtiwan Shakor, et al.
World Journal of Engineering (2024)
Closed Access | Times Cited: 1
Experimental and deep neural network approaches on strength evaluation of ternary blended concrete
Solomon Oyebisi, Thamer Alomayri
Construction and Building Materials (2024) Vol. 439, pp. 137276-137276
Closed Access
Modelling mechanical strengths of blended cement concrete incorporating corncob ash and calcite powder: experimental and machine learning approaches
Solomon Oyebisi, Mahaad Issa Shammas, Samuel Olawale Oladeji, et al.
Asian Journal of Civil Engineering (2024)
Closed Access
Artificial Intelligence in Materials Science and Modern Concrete Technologies: Analysis of Possibilities and Prospects
V. А. Poluektova, Michael Poluektov
Inorganic Materials Applied Research (2024) Vol. 15, Iss. 5, pp. 1187-1198
Closed Access
Artificial intelligence-based modeling of compressive strength of slurry infiltrated fiber concrete
Solomon Oyebisi, Mahaad Issa Shammas, R O Sani, et al.
World Journal of Engineering (2024)
Closed Access
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