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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:

Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil
Husein Ali Zeini, Duaa Al-Jeznawi, Hamza Imran, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1408-1408
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil
Ismehen Taleb Bahmed, Jitendra Khatti, Kamaldeep Singh Grover
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 1
Closed Access | Times Cited: 30
Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
Gamil M. S. Abdullah, Mahmood Ahmad, Muhammad Babur, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Review of Recent Developments Regarding the Durability Performance of Eco-Friendly Geopolymer Concrete
Turki S. Alahmari, Tareg Abdalla Abdalla, Mohammed Ali M. Rihan
Buildings (2023) Vol. 13, Iss. 12, pp. 3033-3033
Open Access | Times Cited: 30
Advanced machine learning prediction of the unconfined compressive strength of geopolymer cement reconstituted granular sand for road and liner construction applications
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 1027-1041
Closed Access | Times Cited: 24
Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
Ishwor Thapa, Sufyan Ghani
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5079-5102
Closed Access | Times Cited: 10
Geotechnical and microstructural analysis of high-volume fly ash stabilized clayey soil and machine learning application
Mohammed Faisal Noaman, Moinul Haq, Mehboob Anwer Khan, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03628-e03628
Open Access | Times Cited: 10
A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils
Ammar Alnmr, Richard P. Ray, Mounzer Omran Alzawi
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1411-1411
Open Access | Times Cited: 9
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
Modeling Soil Behavior with Machine Learning: Static and Cyclic Properties of High Plasticity Clays Treated with Lime and Fly Ash
Gebrai̇l Bekdaş, Yaren Aydın, Si̇nan Melih Ni̇gdeli, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 288-288
Open Access | Times Cited: 1
Novel Insights in Soil Mechanics: Integrating Experimental Investigation with Machine Learning for Unconfined Compression Parameter Prediction of Expansive Soil
Ammar Alnmr, Haidar Hosamo, Chuangxin Lyu, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4819-4819
Open Access | Times Cited: 6
Exploring Sustainable Solutions for Soil Stabilization through Explainable Gaussian Process-assisted Multi-Objective Optimization
Gautam, Kritesh Kumar Gupta, Debjit Bhowmik
Materials Today Communications (2024) Vol. 40, pp. 110154-110154
Closed Access | Times Cited: 6
Prediction of the Unconfined Compressive Strength of Salinized Frozen Soil Based on Machine Learning
Huiwei Zhao, Bing Hui
Buildings (2024) Vol. 14, Iss. 3, pp. 641-641
Open Access | Times Cited: 4
Neural network coupled with nature-inspired optimization algorithms for prediction of microstructural and mechanical properties of nano-silica treated fine-grained soil
Ishwor Thapa, Sufyan Ghani, Panagiotis G. Asteris
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access
Machine learning in concrete construction: applications, challenges, and future aspects
Rashmi Verma, Bhawna Kaliraman, Sagar Paruthi
Elsevier eBooks (2025), pp. 577-593
Closed Access
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards
Ishwor Thapa, Sufyan Ghani, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Open Access
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
Fatigue Predictive Modeling of Composite Materials for Wind Turbine Blades Using Explainable Gradient Boosting Models
Yaren Aydın, Celal Çakıroğlu, Gebrai̇l Bekdaş, et al.
Coatings (2025) Vol. 15, Iss. 3, pp. 325-325
Open Access
Implementation of agro-industrial by-products in expansive soil amelioration: design of experiment approach
Imoh Christopher Attah
AI in Civil Engineering (2025) Vol. 4, Iss. 1
Open Access
Evaluating the compressive strength of industrial wastes-based geopolymer concrete with machine learning models
Néstor Ulloa, María León, Luis Felipe Silva Palmay, et al.
Construction and Building Materials (2025) Vol. 472, pp. 140891-140891
Closed Access
Machine Learning–Enabled Solar Photovoltaic Energy Forecasting for Modern‐Day Grid Integration
Subhajit Roy, Smriti Jaiswal, Manav Sanghi, et al.
(2025), pp. 243-277
Closed Access
A novel PHDVPSS method to stabilize dredged sediments and AI model to predict its unconfined compressive strength
Aamir Khan Mastoi, Faheem Ali Arisar, Nadeem ul karim Bhatti, et al.
Marine Georesources and Geotechnology (2025), pp. 1-13
Closed Access
Random forest, CART, and MLR-based predictive model for unconfined compressive strength of cement reinforced clayey soil: a comparative analysis
Anish Kumar, Sanjeev Sinha, Samir Saurav
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 2307-2323
Closed Access | Times Cited: 12
Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings
Ifeyinwa Ijeoma Obianyo, Jonathan Timothy Auta, David Sciacca, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
RAID: Robust and Interpretable Daily Peak Load Forecasting via Multiple Deep Neural Networks and Shapley Values
Joohyun Jang, Woonyoung Jeong, Sang Min Kim, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6951-6951
Open Access | Times Cited: 9
Prediction of Briquette Deformation Energy via Ensemble Learning Algorithms Using Physico-Mechanical Parameters
Önder Kabaş, Uğur Ercan, M. Dincă
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 652-652
Open Access | Times Cited: 3
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