Open Access Helper

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:

Modeling green recycled aggregate concrete using machine learning and variance-based sensitivity analysis
Mahmoud Owais, Lamiaa K. Idriss
Construction and Building Materials (2024) Vol. 440, pp. 137393-137393
Closed Access | Times Cited: 10

Showing 10 citing articles:

INN-ASDNet: Embracing Involutional Neural Networks and Random Forest for Prediction of Autism Spectrum Disorder
Bhagya Lakshmi Polavarapu, Mahesh Kumar Morampudi, T N Tarun, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction
Qiuying Chang, Chuanhai Zhao, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2025), pp. e04405-e04405
Open Access
The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1192-1192
Open Access
Machine learning applications in designing cementitious materials
Shichen Dang, Hu Fang, Yao Yao
Automation in Construction (2025) Vol. 174, pp. 106125-106125
Closed Access
Preprocessing and postprocessing analysis for hot-mix asphalt dynamic modulus experimental data
Mahmoud Owais
Construction and Building Materials (2024) Vol. 450, pp. 138693-138693
Closed Access | Times Cited: 3
Red light crossing violations modelling using deep learning and variance-based sensitivity analysis
Mahmoud Owais, Mohamed Sayed
Expert Systems with Applications (2024), pp. 126258-126258
Closed Access | Times Cited: 3
How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks
Mahmoud Owais
Expert Systems with Applications (2024), pp. 125563-125563
Closed Access | Times Cited: 2
Machine learning models for predicting the compressive strengths of ordinary Portland cement concrete and alkali-activated materials
Yuki Seki, Atsushi Shibayama, Minehiro Nishiyama, et al.
Sustainable materials and technologies (2024), pp. e01191-e01191
Closed Access | Times Cited: 1
Active Traffic Sensor Location Problem for the Uniqueness of Path Flow Identification in Large-Scale Networks
Ahmed Almutairi, Mahmoud Owais
IEEE Access (2024) Vol. 12, pp. 180385-180403
Open Access
Enhancing Concrete with Ultrafine Fly Ash: Mechanical Strength and Frost Resistance
Yuqi Zhang
Journal of Engineering Research and Reports (2024) Vol. 26, Iss. 8, pp. 269-277
Open Access
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