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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:

A machine learning-based genetic programming approach for the sustainable production of plastic sand paver blocks
Bawar Iftikhar, Sophia C. Alih, Mohammadreza Vafaei, et al.
Journal of Materials Research and Technology (2023) Vol. 25, pp. 5705-5719
Open Access | Times Cited: 23

Showing 23 citing articles:

Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete
Suraj Kumar Parhi, Soumyaranjan Panda, Saswat Dwibedy, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2901-2928
Closed Access | Times Cited: 16
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
Thermal and acoustic performance in textile fibre-reinforced concrete: An analytical review
K.A.P. Wijesinghe, Chamila Gunasekara, David W. Law, et al.
Construction and Building Materials (2024) Vol. 412, pp. 134879-134879
Open Access | Times Cited: 8
A comparative study of prediction models for alkali-activated materials to promote quick and economical adaptability in the building sector
Siyab Ul Arifeen, Muhammad Nasir Amin, Waqas Ahmad, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133485-133485
Closed Access | Times Cited: 17
Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete
Baoping Zou, Yanbing Wang, Muhammad Nasir Amin, et al.
Construction and Building Materials (2023) Vol. 409, pp. 134092-134092
Closed Access | Times Cited: 15
Exploring the influence of waste glass granular replacement on compressive strength in concrete mixtures: a normalization and modeling study
Soran Abdrahman Ahmad, Hemn Unis Ahmed, Serwan Rafiq, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 5
Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology
G. Uday Kiran, G. Nakkeeran, Dipankar Roy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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
Optimized decision tree algorithms to estimate ultimate strain of concrete wrapped by aramid fiber-reinforced polymer
Yangyang Guo
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 4
Closed Access
Thermal and acoustic performance of solid waste incorporated cement based composites: an analytical review
K.A.P. Wijesinghe, Gamini Lanarolle, Chamila Gunasekara, et al.
Archives of Civil and Mechanical Engineering (2025) Vol. 25, Iss. 2
Open Access
Toward sustainability: Integrating experimental study and data-driven modeling for eco-friendly paver blocks containing plastic waste
Usama Asif, Muhammad Faisal Javed, Deema Mohammed Alsekait, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 4
Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model
Pravin R. Kshirsagar, Kamal Upreti, Virendra Singh Kushwah, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 183-197
Closed Access | Times Cited: 3
Digitalization of Analysis of a Concrete Block Layer Using Machine Learning as a Sustainable Approach
Parviz Narimani, Mohsen Dehghanpour Abyaneh, Marzieh Golabchi, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7591-7591
Open Access | Times Cited: 3
Promoting the suitability of rice husk ash concrete in the building sector via contemporary machine intelligence techniques
Muhammad Nasir Amin, Suleman Ayub Khan, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02357-e02357
Open Access | Times Cited: 9
Data-driven strategy for evaluating the response of eco-friendly concrete at elevated temperatures for fire resistance construction
Fahad Alsharari, Bawar Iftikhar, Md. Alhaz Uddin, et al.
Results in Engineering (2023) Vol. 20, pp. 101595-101595
Open Access | Times Cited: 7
Fresh state and strength performance evaluation of slag-based alkali-activated concrete using soft-computing methods
Yingjie Li, Genhui Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2023) Vol. 38, pp. 107822-107822
Closed Access | Times Cited: 5
Impact of fly ash and banana fiber on mechanical performance of paver block concrete
Ananthakumar Ayyadurai, Saravanan Muthuchamy Maruthai, D Muthu
Journal of the Croatian Association of Civil Engineers (2024) Vol. 76, Iss. 03, pp. 211-222
Open Access | Times Cited: 1
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
Discovery of novel materials through machine learning
Akinwumi Akinpelu, Mangladeep Bhullar, Yansun Yao
Journal of Physics Condensed Matter (2024) Vol. 36, Iss. 45, pp. 453001-453001
Open Access | Times Cited: 1
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
Exploring the resilience of supplementary cementitious materials-based concrete to elevated temperatures via modern computing techniques
Ji Zhou, Qiong Tian, Ayaz Ahmad, et al.
Materials Today Communications (2023) Vol. 38, pp. 107894-107894
Closed Access | Times Cited: 2
An optimized deep network-based intermediate code generation for the mathematical expression
H. N. Sharada, Basavaraj S. Anami, Shridhar Allagi
Multimedia Tools and Applications (2024)
Closed Access
Studying the possibility of structural performance improvement of RC beams made of lightweight Ponza aggregate with the addition of PWFs
Mohammed Raji Mohammed Al-Alusi, Omer Khalid Fayadh, Abdulkader Ismail Al‐Hadithi
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 10
Closed Access
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