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:

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: 14

Showing 14 citing articles:

Development and optimization of geopolymer concrete with compressive strength prediction using particle swarm-optimized extreme gradient boosting
Shimol Philip, Nidhi Marakkath
Applied Soft Computing (2025), pp. 113149-113149
Closed Access | Times Cited: 1

Research on 3D Printing Concrete Mechanical Properties Prediction Model Based on Machine Learning
Yonghong Zhang, Suping Cui, Bohao Yang, et al.
Case Studies in Construction Materials (2025), pp. e04254-e04254
Open Access

Deep learning enhanced framework for multi-objective optimization of cement-slag concrete for the balancing performance, economics, and sustainability
Amol Shivaji Mali, Atul Kolhe, Pravin Gorde, et al.
Asian Journal of Civil Engineering (2025)
Closed Access

Machine learning-based techniques for marine structures: A state-of-the-art review
Xiaoguang Zhou, Chao Hou, Yantao Yu, et al.
(2025)
Closed Access

Predictive Modelling of Mechanical Properties of Concrete Using Machine Learning with Secondary Treated Waste Water and Fly Ash
Kumar Rajiv, Y Ramalinga Reddy, G Shiva Kumar, et al.
Cleaner Waste Systems (2025), pp. 100296-100296
Open Access

An intelligent approach for predicting strength of roadbed foam lightweight concrete based on optimized XGBoost model
Wanmao Zhang, Dunwen Liu, Yu Tang, et al.
Case Studies in Construction Materials (2025), pp. e04702-e04702
Open Access

Experimental study on the static properties of bamboo fiber reinforced ultra-high performance concrete (UHPC)
Hua Zhao, Jie Tang, Ziwei Li, et al.
Construction and Building Materials (2024) Vol. 453, pp. 138974-138974
Closed Access | Times Cited: 3

Reducing Energy Demand in Concrete Pavements by the Use of Blended Cements
Réka Szpotowicz, Csaba Tóth
Acta Technica Jaurinensis (2024) Vol. 17, Iss. 3, pp. 118-129
Open Access

IPFOA-MKSVM and BA-MLP Models for Predicting Closed Busbar Temperatures in High Voltage Nuclear Power Plants in Different Vacuum Environments
Zuoxun Wang, Guojian Zhao, Jinxue Sui, et al.
Vacuum (2024) Vol. 232, pp. 113825-113825
Closed Access

Predicción Temprana del Dengue mediante Inteligencia Artificial: Un Enfoque basado en Análisis de Química Sanguínea Histórica
Baldomero Javier Reyes Méndez, Wilson Chango
Estudios y Perspectivas Revista Científica y Académica (2024) Vol. 4, Iss. 3, pp. 2923-2936
Open Access

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