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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:

Development of compressive strength prediction platform for concrete materials based on machine learning techniques
Kexin Liu, Lingyan Zhang, Weiguang Wang, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 107977-107977
Closed Access | Times Cited: 22

Showing 22 citing articles:

Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume
Shashikant Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109844-109844
Closed Access | Times Cited: 17
Exploring LightGBM-SHAP: Interpretable predictive modeling for concrete strength under high temperature conditions
Shaoqiang Meng, Zhenming Shi, Chengzhi Xia, et al.
Structures (2025) Vol. 71, pp. 108134-108134
Closed Access | Times Cited: 1
Prediction of maximum dynamic shear modulus of undisturbed marine soils in the eastern coast of China based on machine learning methods
Yiliang Tu, Qianglong Yao, Ying Zhou, et al.
Ocean Engineering (2025) Vol. 321, pp. 120382-120382
Closed Access | Times Cited: 1
Prediction of non-uniform shrinkage of steel-concrete composite slabs based on explainable ensemble machine learning model
Shiqi Wang, Jinlong Liu, Qinghe Wang, et al.
Journal of Building Engineering (2024) Vol. 88, pp. 109002-109002
Closed Access | Times Cited: 11
Compressive strength and sensitivity analysis of fly ash composite foam concrete: Efficient machine learning approach
Chen Zhang, Zhiduo Zhu, Liang Shi, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103634-103634
Closed Access | Times Cited: 10
A novel compressive strength estimation approach for 3D printed fiber-reinforced concrete: integrating machine learning and gene expression programming
Md Nasir Uddin, Junhong Ye, M. Aminul Haque, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 5, pp. 4889-4910
Closed Access | Times Cited: 5
Optimizing the utilization of Metakaolin in pre-cured geopolymer concrete using ensemble and symbolic regressions
Kennedy C. Onyelowe, Viroon Kamchoom‬, Ahmed M. Ebid, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-Objective Optimization Design of Cement-Based Materials for Low-Carbon Goals
Maofeng Jing, Haonan Jia, Quansheng Liu, et al.
Materials Today Communications (2025), pp. 112135-112135
Closed Access
Optimizing compressive strength prediction of sustainable concrete using ternary‐blended agro‐waste ash, sugarcane bagasse ash, and rice husk ash with soft computing techniques
Pavan A. Nadgouda, Divesh Ranjan Kumar, Anil Kumar Sharma, et al.
Structural Concrete (2025)
Closed Access
Investigating on thermal insulation in concrete partition wall with insulation-material-infilled Voronoi sections: Feature impact analysis and efficient assessment approach
Hanmo Wang, Shawn Owyong, Anqi Shi, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110437-110437
Closed Access | Times Cited: 4
Optimization and prediction of office building shading devices for energy, daylight, and view consideration using genetic and BO-LGBM algorithms
Hangyue Zhang, Yanqiu Cui, Hongbin Cai, et al.
Energy and Buildings (2024) Vol. 324, pp. 114939-114939
Closed Access | Times Cited: 2
Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete
Xuyong Chen, Xuan Liu, Shukai Cheng, et al.
Case Studies in Construction Materials (2024), pp. e04162-e04162
Open Access | Times Cited: 1
Exploring Economic and Environmental Impacts of Recycled Aggregate Concrete Using Particle Swarm Optimization Algorithm
Qinghe Wang, Yayun Zhao, Liye Sun, et al.
Journal of Cleaner Production (2024), pp. 143713-143713
Closed Access | Times Cited: 1
Split tensile strength of fiber-reinforced coral aggregate concrete: Deep learning model and experimental validation
Lingming Yang, Zhilin Long, Tao Long, et al.
Construction and Building Materials (2024) Vol. 450, pp. 138679-138679
Closed Access | Times Cited: 1
Interpretable machine‐learning models for predicting creep recovery of concrete
Shengqi Mei, Xiaodong Liu, Xingju Wang, et al.
Structural Concrete (2024)
Closed Access
Exploring the compositional effect of eco-friendly ultra-high performance concrete on dynamic strength based on stacking algorithm and explainable artificial intelligence
L. L. Wu, D.L. Zou, Yifei Hao
Developments in the Built Environment (2024), pp. 100574-100574
Open Access
Optimization and Prediction of Office Building Shading Devices for Energy, Daylight, and View Consideration Using Genetic and Bo-Lgbm Algorithms
Hangyue Zhang, Yanqiu Cui, Hongbin Cai, et al.
(2024)
Closed Access
Prediction and optimization framework of shear strength of reinforced concrete flanged shear wall based on machine learning and non-dominated sorting genetic algorithm-II
Hanwen Zhang, Jinlong Liu, Shiqi Wang, et al.
Advances in Structural Engineering (2024)
Closed Access
Predicting tensile strength of steel fiber-reinforced concrete based on a novel differential evolution-optimized extreme gradient boosting machine
Nhat‐Duc Hoang
Neural Computing and Applications (2024)
Closed Access
A machine learning model for predicting the mechanical strength of cement-based materials filled with waste rubber modified by PVA
Zhengfeng He, Zhuofan Wu, Wen‐Jun Niu, et al.
Frontiers in Materials (2024) Vol. 11
Open Access
Predicting the compressive strength of high-performance concrete via the DR-CatBoost model
Yushuai Zhang, Wangjun Ren, Jiyong Lei, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03990-e03990
Open Access
Effects of Waste Glass Bottle Nanoparticles and High Volume of Waste Ceramic Tiles on Concrete Performance When Exposed to Elevated Temperatures: Experimental and Theoretical Evaluations
Zahraa Hussein Joudah, Nur Hafizah A. Khalid, Hassan Amer Algaifi, et al.
Fire (2024) Vol. 7, Iss. 12, pp. 426-426
Open Access
Machine learning-based models to predict waste-driven concrete’s compressive strength
Amit Kumar Mandal, Sarvesh P. S. Rajput
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
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