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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:

Assessing the compressive and splitting tensile strength of self-compacting recycled coarse aggregate concrete using machine learning and statistical techniques
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Materials Today Communications (2023) Vol. 38, pp. 107970-107970
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis
Fadi Almohammed, Mohindra Singh Thakur, Daeho Lee, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134936-134936
Closed Access | Times Cited: 18
Performance evaluation of concrete made with plastic waste using multi-expression programming
Usama Asif, Muhammad Faisal Javed, Mana Alyami, et al.
Materials Today Communications (2024) Vol. 39, pp. 108789-108789
Closed Access | Times Cited: 16
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: 16
Predictive models in machine learning for strength and life cycle assessment of concrete structures
A. Dinesh, B. Rahul Prasad
Automation in Construction (2024) Vol. 162, pp. 105412-105412
Closed Access | Times Cited: 12
Supervised and unsupervised machine learning techniques for predicting mechanical properties of coconut fiber reinforced concrete
Veena Kashyap, Ahmad Alyaseen, Arunava Poddar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 5, pp. 3879-3899
Closed Access | Times Cited: 10
Polypropylene waste plastic fiber morphology as an influencing factor on the performance and durability of concrete: Experimental investigation, soft-computing modeling, and economic analysis
Razan Alzein, M. Vinod Kumar, Ashwin Raut, et al.
Construction and Building Materials (2024) Vol. 438, pp. 137244-137244
Closed Access | Times Cited: 10
Incorporation of reduced graphene oxide in waste-based concrete including lead smelter slag and recycled coarse aggregate
Mohammad Valizadeh Kiamahalleh, Aliakbar Gholampour, Youhong Tang, et al.
Journal of Building Engineering (2024) Vol. 88, pp. 109221-109221
Open Access | Times Cited: 9
The Mechanical Properties and Microstructure of Tailing Recycled Aggregate Concrete
Fan Xu, Zhijun Li, Tao Li, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1058-1058
Open Access | Times Cited: 7
The bonding performance of desert sand self-compacting concrete overlay on normal strength concrete substrate: Macro, micro, and ultrasonic testing
Weibing Cai, Haifeng Liu, Wenjing Xu, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109502-109502
Closed Access | Times Cited: 6
Interpretable machine learning models for predicting the bond strength between UHPC and normal-strength concrete
Kaihua Liu, Tingrui Wu, Zhuorong Shi, et al.
Materials Today Communications (2024) Vol. 40, pp. 110006-110006
Closed Access | Times Cited: 6
Prediction of Compressive Strength of Fly Ash-Recycled Mortar Based on Grey Wolf Optimizer–Backpropagation Neural Network
Shao Jing-jing, Lin-Bin Li, Guang-Ji Yin, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 139-139
Open Access
Prediction of shear strength in Al-LCS explosive clads through recurrent neural network
K. Kumararaja, Bir Bahadur Sherpa, S. Saravanan
Welding International (2025), pp. 1-8
Closed Access
Optimizing high-strength concrete compressive strength with explainable machine learning
Sanjog Chhetri Sapkota, Christina Panagiotakopoulou, Dipak Dahal, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Open Access
Mean Limiting Pressure Factors Determination in Contiguous Pile Walls using RAFELA and Nonlinear Regression Models in Spatially Random Soil
Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, et al.
Results in Engineering (2025), pp. 104436-104436
Open Access
A Systematic Review on Formwork Pressure Exerted by Self-Compacting Concrete: Parameters, Prediction Models, and Advances in Monitoring Technologies
D. Annlin Jebitha, Ramesh Kannan, S. Karthiyaini
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning
Kennedy C. Onyelowe, Viroon Kamchoom‬, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete
P. Jagadesh, Afzal Husain Khan, B. Shanmuga Priya, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303101-e0303101
Open Access | Times Cited: 4
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Tariq Ali, Mohamed Hechmi El Ouni, Muhammad Zeeshan Qureshi, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137370-137370
Closed Access | Times Cited: 4
Neural network - Game theory coupled approach for predicting flexural performance of fibre-reinforced concrete
Rubén-Daniel López-Carreño, Tai Ikumi, Albert de la Fuente, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108909-108909
Closed Access | Times Cited: 3
From waste to sustainable production: Experimental design and optimization of sustainable concrete using response surface methodology and life cycle assessment
Muhammed Ulucan
Sustainable Chemistry and Pharmacy (2024) Vol. 42, pp. 101770-101770
Closed Access | Times Cited: 3
Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4343-4359
Closed Access | Times Cited: 2
Comparative analysis of conventional and ensemble machine learning models for predicting split tensile strength in thermal stressed SCM-blended lightweight concrete
Saad Shamim Ansari, A. Azeem, Mohammad Asad, et al.
Materials Today Proceedings (2024)
Closed Access | Times Cited: 2
Incorporating Crumb Rubber in Slag-Based Geopolymer: Experimental Work and Predictive Modelling
Ashwin Raut, Ahmad Alyaseen, Afzal Husain Khan, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03893-e03893
Open Access | Times Cited: 2
Big Data Processing and Analysis Platform Based on Deep Neural Network Model
Sheng Huang
Systems and Soft Computing (2024) Vol. 6, pp. 200107-200107
Open Access | Times Cited: 1
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