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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:

Prediction of compressive strength of high-volume fly ash self-compacting concrete with silica fume using machine learning techniques
Shashikant Kumar, Rakesh Kumar, Baboo Rai, et al.
Construction and Building Materials (2024) Vol. 438, pp. 136933-136933
Closed Access | Times Cited: 17

Showing 17 citing articles:

Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume
Rakesh Kumar, Shashikant Kumar, Baboo Rai, et al.
Structures (2024) Vol. 66, pp. 106850-106850
Closed Access | Times Cited: 14
Experimental Study of Carbonation and Chloride Resistance of Self-Compacting Concretes with a High Content of Fly Ash and Metakaolin, with and Without Hydrated Lime
Marcos Alyssandro Soares dos Anjos, Aires Camões, Raphaele Malheiro, et al.
Materials (2025) Vol. 18, Iss. 2, pp. 422-422
Open Access | Times Cited: 1
Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 10
Assessing the seismic sensitivity of bridge structures by developing fragility curves with ANN and LSTM integration
Ashwini Satyanarayana, V. Babu R. Dushyanth, Khaja Asim Riyan, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 8, pp. 5865-5888
Closed Access | Times Cited: 5
Comparison of experimental and analytical studies in light gauge steel sections on CFST using SFRC in beams subjected to high temperatures
Christo George, Rakesh Kumar, H. K. Ramaraju
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 5
Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning
Xiao Luo, Yue Li, Yunze Liu, et al.
Construction and Building Materials (2025) Vol. 463, pp. 140062-140062
Closed Access
Quantitative description of chloride ingress in concrete using machine learning algorithms
Mojtaba Aliasghar-Mamaghani, Ioannis Koutromanos, Matthew H. Hebdon, et al.
Construction and Building Materials (2025) Vol. 467, pp. 140209-140209
Closed Access
Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
Rakesh Kumar, Shishir Karthik, Abhishek Kumar, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access
Optimized machine learning models for predicting the tensile strength of high-performance concrete
Divesh Ranjan Kumar, Pramod Kumar, Pradeep Thangavel, et al.
Journal of Structural Integrity and Maintenance (2025) Vol. 10, Iss. 1
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
Machine learning based prediction models for the compressive strength of high-volume fly ash concrete reinforced with silica fume
Anish Kumar, Sujit Sen, Sanjeev Sinha
Asian Journal of Civil Engineering (2025)
Closed Access
Physicochemical properties of silica fume and fly ash from Tau-Ken Temir LLP and Pavlodar CHP for potential use in self-compacting concrete
Erzhan Kuldeyev, Zhanar O. Zhumadilova, Adlet M. Zhagifarov, et al.
Technobius (2025) Vol. 5, Iss. 1, pp. 0076-0076
Closed Access
Enhancing urban sustainability: a study on lightweight and pervious concrete incorporating recycled plastic
S. Sathvik, Pathapati Rohithkumar, Pshtiwan Shakor, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Optimizing beam performance: ANSYS simulation and ANN-based analysis of CFRP strengthening with various opening shapes
Tahera, Kshitij S. Patil, Neethu Urs
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 1
Predictive modeling of compressive strength in silica fume‐modified self‐compacted concrete: A soft computing approach
Payam Ismael Abdulrahman, Dilshad Kakasor Ismael Jaf, Sirwan Khuthur Malla, et al.
Structural Concrete (2024)
Open Access | Times Cited: 1
Compressive strength of bentonite concrete using state-of-the-art optimised XGBoost models
Prince Kumar, Shivani Kamal, Abhishek Kumar, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-24
Closed Access | Times Cited: 1
Multiscale modeling for accurate forecasting of concrete wear depth: a comprehensive study on mixture proportions and environmental factors
Wael Mahmood, Payam Ismael Abdulrahman, Dilshad Kakasor, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5971-5989
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
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