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 concrete properties using machine learning algorithm
Rupesh Kumar Tipu, V. R. Panchal, Kartik S. Pandya
Journal of Physics Conference Series (2022) Vol. 2273, Iss. 1, pp. 012016-012016
Open Access | Times Cited: 12

Showing 12 citing articles:

Efficient compressive strength prediction of concrete incorporating recycled coarse aggregate using Newton’s boosted backpropagation neural network (NB-BPNN)
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Structures (2023) Vol. 58, pp. 105559-105559
Closed Access | Times Cited: 25

Mechanical properties prediction of sandstone concrete with varying compaction levels and silica fume ratios using machine-learning approaches
Amr Ghoniem, Louay A. Aboul-Nour
Construction and Building Materials (2025) Vol. 460, pp. 139817-139817
Closed Access | Times Cited: 1

Development of a hybrid stacked machine learning model for predicting compressive strength of high-performance concrete
Rupesh Kumar Tipu, Suman Suman, Vandna Batra
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 2985-3000
Closed Access | Times Cited: 22

Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network
Rupesh Kumar Tipu, V. R. Panchal, Kartik S. Pandya
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 637-656
Closed Access | Times Cited: 14

Exploring the role of surface and porosity in CO2 capture by CaO-based adsorbents through response surface methodology (RSM) and artificial neural networks (ANN)
Enrique Martínez de Salazar Martínez, María Alexandre-Franco, Alberto J. Nieto-Sánchez, et al.
Journal of CO2 Utilization (2024) Vol. 83, pp. 102773-102773
Open Access | Times Cited: 6

Predictive modelling of surface chloride concentration in marine concrete structures: a comparative analysis of machine learning approaches
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1443-1465
Closed Access | Times Cited: 13

Machine learning meta-models for fast parameter identification of the lattice discrete particle model
Yuhui Lyu, Madura Pathirage, Elham Ramyar, et al.
Computational Mechanics (2023) Vol. 72, Iss. 3, pp. 593-612
Closed Access | Times Cited: 12

Multi-objective optimized high-strength concrete mix design using a hybrid machine learning and metaheuristic algorithm
Rupesh Kumar Tipu, V. R. Panchal, Kartik S. Pandya
Asian Journal of Civil Engineering (2022) Vol. 24, Iss. 3, pp. 849-867
Closed Access | Times Cited: 15

Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study
Rupesh Kumar Tipu, V. R. Panchal, Kartik S. Pandya
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3183-3200
Closed Access | Times Cited: 2

Augmented Data-Driven Approach towards 3D Printed Concrete Mix Prediction
Saif Rehman, Raja Dilawar Riaz, Muhammad Usman, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7231-7231
Open Access | Times Cited: 2

Prediction of strength properties of concrete under the influence of recycled aggregate using machine learning models
R. Ashwathi, R. S. Soundariya, R. M. Tharsanee, et al.
Deleted Journal (2024) Vol. 245, Iss. 1
Closed Access | Times Cited: 1

Comparative strength estimation model of recycled aggregate concrete modified with GGBS, Metakaolin, and fly ash
Lina Zhang, Yuqing Tian, Shan Deng
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5461-5479
Closed Access

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