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 learning unveils the complex nonlinearity of concrete materials’ uniaxial compressive strength
Siddhi Pandey, Satish Paudel, Kabin Devkota, et al.
International Journal of Construction Management (2024), pp. 1-15
Closed Access | Times Cited: 7
Siddhi Pandey, Satish Paudel, Kabin Devkota, et al.
International Journal of Construction Management (2024), pp. 1-15
Closed Access | Times Cited: 7
Showing 7 citing articles:
Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
Ishwor Thapa, Sufyan Ghani
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5079-5102
Closed Access | Times Cited: 10
Ishwor Thapa, Sufyan Ghani
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5079-5102
Closed Access | Times Cited: 10
Computational approach towards shear strength prediction of squat RC walls implementing ensemble and hybrid SVR paradigms
Mudassir Iqbal, Babatunde Abiodun Salami, Mohsin Ali Khan, et al.
Materials Today Communications (2024) Vol. 40, pp. 109921-109921
Closed Access | Times Cited: 5
Mudassir Iqbal, Babatunde Abiodun Salami, Mohsin Ali Khan, et al.
Materials Today Communications (2024) Vol. 40, pp. 109921-109921
Closed Access | Times Cited: 5
Compressive strength prediction and low-carbon optimization of fly ash geopolymer concrete based on big data and ensemble learning
Peiling Jiang, Diansheng Zhao, Cheng Jin, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310422-e0310422
Open Access | Times Cited: 4
Peiling Jiang, Diansheng Zhao, Cheng Jin, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310422-e0310422
Open Access | Times Cited: 4
Analyzing the Behavior of Geopolymer Concrete with Different Novel Machine-Learning Algorithms
Sanjog Chhetri Sapkota, Dipak Dahal, Ajay Kumar Yadav, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 3
Closed Access
Sanjog Chhetri Sapkota, Dipak Dahal, Ajay Kumar Yadav, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 3
Closed Access
GUI-powered compressive strength estimation of green concrete utilising an efficient ensemble learning paradigm
Subodh Kumar Suman, Shivani Kamal, Sudeep Kumar, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-26
Closed Access
Subodh Kumar Suman, Shivani Kamal, Sudeep Kumar, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-26
Closed Access
Comparative Analysis of Automated Machine Learning and Optimized Conventional Machine Learning for Concrete’s Uniaxial Compressive Strength Prediction
Chukwuemeka Daniel
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Chukwuemeka Daniel
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Experimental study on performance of Reinforced Concrete (RC) beams with varied proportions of fly ash
Roszaini Kadir, Pasala Venkata Satish, Snigdha Sushil, et al.
i-manager’s Journal on Structural Engineering (2024) Vol. 13, Iss. 1, pp. 1-1
Closed Access
Roszaini Kadir, Pasala Venkata Satish, Snigdha Sushil, et al.
i-manager’s Journal on Structural Engineering (2024) Vol. 13, Iss. 1, pp. 1-1
Closed Access
