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:
Multi-objective optimization and prediction of strength along with durability in acid-resistant self-compacting alkali-activated concrete
Suraj Kumar Parhi, Ashutosh Nanda, Saubhagya Kumar Panigrahi
Construction and Building Materials (2024) Vol. 456, pp. 139235-139235
Closed Access | Times Cited: 6
Suraj Kumar Parhi, Ashutosh Nanda, Saubhagya Kumar Panigrahi
Construction and Building Materials (2024) Vol. 456, pp. 139235-139235
Closed Access | Times Cited: 6
Showing 6 citing articles:
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 | Times Cited: 3
Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Microstructural Characterization and Multi-Objective Optimization of Concrete Containing Recycled Gravel and Crystallized Slag: A Box-Behnken Design Methodology
Naoual Handel, Assia Aidoud, Bencheikh Messaouda, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Naoual Handel, Assia Aidoud, Bencheikh Messaouda, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Evaluating the compressive strength of industrial wastes-based geopolymer concrete with machine learning models
Néstor Ulloa, María León, Luis Felipe Silva Palmay, et al.
Construction and Building Materials (2025) Vol. 472, pp. 140891-140891
Closed Access
Néstor Ulloa, María León, Luis Felipe Silva Palmay, et al.
Construction and Building Materials (2025) Vol. 472, pp. 140891-140891
Closed Access
Machine learning for efficient CO2 sequestration in cementitious materials: a data-driven method
Yankun Sun, Chen Zhang, Yuan-Hao WEI, et al.
npj Materials Sustainability (2025) Vol. 3, Iss. 1
Open Access
Yankun Sun, Chen Zhang, Yuan-Hao WEI, et al.
npj Materials Sustainability (2025) Vol. 3, Iss. 1
Open Access
Optimizing Cu2+ adsorption prediction in Undaria pinnatifida using machine learning and isotherm models
Haoran Chen, Rui Zhang, Xiaohan Qu, et al.
Journal of Hazardous Materials (2025), pp. 138202-138202
Closed Access
Haoran Chen, Rui Zhang, Xiaohan Qu, et al.
Journal of Hazardous Materials (2025), pp. 138202-138202
Closed Access
Compressive Strength Prediction of Geopolymers Using Stacking Ensemble and Fuzzy Splitting
Sourav Das, Satyabrata Roy, Srivaishnavi Yaddanapudi, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Sourav Das, Satyabrata Roy, Srivaishnavi Yaddanapudi, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model
Suraj Kumar Parhi, Saswat Dwibedy, Sanjaya Kumar Patro
Environmental Research (2025) Vol. 279, pp. 121918-121918
Closed Access
Suraj Kumar Parhi, Saswat Dwibedy, Sanjaya Kumar Patro
Environmental Research (2025) Vol. 279, pp. 121918-121918
Closed Access
