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:
Presenting a Novel Approach for Predicting the Compressive Strength of Structural Lightweight Concrete Based on Pattern Recognition and Gene Expression Programming
Seyed Azim Hosseini, Hossein Maleki Toulabi
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 14169-14181
Closed Access | Times Cited: 5
Seyed Azim Hosseini, Hossein Maleki Toulabi
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 14169-14181
Closed Access | Times Cited: 5
Showing 5 citing articles:
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2
Zahra Bahrami, Fatemeh Bashipour, Alireza Baghban
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Zahra Bahrami, Fatemeh Bashipour, Alireza Baghban
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
An efficient prediction of sustainable concrete properties of hybrid steel fiber-reinforced self-compacting concrete using the novel JO-mSigmoid-ANN model
K. B. Ramkumar, P. R. Kannan Rajkumar, J. Baskara Sundararaj, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access
K. B. Ramkumar, P. R. Kannan Rajkumar, J. Baskara Sundararaj, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access
Feasibility of using recycled waste travertine stone powder (RWTSP) as a substitute for mineral filler in microsurfacing surface treatment
Amin Nejati, Ahmad Mansourian, Mehdi Ravanshadnia, et al.
Construction and Building Materials (2024) Vol. 418, pp. 135389-135389
Closed Access | Times Cited: 2
Amin Nejati, Ahmad Mansourian, Mehdi Ravanshadnia, et al.
Construction and Building Materials (2024) Vol. 418, pp. 135389-135389
Closed Access | Times Cited: 2
Predicting the compressive strength of sulfur concrete using soft computing techniques
Seyed Azim Hosseini, Hossein Maleki Toulabi
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 443-457
Closed Access | Times Cited: 6
Seyed Azim Hosseini, Hossein Maleki Toulabi
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 443-457
Closed Access | Times Cited: 6
An ISM-MICMAC-based study for identification and classification of preventable safety risk mitigation factors in mass housing projects following a BIM approach
Amir Mohammad Maleki Toulabi, Towhid Pourrostam, Babak Aminnejad
Heliyon (2024) Vol. 10, Iss. 19, pp. e38240-e38240
Open Access | Times Cited: 1
Amir Mohammad Maleki Toulabi, Towhid Pourrostam, Babak Aminnejad
Heliyon (2024) Vol. 10, Iss. 19, pp. e38240-e38240
Open Access | Times Cited: 1
Machine Learning Regression and Optimal Neural Network Models for Prediction of Compressive Strength of High Strength Self-Compacting Concrete - A Comparative Study
Dev Prasad, H SIDDESHA, Pavan Kumar Emani, et al.
Research Square (Research Square) (2024)
Open Access
Dev Prasad, H SIDDESHA, Pavan Kumar Emani, et al.
Research Square (Research Square) (2024)
Open Access
