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:
Optimizing and hyper-tuning machine learning models for the water absorption of eggshell and glass-based cementitious composite
Xiqiao Xia
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296494-e0296494
Open Access | Times Cited: 7
Xiqiao Xia
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296494-e0296494
Open Access | Times Cited: 7
Showing 7 citing articles:
Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
Waleed Bin Inqiad, Muhammad Faisal Javed, Muhammad Shahid Siddique, et al.
Materials Today Communications (2024) Vol. 39, pp. 109222-109222
Closed Access | Times Cited: 10
Waleed Bin Inqiad, Muhammad Faisal Javed, Muhammad Shahid Siddique, et al.
Materials Today Communications (2024) Vol. 39, pp. 109222-109222
Closed Access | Times Cited: 10
Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP
Qiong Tian, Yijun Lü, Ji Zhou, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Closed Access | Times Cited: 8
Qiong Tian, Yijun Lü, Ji Zhou, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Closed Access | Times Cited: 8
Predicting 28-day compressive strength of fibre-reinforced self-compacting concrete (FR-SCC) using MEP and GEP
Waleed Bin Inqiad, Muhammad Shahid Siddique, Mujahid Ali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Waleed Bin Inqiad, Muhammad Shahid Siddique, Mujahid Ali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Predictive Modelling of Mechanical Properties of Concrete Using Machine Learning with Secondary Treated Waste Water and Fly Ash
Kumar Rajiv, Y Ramalinga Reddy, G Shiva Kumar, et al.
Cleaner Waste Systems (2025), pp. 100296-100296
Open Access
Kumar Rajiv, Y Ramalinga Reddy, G Shiva Kumar, et al.
Cleaner Waste Systems (2025), pp. 100296-100296
Open Access
AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete
Quanwei Zhao, Qi Chen, Ali H. AlAteah, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Quanwei Zhao, Qi Chen, Ali H. AlAteah, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches
Muhammad Nasir Amin, Ahmed A. Alawi Al-Naghi, Roz‐Ud‐Din Nassar, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Muhammad Nasir Amin, Ahmed A. Alawi Al-Naghi, Roz‐Ud‐Din Nassar, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Synthesis of Sustainable OPC‐Blended Geopolymer Concrete: Experimental and Modeling Study
Peng Zhou, Alireza Bahrami, Bin Gan, et al.
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Peng Zhou, Alireza Bahrami, Bin Gan, et al.
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Network Intrusion Detection System Using Machine Learning
R. Gunasundari, Ra Srinethe, V. Thilagavathianu
Advances in information security, privacy, and ethics book series (2024), pp. 173-204
Closed Access
R. Gunasundari, Ra Srinethe, V. Thilagavathianu
Advances in information security, privacy, and ethics book series (2024), pp. 173-204
Closed Access
