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:
Runtime-based metaheuristic prediction of the compressive strength of net-zero traditional concrete mixed with BFS, FA, SP considering multiple curing regimes
Kennedy C. Onyelowe, Denise‐Penelope N. Kontoni, Sita Rama Murty Pilla, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1241-1253
Closed Access | Times Cited: 9
Kennedy C. Onyelowe, Denise‐Penelope N. Kontoni, Sita Rama Murty Pilla, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1241-1253
Closed Access | Times Cited: 9
Showing 9 citing articles:
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
Tree-based machine learning models for predicting the bond strength in reinforced recycled aggregate concrete
Alireza Mahmoudian, Maryam Bypour, Denise‐Penelope N. Kontoni
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 5
Alireza Mahmoudian, Maryam Bypour, Denise‐Penelope N. Kontoni
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 5
Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications
Xinghuang Guo, César García, Alexis Iván Andrade Valle, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301075-e0301075
Open Access | Times Cited: 4
Xinghuang Guo, César García, Alexis Iván Andrade Valle, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301075-e0301075
Open Access | Times Cited: 4
The impact of data splitting methods on machine learning models: A case study for predicting concrete workability
Hossein Babaei, Mohammad Zamani, Soheil Mohammadi
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access
Hossein Babaei, Mohammad Zamani, Soheil Mohammadi
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access
Experimental investigation on reuse of dredged soils improved using waste rubber tyre powder (WRTP) and cement as admixtures
Rakshanda Showkat, Bashir Ahmed Mir, K. M. N. Saquib Wani
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 950-964
Closed Access | Times Cited: 3
Rakshanda Showkat, Bashir Ahmed Mir, K. M. N. Saquib Wani
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 950-964
Closed Access | Times Cited: 3
Performance evaluation of marine and industrial wastes in cement to envelope low carbon environment in manufacturing process
Monisha Ravi, Balasubramanian Murugesan, Kennedy C. Onyelowe
International Journal of Low-Carbon Technologies (2023) Vol. 18, pp. 986-998
Open Access | Times Cited: 5
Monisha Ravi, Balasubramanian Murugesan, Kennedy C. Onyelowe
International Journal of Low-Carbon Technologies (2023) Vol. 18, pp. 986-998
Open Access | Times Cited: 5
Estimation of ultimate bearing capacity of circular footing resting on recycled construction and demolition waste overlaying on loose sand
Jitendra Singh Yadav, Anant Saini, Shaik Hussain, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 1
Jitendra Singh Yadav, Anant Saini, Shaik Hussain, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 1
Closed Access | Times Cited: 1
Review of: "Optimized Material Removal and Tool Wear Rates in Milling API 5ST TS-90 Alloy: AI-Driven Optimization and Modelling with ANN, ANFIS, and RSM"
Kennedy C. Onyelowe
(2023)
Open Access | Times Cited: 1
Kennedy C. Onyelowe
(2023)
Open Access | Times Cited: 1
Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms
Carlos Roberto López Paredes, César Hernández García, Kennedy C. Onyelowe, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access
Carlos Roberto López Paredes, César Hernández García, Kennedy C. Onyelowe, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access
