Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm
Mengtian Fan, Yue Li, Jiale Shen, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103631-103631
Closed Access | Times Cited: 18

Showing 18 citing articles:

Exploring LightGBM-SHAP: Interpretable predictive modeling for concrete strength under high temperature conditions
Shaoqiang Meng, Zhenming Shi, Chengzhi Xia, et al.
Structures (2025) Vol. 71, pp. 108134-108134
Closed Access | Times Cited: 4
A review on properties and multi-objective performance predictions of concrete based on machine learning models
Bowen Ni, Md Zillur Rahman, Shuaicheng Guo, et al.
Materials Today Communications (2025), pp. 112017-112017
Closed Access | Times Cited: 1
Analysis and prediction of freeze-thaw resistance of concrete based on machine learning
Yue Li, Kaikai Jin, Hui Lin, et al.
Materials Today Communications (2024) Vol. 39, pp. 108946-108946
Closed Access | Times Cited: 6
Optimization of Ultra-High Performance Concrete Based on Response Surface Methodology and NSGA-II
Zhenxing Wang, Jiaming Wu, Lei Su, et al.
Materials (2024) Vol. 17, Iss. 19, pp. 4885-4885
Open Access | Times Cited: 4
Machine learning based optimization for mix design of manufactured sand concrete
Yuan Zhong-xia, Wei Zheng, Hongxia Qiao
Construction and Building Materials (2025) Vol. 467, pp. 140256-140256
Closed Access
Multi-Objective Optimization Design of Cement-Based Materials for Low-Carbon Goals
Maofeng Jing, Haonan Jia, Quansheng Liu, et al.
Materials Today Communications (2025), pp. 112135-112135
Closed Access
Interpretable machine learning model for performance characterization of lightweight concrete and composition design
Yuyang Zhao, Meng Wang, Jian Wang, et al.
Materials Today Communications (2025), pp. 112266-112266
Closed Access
Challenges with hard-to-learn data in developing machine learning models for predicting the strength of multi-recycled aggregate concrete
Jeonghyun Kim
Applied Soft Computing (2025), pp. 113110-113110
Closed Access
Optimization and Prediction of Compressive Strength and Slump in Concrete with Phase Change Microcapsules
Jiangang Wei, Hanwen Zhang, Yang Yan, et al.
(2025)
Closed Access
Integrating machine learning with multi-objective optimization to maximize the ductility of macro-synthetic fiber reinforced rubber concrete
Lulu Chen, Xudong Chen, Yi Ren, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04647-e04647
Open Access
Multi-objective optimization and predictive analytics of strength and embodied impacts of CDW-based geopolymers using various machine learning approaches
Obaid Mahmoodi, Hocine Siad, Mohamed Lachemi, et al.
Neural Computing and Applications (2025)
Closed Access
Machine learning-driven modeling and interpretative analysis of drying shrinkage behavior in magnesium silicate hydrate cement
Xiao Luo, Yue Li, Hui Lin, et al.
Journal of Building Engineering (2025), pp. 112721-112721
Closed Access
Multi-objective optimization of compressive strength and slump in MPCM-integrated concrete using machine learning
Jiangang Wei, Hanwen Zhang, Yang Yan, et al.
Materials Today Communications (2025), pp. 112619-112619
Closed Access
Optimization and Performance Prediction of Phosphate Tailing-Based Geopolymer Formulations Using D-Optimal Mixture Design and Multi-Algorithm Collaboration
Changbao Jiang, Yihao Yang, Menglai Wang, et al.
Process Safety and Environmental Protection (2025), pp. 107242-107242
Closed Access
Performance-based design of FRP-confined recycled aggregate concrete powered by machine learning techniques
Wenguang Chen, Jinjun Xu, Kequan Yu, et al.
Engineering Structures (2025) Vol. 336, pp. 120478-120478
Closed Access
Investigation on compressive strength and splitting tensile strength of manufactured sand concrete: machine learning prediction and experimental verification
Kaikai Jin, Yue Li, Jiale Shen, et al.
Journal of Building Engineering (2024), pp. 110852-110852
Closed Access | Times Cited: 2
Prediction and design optimization of mechanical properties for rubber fertilizer hose reinforced with helically wrapped nylon
Mengfan Wang, Lixin Zhang, Changxin Fu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Multi-objective optimization design of recycled concrete based on the physical characteristics of aggregate
Dayang Wang, Yongcheng Ji, Wenyuan Xu, et al.
Construction and Building Materials (2024) Vol. 458, pp. 139623-139623
Closed Access
Page 1

Scroll to top