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OpenAlex Citation Counts

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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:

Development of autogenous shrinkage prediction model of alkali-activated slag-fly ash geopolymer based on machine learning
Jiale Shen, Yue Li, Hui Lin, et al.
Journal of Building Engineering (2023) Vol. 71, pp. 106538-106538
Closed Access | Times Cited: 25

Showing 25 citing articles:

Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Mohamed Abdellatief, Youssef M. Hassan, Mohamed T. Elnabwy, et al.
Construction and Building Materials (2024) Vol. 436, pp. 136884-136884
Closed Access | Times Cited: 28
The basic characteristics of paste backfill materials based on highly active mineral admixtures: Part I. Preliminary study on flow, mechanics, hydration and microscopic properties
Yanpeng He, Wenyu Lv, Zhiyu Fang, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1366-1377
Closed Access | Times Cited: 14
3D printing of alkali-activated geopolymers for sustainable and circular economy advancements
Arslan Yousaf, Ans Al Rashid, Muammer Koç‬
Circular Economy (2024) Vol. 3, Iss. 3, pp. 100101-100101
Open Access | Times Cited: 9
Machine learning based modeling for predicting the compressive strength of solid waste material-incorporated Magnesium Phosphate Cement
Xiao Luo, Yue Li, Qiuao Wang, et al.
Journal of Cleaner Production (2024) Vol. 442, pp. 141172-141172
Closed Access | Times Cited: 8
Influence of red mud calcined at different temperatures on shrinkage deformation of one-part alkali-activated fly ash-slag mortar
Qingqing Xie, Xiantao Huang, Boxiong Shen, et al.
Construction and Building Materials (2025) Vol. 465, pp. 140212-140212
Closed Access
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
Machine Learning and Sustainable Geopolymer Materials: A Systematic Review
Ho Anh Thu Nguyen, Duy Hoang Pham, Yonghan Ahn, et al.
Materials Today Sustainability (2025) Vol. 30, pp. 101095-101095
Open Access
Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete
Mohamed Abdellatief, G. Murali, Saurav Dixit
Results in Engineering (2025) Vol. 25, pp. 104542-104542
Open Access
Effects of thermal conditioning and alkali molars on the properties changes of mesoporous fly ash geopolymers
Chonkei Iong, Jean-Baptiste Mawulé Dassekpo, Frederick Ntim Gyakari, et al.
Construction and Building Materials (2025) Vol. 471, pp. 140676-140676
Closed Access
Durability of slag-based alkali-activated materials: A critical review
H. Süleyman Gökçe
Journal of the Australian Ceramic Society (2024) Vol. 60, Iss. 3, pp. 885-903
Open Access | Times Cited: 3
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: 3
Prediction of compressive strength and feature importance analysis of solid waste alkali-activated cementitious materials based on machine learning
Yongjie Ding, Wei Wei, Jiaojiao Wang, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133545-133545
Closed Access | Times Cited: 9
Evaluation and prediction of slag-based geopolymer's compressive strength using design of experiment (DOE) approach and artificial neural network (ANN) algorithms
Rami Al‐Sughayer, Hunain Alkhateb, Hakan Yasarer, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137322-137322
Closed Access | Times Cited: 2
Understanding the synergistic geopolymerization mechanism of multiple solid wastes in ternary geopolymers
Junfei Zhang, Ninghui Sun, Zehui Huo, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110295-110295
Closed Access | Times Cited: 2
Parametric Analysis and Prediction of Geopolymerization Process
Suraj Kumar Parhi, Sanjaya Kumar Patro
Materials Today Communications (2024), pp. 111047-111047
Closed Access | Times Cited: 2
Buildability Analysis on Squared Profile Structure in 3D Concrete Printing (3DCP)
Ramsha Imran, Ans AlRashid, Shoukat Alim Khan, et al.
European Journal of Materials (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 4
Research on the Configuration of Multi-Component Solid Waste Cementitious Materials and the Strength Characteristics of Consolidated Aeolian Sand
Akelamjiang Maimait, Yaqiang Wang, Jianjun Cheng, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3059-3059
Open Access | Times Cited: 1
Developing an indexing methodology for estimating the reactivity of slag from different sources use in alkali-activated materials
Ke-yu Chen, Chao Miao, Guang-hua Lyu, et al.
Journal of Non-Crystalline Solids (2024) Vol. 647, pp. 123278-123278
Closed Access | Times Cited: 1
Integrating Data Imputation and Augmentation with Interpretable Machine Learning for Efficient Strength Prediction of Fly Ash-Based Alkali-Activated Concretes
Nausad Miyan, N. M. Anoop Krishnan, Sumanta Das
Journal of Building Engineering (2024) Vol. 98, pp. 111248-111248
Closed Access | Times Cited: 1
Stabilization of Pb/Zn mine tailings by modified fly ash: characterization, performance, and mechanism
Xiaogang Sun, Yingliang Zhao, Yong Sun, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53458-53471
Closed Access
Multi-objective optimization of ternary geopolymers with multiple solid wastes using machine learning and NSGA-II
Junfei Zhang, Fuying Shang, Zehui Huo, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing and comparing shrinkage prediction models for High-Strength Concrete with and without admixtures
Rahima Noordien, Andrew P N Sutherland, Kumar Pallav
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015114-015114
Open Access
Multi-objective optimization of ternary geopolymers with multiple solid wastes
Junfei Zhang, Fuying Shang, Zehui Huo, et al.
Materials Today Communications (2024) Vol. 40, pp. 109599-109599
Closed Access
Effect of 60 °C sustained temperature conditions on the mechanical properties and microstructure of alkali-activated fly ash-slag pastes and mortars
Hongqiang Ma, Hao Fu, Chenyu Cao, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110346-110346
Closed Access
The Effect of Geopolymers and Limestone Calcined Clay in Reduction of Anthropogenic Carbon dioxide Emissions: A Review
Ayodeji K. Ogundana
(2024), pp. 1-8
Closed Access
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