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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:

Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches
Babatunde Abiodun Salami, Mudassir Iqbal, Abdulazeez Abdulraheem, et al.
Cement and Concrete Composites (2022) Vol. 133, pp. 104721-104721
Open Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms
Yanhua Yang, Guiyong Liu, Haihong Zhang, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 190-190
Open Access | Times Cited: 8
Flexural strength prediction of concrete beams reinforced with hybrid FRP and steel bars based on machine learning
Tao Zhang, Danying Gao, Chengcheng Xue
Structures (2024) Vol. 65, pp. 106652-106652
Closed Access | Times Cited: 8
Rheology dependent pore structure optimization of high-performance foam concrete
Dingqiang Fan, Chunpeng Zhang, Jian‐Xin Lu, et al.
Cement and Concrete Research (2024) Vol. 188, pp. 107737-107737
Closed Access | Times Cited: 8
A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 2, pp. 2327-2347
Closed Access | Times Cited: 23
Experimental investigation of mechanical behavior and microstructural properties in roadbed foam concrete at different densities and correlation analysis
Wen Huang, Xudong Chen, Lu Feng, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02565-e02565
Open Access | Times Cited: 16
Investigation on preparation and compressive strength model of steel slag foam concrete
Guosheng Xiang, Danqing Song, Huajian Li, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106548-106548
Closed Access | Times Cited: 14
Using the Response Surface Method and Artificial Neural Network to Estimate the Compressive Strength of Environmentally Friendly Concretes Containing Fine Copper Slag Aggregates
Iman Afshoon, Mahmoud Miri, Seyed Roohollah Mousavi
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 6, pp. 3415-3429
Closed Access | Times Cited: 14
Evaluation of multiple machine learning models for ASR expansion of concrete
Yanhua Yang, Guiyong Liu, Xiaowei Feng, et al.
Materials Today Communications (2024) Vol. 39, pp. 109045-109045
Closed Access | Times Cited: 6
Feasibility study and optimization of limestone calcined clay composites for compressive strength using multi-layered explainable artificial intelligence models
Toaha Mohammad, Syed Muhammad Ibrahim, Saad Shamim Ansari, et al.
Materials Today Communications (2024) Vol. 40, pp. 109676-109676
Closed Access | Times Cited: 6
Machine learning prediction method for the interface bond strength between fiber reinforced polymer bars and concrete based on multi-feature driven analysis
Tao Huang, Chunfeng Wan, Tingbin Liu, et al.
Materials Today Communications (2024), pp. 110706-110706
Closed Access | Times Cited: 6
Data driven multi-objective design for low-carbon self-compacting concrete considering durability
Boyuan Cheng, Mei Liu, Wu-Jian Long, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141947-141947
Closed Access | Times Cited: 5
Performance of foam concrete developed from construction and demolition waste
Osman Şimşek, M.T. Ünal, H. Süleyman Gökçe
Materials Today Sustainability (2024) Vol. 27, pp. 100822-100822
Closed Access | Times Cited: 5
Performance investigation and parameter optimization of ultra-light aerated concrete using orthogonal experimental design
Pengfei Wei, Guansheng Yin, Minghui Shi, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e01841-e01841
Open Access | Times Cited: 12
Shrinkage behavior of recycled lump/aggregate concrete containing recycled sand from weathered residual soil of granite
Bo Wu, Zhuohan Wang, Zhaonan Chen
Construction and Building Materials (2023) Vol. 394, pp. 132146-132146
Closed Access | Times Cited: 12
Applicability of Machine Learning Algorithms in Predicting Chloride Diffusion in Concrete: Modeling, Evaluation, and Feature Analysis
Weizheng Liu, Guiyong Liu, Xiaolin Zhu
Case Studies in Construction Materials (2024) Vol. 21, pp. e03573-e03573
Open Access | Times Cited: 5
Analyzing and mapping the current status, hotspots, and perspectives of lightweight cellular concrete: A bibliometric evaluation from 2000 to 2022
Yunlong Yao, Xin Liu, Zhiwei Shao, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109001-109001
Closed Access | Times Cited: 4
Active roof-contacted combined backfill mining technology based on a modified magnesium slag-based cementitious material
Bingbing Tu, Lang Liu, Xiang Ding, et al.
Minerals Engineering (2024) Vol. 216, pp. 108916-108916
Closed Access | Times Cited: 4
An Experimental Investigation to Predict the Compressive Strength of Lightweight Ceramsite Aggregate UHPC Using Boosting and Bagging Techniques
Md. Sohel Rana, Fangyuan Li
Materials Today Communications (2024), pp. 110759-110759
Closed Access | Times Cited: 4
Development of Foam Concrete toward High Strength and CO2 Sequestration
Dingqiang Fan, Chunpeng Zhang, Xiaosheng Li, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 45, pp. 16622-16637
Closed Access | Times Cited: 4
Multi-objective optimization design of foam concrete mechanical properties through the integration of FEM and DL
Bin Ruan, Juncheng Li, Zhenglong Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103031-103031
Closed Access | Times Cited: 4
Multi-objective optimization design of residential area based on microenvironment simulation
Zhixing Li, Yukai Zou, Huijuan Xia, et al.
Journal of Cleaner Production (2023) Vol. 425, pp. 138922-138922
Closed Access | Times Cited: 11
Prediction of hydraulic conductivity of sodium bentonite GCLs by machine learning approaches
Dong Li, Zhenlong Jiang, Kuo Tian, et al.
Environmental Geotechnics (2023), pp. 1-20
Closed Access | Times Cited: 10
Enhancing structural analysis and electromagnetic shielding in carbon foam composites with applications in concrete integrating XGBoost machine learning, carbon nanotubes, and montmorillonite
Yi Cao, Mohamed Amine Khadimallah, Mohd Ahmed, et al.
Synthetic Metals (2024) Vol. 307, pp. 117656-117656
Closed Access | Times Cited: 4
Quotient Complex (QC)-Based Machine Learning for 2D Hybrid Perovskite Design
Chuan-Shen Hu, Rishikanta Mayengbam, Kelin Xia, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Explainable artificial intelligence-based compressive strength optimization and Life-Cycle Assessment of eco-friendly sugarcane bagasse ash concrete
Varisha Rizwan, Syed Muhammad Ibrahim, Mohd Moonis Zaheer, et al.
Environmental Science and Pollution Research (2025)
Closed Access

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