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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:

Retracted: Predicting the compressive strength of modified recycled aggregate concrete
Cuina Yang, Hongwei Feng, Mahzad Esmaeili‐Falak
Structural Concrete (2022) Vol. 23, Iss. 6, pp. 3696-3717
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models
Reza Sarkhani Benemaran, Mahzad Esmaeili‐Falak, Akbar A. Javadi
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Open Access | Times Cited: 83
The effectiveness of surrogate models in predicting the long-term behavior of varying compressive strength ranges of recycled concrete aggregate for a variety of shapes and sizes of specimens
Aisha Kamal Ibrahim, Hyfaa Yasin Dhahir, Ahmed Salih Mohammed, et al.
Archives of Civil and Mechanical Engineering (2023) Vol. 23, Iss. 1
Closed Access | Times Cited: 40
Metaheuristic‐based machine learning modeling of the compressive strength of concrete containing waste glass
Mohamed El Amine Ben Seghier, Emadaldin Mohammadi Golafshani, Jafar Jafari‐Asl, et al.
Structural Concrete (2023) Vol. 24, Iss. 4, pp. 5417-5440
Open Access | Times Cited: 27
General and optimal 2D convolutional neural networks to predict the residual compressive strength of concretes exposed to high temperatures
Hamed Kharrazi, Vahab Toufigh, Mehrdad Boroushaki
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107901-107901
Closed Access | Times Cited: 11
Improving the salt frost resistance of recycled aggregate concrete modified by air-entraining agents and nano-silica under sustained compressive loading
Hongrui Zhang, Gan Luo, Jiuwen Bao, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03170-e03170
Open Access | Times Cited: 9
Estimation of rapid chloride permeability of SCC using hyperparameters optimized random forest models
Da-Ming Ge, Li-Cai Zhao, Mahzad Esmaeili‐Falak
Journal of Sustainable Cement-Based Materials (2022) Vol. 12, Iss. 5, pp. 542-560
Closed Access | Times Cited: 35
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
Ramin Kazemi
Engineering Reports (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 21
Fracture behaviours of sustainable multi-recycled aggregate concrete under combined compression-shear loading
Bin Lei, Hongchen Yu, Yipu Guo, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106382-106382
Closed Access | Times Cited: 14
Experimental and machine learning approaches to investigate the application of sugarcane bagasse ash as a partial replacement of fine aggregate for concrete production
Rajwinder Singh, Mahesh Patel
Journal of Building Engineering (2023) Vol. 76, pp. 107168-107168
Closed Access | Times Cited: 12
Characterization and prediction of compressive strength in ultralow-temperature frozen soil using nuclear magnetic resonance and WOA-ENN Model
Zhifeng Ren, Enliang Wang, Jiankun Liu, et al.
Transportation Geotechnics (2023) Vol. 43, pp. 101143-101143
Closed Access | Times Cited: 8
Evaluation of compressive strength of the HPC produced with admixtures by a novel hybrid SVR model
Xiaoxuan Hu
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 3, pp. 357-370
Closed Access | Times Cited: 7
Comparison of regression analysis for estimation of initial and total fracture energy of concrete
Jia Peng
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 173-190
Closed Access | Times Cited: 6
Effectiveness of FRP confinement for low strength recycled aggregate concrete compressive members having optimized combination of fibers
Ali Raza, Ahmed Babeker Elhag, Mohamed Hechmi El Ouni, et al.
Structural Concrete (2023) Vol. 25, Iss. 2, pp. 1092-1104
Open Access | Times Cited: 5
Predict the properties of self-compacting concrete using the optimized support vector regression models
Jie Li, Gongxing Yan, Haojie Chen
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 3, pp. 431-450
Closed Access | Times Cited: 4
Experimental and deep neural network approaches on strength evaluation of ternary blended concrete
Solomon Oyebisi, Thamer Alomayri
Construction and Building Materials (2024) Vol. 439, pp. 137276-137276
Closed Access | Times Cited: 1
Comparing Machine Learning Regression Models for Early-Age Compressive Strength Prediction of Recycled Aggregate Concrete
Muhammed Ulucan, Güngör Yıldırım, Bilal Alataş, et al.
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 2, pp. 563-580
Open Access | Times Cited: 1
A Comparison of Different Machine Learning Algorithms in the Classification of Impervious Surfaces: Case Study of the Housing Estate Fort Bema in Warsaw (Poland)
Janusz Sobieraj, Marcos Fernández, Dominik Metelski
Buildings (2022) Vol. 12, Iss. 12, pp. 2115-2115
Open Access | Times Cited: 6
Comparison of SVR models for predicting the compaction properties of lateritic soils as novel hybrid methods
Pengyu Zhu, Ye Zhu, Peng Zhang
Engineering Research Express (2022) Vol. 4, Iss. 3, pp. 035038-035038
Closed Access | Times Cited: 5
A Numerical Study on the Application of Geocell Mat System for Buried Flexible Pipes
Xiaoling Hong
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 4, pp. 1526-1534
Open Access | Times Cited: 2
Compressive strength estimation of ultra-great workability concrete using hybrid algorithms
Yongcun Zhang, Zhe Bai, Huiping Zhang
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 3, pp. 389-400
Closed Access | Times Cited: 2
Evaluation of Standard Compaction Parameters of Lateritic Soils Using Regression Analysis
Peng Yao, Mengyang Lu
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 3
Closed Access | Times Cited: 2
Predicting the Settlement of Shallow Foundation Using Metaheuristic SVR Approaches
Xiaoqi Wan
Geotechnical and Geological Engineering (2023) Vol. 41, Iss. 8, pp. 4795-4805
Closed Access | Times Cited: 2
Geographic division of exposure environment for concrete structure based on fuzzy clustering‐rough set information entropy
Daming Luo, Hui Dong, Ditao Niu
Structural Concrete (2022) Vol. 24, Iss. 1, pp. 485-503
Closed Access | Times Cited: 3
Retracted: Application of optimization‐based estimation analysis for predicting the compressive strength of eco‐friendly modified geopolymer concrete
Jin Jian-qing, Tongge Wu, Zhijun Zhang, et al.
Structural Concrete (2022)
Closed Access | Times Cited: 3
A comparison study of regression analysis for estimating the capillary water absorption of construction stones
Bowei Yu, Yicheng Wei
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 4, pp. 685-696
Closed Access | Times Cited: 1
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