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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:

Predicting Triaxial Compressive Strength and Young’s Modulus of Frozen Sand Using Artificial Intelligence Methods
Mahzad Esmaeili‐Falak, Hooshang Katebi, Meysam Vadiati, et al.
Journal of Cold Regions Engineering (2019) Vol. 33, Iss. 3
Closed Access | Times Cited: 101

Showing 1-25 of 101 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
Application of extreme gradient boosting method for evaluating the properties of episodic failure of borehole breakout
Reza Sarkhani Benemaran
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211837-211837
Closed Access | Times Cited: 57
Application of optimization‐based regression analysis for evaluation of frost durability of recycled aggregate concrete
Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran
Structural Concrete (2024) Vol. 25, Iss. 1, pp. 716-737
Closed Access | Times Cited: 50
Ensemble Extreme Gradient Boosting based models to predict the bearing capacity of micropile group
Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran
Applied Ocean Research (2024) Vol. 151, pp. 104149-104149
Closed Access | Times Cited: 34
Estimating Axial Bearing Capacity of Driven Piles Using Tuned Random Forest Frameworks
Belal Mohammadi Yaychi, Mahzad Esmaeili‐Falak
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 17
Improved arithmetic optimization algorithm and its application to carbon fiber reinforced polymer-steel bond strength estimation
Xiaoling Shi, Xinping Yu, Mahzad Esmaeili‐Falak
Composite Structures (2022) Vol. 306, pp. 116599-116599
Closed Access | Times Cited: 62
Estimation of unconfined compressive strength of marine clay modified with recycled tiles using hybridized extreme gradient boosting method
Daihong Li, Xiaoyu Zhang, Qian Kang, et al.
Construction and Building Materials (2023) Vol. 393, pp. 131992-131992
Closed Access | Times Cited: 30
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
Laiba Khawaja, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Retracted: A comparative study on predicting the rapid chloride permeability of self‐compacting concrete using meta‐heuristic algorithm and artificial intelligence techniques
Yuan Jia, Ming Zhao, Mahzad Esmaeili‐Falak
Structural Concrete (2022) Vol. 23, Iss. 2, pp. 753-774
Closed Access | Times Cited: 36
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
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
XGB-Northern Goshawk Optimization: Predicting the Compressive Strength of Self-Compacting Concrete
Jiang Bian, Ruili Huo, Yan Zhong, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 4, pp. 1423-1439
Open Access | Times Cited: 7
Models to estimate the elastic modulus of weak rocks based on least square support vector machine
Mehmet Cemal Acar, Bülent Kaya
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 14
Open Access | Times Cited: 41
Predicting the uniaxial compressive strength of oil palm shell lightweight aggregate concrete using artificial intelligence‐based algorithms
Weixiang Zhu, Lihua Huang, Liudan Mao, et al.
Structural Concrete (2021) Vol. 23, Iss. 6, pp. 3631-3650
Closed Access | Times Cited: 33
Principal component analysis–artificial neural network-based model for predicting the static strength of seasonally frozen soils
Yiqiang Sun, Shijie Zhou, Shangjiu Meng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
A hydrogeochemical analysis of groundwater using hierarchical clustering analysis and fuzzy C-mean clustering methods in Arak plain, Iran
Akram Rahbar, Meysam Vadiati, Mahdi Talkhabi, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 13
Closed Access | Times Cited: 37
Effect of Freezing on Stress–Strain Characteristics of Granular and Cohesive Soils
Mahzad Esmaeili‐Falak, Hooshang Katebi, Akbar A. Javadi
Journal of Cold Regions Engineering (2020) Vol. 34, Iss. 2
Closed Access | Times Cited: 35
Suspended sediment load prediction using artificial intelligence techniques: comparison between four state-of-the-art artificial neural network techniques
Khalil Rezaei, Biswajeet Pradhan, Meysam Vadiati, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 3
Open Access | Times Cited: 31
Retracted: Prediction of the elastic modulus of recycled aggregate concrete applying hybrid artificial intelligence and machine learning algorithms
Qian Zhang, Mansour Afzal
Structural Concrete (2021) Vol. 23, Iss. 4, pp. 2477-2495
Closed Access | Times Cited: 28
Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III
Haoqing Jiang, Wei Dong, S. C. Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110036-110036
Closed Access
Submarine pipeline corrosion rate prediction model based on high-dimensional mapping augmentation and residual update gradient forest
Hongbing Liu, Zhenhao Zhu, Jingyang Zhang, et al.
Applied Ocean Research (2025) Vol. 155, pp. 104432-104432
Open Access
Usage of the dwarf mongoose optimization on estimation algorithms related to fiber-reinforced recycled aggregate concrete
Linfang Wang
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Closed Access
Application of optimized random forest simulation on flexural strength of basalt fiber reinforced concrete
Hongliang Yue, Yan Wang, Liang Xiao-yong, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 4
Closed Access
Optimized decision tree algorithms to estimate ultimate strain of concrete wrapped by aramid fiber-reinforced polymer
Yangyang Guo
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 4
Closed Access
Optimized least square regression analysis on fiber reinforced recycled aggregate concrete
Chunming Chen, Hongfei Xiao, Jing Zhao
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access
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