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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:

Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression
Mahmood Ahmad, Suraparb Keawsawasvong, Mohd Rasdan Ibrahim, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8781-8781
Open Access | Times Cited: 24

Showing 24 citing articles:

Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 63
Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
Gamil M. S. Abdullah, Mahmood Ahmad, Muhammad Babur, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Prediction of permeability coefficient of soil using hybrid artificial neural network models
Majid M. Kharnoob, Tarak Vora, A K Dasarathy, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Predicting coefficient of permeability of soils: an interpretable machine learning approach augmented by deep generative adversarial network
Laiba Gulaly, Muhammad Luqman, Hammanjoda Usman, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Experimental and analytical study on axial behaviour of square corrugated concrete filled single and double skin tube stub columns
Aya Mohsen Handousa, Mohamed Abdellatief, Fikry A. Salem, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques
Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, et al.
Results in Engineering (2025), pp. 104089-104089
Open Access
Performance characterisation of machine learning models for geotechnical axial pile load capacity estimation: an enhanced GPR-based approach
Ibrahim Haruna Umar, Mahir Sukairaj Salga, Hang Lin, et al.
Geomechanics and Geoengineering (2025), pp. 1-42
Closed Access
Coefficient of permeability prediction of soils using gene expression programming
Ruiliang Zhang, Shuai Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107504-107504
Closed Access | Times Cited: 10
Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm
Ali Reza Ghanizadeh, Amir Tavana Amlashi, Nasrin Heidarabadizadeh, et al.
Journal of Materials in Civil Engineering (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 3
Enhancing land use planning through integrating landscape analysis and flood inundation prediction Bekasi City’s in 2030
Novia Fitriyati, Hadi Susilo Arifin, Regan Leonardus Kaswanto, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm
Van Quan Tran
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 16
Predicting California bearing ratio of HARHA-treated expansive soils using Gaussian process regression
Mahmood Ahmad, Mohammad Al-Zubi, Ewa Kubińska-Jabcoń, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization
Hossein Moradi Moghaddam, Mohsen Keramati, Ahmad Fahimifar, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134443-134443
Closed Access | Times Cited: 8
Research on Permeability Characteristics and Gradation of Rockfill Material Based on Machine Learning
Qigui Yang, Jianqing Zhang, Xing Dai, et al.
Water (2024) Vol. 16, Iss. 8, pp. 1135-1135
Open Access | Times Cited: 2
Advanced modeling techniques using hierarchical gaussian process regression in civil engineering
Amani Assolie
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5599-5612
Closed Access | Times Cited: 2
Review and comparison of machine learning methods in developing optimal models for predicting geotechnical properties with consideration of feature selection
Tengyuan Zhao, Fenglin Shen, Xu Ling
SOILS AND FOUNDATIONS (2024) Vol. 64, Iss. 6, pp. 101523-101523
Closed Access | Times Cited: 2
Impact of waste foundry sand on drainage behavior of sandy soil: an experimental and machine learning study
Ankit Kumar, Aditya Parihar
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
A Comparative Study of AdaBoost and K-Nearest Neighbor Regressors for the Prediction of Compressive Strength of Ultra-High Performance Concrete
Rakesh Kumar, Baboo Rai, Pijush Samui
Lecture notes in civil engineering (2024), pp. 23-32
Open Access | Times Cited: 1
Prediction of soil degree of compaction based on machine learning: a case study of two fine-grained soils
Yuling Ran, Wei Bai, Lingwei Kong, et al.
Engineering Computations (2023) Vol. 41, Iss. 1, pp. 46-67
Closed Access | Times Cited: 2
Exploring machine learning models to predict the unfrozen water content in copper-contaminated clays
Edyta Nartowska, Parveen Sihag
Cold Regions Science and Technology (2024) Vol. 227, pp. 104296-104296
Closed Access
Permeability Characteristics of Improved Loess and Prediction Method for Permeability Coefficient
Guoliang Ran, Zhu Yan-peng, Xiaohui Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8072-8072
Open Access
Enhancing accurate prediction of soil permeability coefficients using data-driven approaches for soil and water conservation
Liancong Luo, Di Guan, Zhen Wang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
Evaluation and Prediction of Blast-Induced Ground Vibration Using Gaussian Process Regression at Saindak Copper–Gold Open Pit Mine, Pakistan
Sami Ullah, Gaofeng Ren, Yongxiang Ge, et al.
Mining Metallurgy & Exploration (2024)
Closed Access
Prediction of permeability coefficient of complex graded non-cohesive soil
Yu Li, Weihao Wang, Li Haonan, et al.
Research Square (Research Square) (2023)
Open Access
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