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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:

Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
Navid Kardani, Mohammad Aminpour, Muhammad Nouman Amjad Raja, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100827-100827
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

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: 54
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 19
Support Vector Machine (SVM) Application for Uniaxial Compression Strength (UCS) Prediction: A Case Study for Maragheh Limestone
Ahmed Cemiloglu, Li-Cai Zhu, Sibel Arslan, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2217-2217
Open Access | Times Cited: 35
Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms
Sufyan Ghani, Sanjog Chhetri Sapkota, Raushan Kumar Singh, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 177, pp. 108399-108399
Closed Access | Times Cited: 32
Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming
Laiba Khawaja, Muhammad Faisal Javed, Usama Asif, et al.
Structures (2024) Vol. 66, pp. 106837-106837
Closed Access | Times Cited: 11
A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils
Ammar Alnmr, Richard P. Ray, Mounzer Omran Alzawi
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1411-1411
Open Access | Times Cited: 9
Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams
Viet‐Linh Tran, Jin-Kook Kim
Expert Systems with Applications (2023) Vol. 221, pp. 119768-119768
Closed Access | Times Cited: 20
Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure
Furquan Ahmad, Pijush Samui, S. S. Mishra
Journal of Mountain Science (2024) Vol. 21, Iss. 2, pp. 690-717
Closed Access | Times Cited: 6
A systematic characterization of the mixture of red mud and bottom ash as a geomaterial: an efficient utilization in subgrade pavement
Akshay Dixit, Surabhi Jain, Sarat Kumar Das
Journal of Material Cycles and Waste Management (2024) Vol. 26, Iss. 4, pp. 2159-2174
Closed Access | Times Cited: 6
Novel Insights in Soil Mechanics: Integrating Experimental Investigation with Machine Learning for Unconfined Compression Parameter Prediction of Expansive Soil
Ammar Alnmr, Haidar Hosamo, Chuangxin Lyu, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4819-4819
Open Access | Times Cited: 6
Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface
Loai Alkhattabi, Kiran Arif
Materials Today Communications (2024) Vol. 40, pp. 109764-109764
Closed Access | Times Cited: 6
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: 6
An Explicit Model for Soil Resilient Modulus Incorporating Freezing–Thawing Cycles Through Offspring Selection Genetic Algorithm (OSGA)
Laith Sadik, Duaa Al-Jeznawi, Saif Alzabeebee, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 5, pp. 2838-2853
Closed Access | Times Cited: 5
Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties
Md Shayan Sabri, Amit Jaiswal, A. K. Verma, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5265-5286
Closed Access | Times Cited: 5
Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions
Abdul Rauf, Usama Asif, Muhammad Faisal Javed
BIO Web of Conferences (2025) Vol. 151, pp. 04005-04005
Open Access
Salt tolerance evaluation and key salt-tolerant traits at germination stage of upland cotton
Mengjie An, Xin-hui Huang, Yilei Long, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings
Farzad Safi Jahanshahi, Ali Reza Ghanizadeh
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Comparative Study of Ensemble Learning Techniques and Mathematical Models for Rigorous Modeling of Solution Gas/Oil Ratio
Hossein Yavari, Jafar Qajar
SPE Journal (2025), pp. 1-26
Closed Access
Slope stability analysis of heavy-haul freight corridor using novel machine learning approach
Md Shayan Sabri, Furquan Ahmad, Pijush Samui
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 201-219
Closed Access | Times Cited: 15
Optimizing soil settlement/consolidation prediction in finland clays: machine learning regressions with bayesian hyperparameter selection
Ahmad Alkhdour, Mahmoud Al Khazaleh, Rakan Al Mnaseer, et al.
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3209-3225
Closed Access | Times Cited: 13
Hybridized random forest with population-based optimization for predicting shear properties of rock fractures
Jian Zhou, Zhenyu Wang, Chuanqi Li, et al.
Journal of Computational Science (2023) Vol. 72, pp. 102097-102097
Closed Access | Times Cited: 12
Predicting resilient modulus: A data driven approach integrating physical and numerical techniques
Kashif Riaz, Naveed Ahmad
Heliyon (2024) Vol. 10, Iss. 3, pp. e25339-e25339
Open Access | Times Cited: 4
Prediction of the Unconfined Compressive Strength of Salinized Frozen Soil Based on Machine Learning
Huiwei Zhao, Bing Hui
Buildings (2024) Vol. 14, Iss. 3, pp. 641-641
Open Access | Times Cited: 4
Utilizing DEM and interpretable ML algorithms to examine particle size distribution's role in small-strain shear modulus of gap-graded granular mixtures
Xingyang Liu, Jiaqi Yang, Degao Zou, et al.
Construction and Building Materials (2024) Vol. 428, pp. 136232-136232
Closed Access | Times Cited: 4
Modeling an artificial neural network to estimate cement consumption in clayey waste-cement mixtures based on curing temperature, mechanical strength, and resilient modulus
Liliana Carolina Hernández García, Julián Vidal Valencia, Henry A. Colorado
Construction and Building Materials (2025) Vol. 467, pp. 140376-140376
Open Access
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