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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 and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Muhammad Nouman Amjad Raja, Syed Taseer Abbas Jaffar, Abidhan Bardhan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 3, pp. 773-788
Open Access | Times Cited: 43

Showing 1-25 of 43 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: 59
Dimensionality analysis in assessing the unconfined strength of lime-treated soil using machine learning approaches
Jitendra Khatti, Asma Muhmed, Kamaldeep Singh Grover
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 2
Estimation of Settlement of Pile Group in Clay Using Soft Computing Techniques
Jitendra Khatti, Hanan Samadi, Kamaldeep Singh Grover
Geotechnical and Geological Engineering (2023) Vol. 42, Iss. 3, pp. 1729-1760
Closed Access | Times Cited: 40
Smart prediction of liquefaction-induced lateral spreading
Muhammad Nouman Amjad Raja, Tarek Abdoun, Waleed El-Sekelly
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 6, pp. 2310-2325
Open Access | Times Cited: 34
Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis
Shijie Xie, Hang Lin, Tianxing Ma, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 15
Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations
Muhammad Nouman Amjad Raja, Tarek Abdoun, Waleed El-Sekelly
Buildings (2024) Vol. 14, Iss. 4, pp. 954-954
Open Access | Times Cited: 13
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 20
Application of ANN and FELA for Predicting Bearing Capacity of Shell Foundations on Sand
Van Qui Lai, Wittaya Jitchaijaroen, Suraparb Keawsawasvong, et al.
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 2
Closed Access | Times Cited: 18
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: 17
Data-driven intelligent modeling of unconfined compressive strength of heavy metal-contaminated soil
Syed Taseer Abbas Jaffar, Xiangsheng Chen, Xiaohua Bao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 7
Evaluation of Multiple Linear Regression and Machine Learning Approaches to Predict Soil Compaction and Shear Stress Based on Electrical Parameters
Katarzyna Pentoś, Jasper Tembeck Mbah, Krzysztof Pieczarka, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8791-8791
Open Access | Times Cited: 27
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
Modeling the Mechanical Response of Cement-Admixed Clay Under Different Stress Paths Using Recurrent Neural Networks
Chana Phutthananon, Praiya Ratanakijkul, Sompote Youwai, et al.
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 6
A novel approach for assessment of seismic induced liquefaction susceptibility of soil
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, et al.
Journal of Earth System Science (2024) Vol. 133, Iss. 3
Closed Access | Times Cited: 5
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 12
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
A study on waste PCB fibres reinforced concrete with and without silica fume made from electronic waste
M. Vishnu Priyan, R. Annadurai, George Uwadiegwu Alaneme, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Leading-edge Artificial Intelligence (AI) and Internet of Things (IoT) technologies for enhanced geotechnical site characterization
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 10
Performance assessment of a foundation resting on reinforced collapsible Sabkha soil by deep soil mixing columns using machine learning analyses
Mohamed B. D. Elsawy, Abderrahim Lakhouit, Turki S. Alhmari, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 591-605
Closed Access
Estimation of soil liquefaction using artificial intelligence techniques: an extended comparison between machine and deep learning approaches
Eyyüp Hakan Şehmusoğlu, Талас Фикрет Курназ, Caner Erden
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Open Access
Shear strength parameters prediction of rock materials using hybrid machine learning model
Yanhui Cheng, Dongliang He, Hongwei Liu, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-24
Closed Access
Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms
Jiahao Chen, Jiaxin Li, Deqian Zheng, et al.
Food Science & Nutrition (2025) Vol. 13, Iss. 4
Open Access
Bearing capacity prediction of the concrete pile using tunned ANFIS system
Wei Gu, Jifei Liao, Siyuan Cheng
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 3
Mechanical characteristics of waste-printed circuit board-reinforced concrete with silica fume and prediction modelling using ANN
Vishnupriyan Marimuthu, Annadurai Ramasamy
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 19, pp. 28474-28493
Closed Access | Times Cited: 3
Ground settlement prediction for highway subgrades with sparse data using regression Kriging
Lei Huang, Wei Qin, Guoliang Dai, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
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