Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Seismic Effect on Liquefaction Behavior of Fine-Grained Soils Using Artificial Intelligence-Based Hybridized Modeling
Sufyan Ghani, Sunita Kumari, Shamsad Ahmad
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 4, pp. 5411-5441
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP
Kaushik Jas, G. R. Dodagoudar
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107662-107662
Closed Access | Times Cited: 77
Evaluation and analysis of liquefaction potential of gravelly soils using explainable probabilistic machine learning model
Kaushik Jas, Sujith Mangalathu, G. R. Dodagoudar
Computers and Geotechnics (2024) Vol. 167, pp. 106051-106051
Closed Access | Times Cited: 19
Deep Learning and Genetic Programming-Based Soft-Computing Prediction Models for Metakaolin Mortar
Manish Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
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
Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression programming
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 2, pp. 199-222
Closed Access | Times Cited: 31
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 27
Prediction of soil liquefaction for railway embankment resting on fine soil deposits using enhanced machine learning techniques
Sufyan Ghani, Amrendra Kumar
Journal of Earth System Science (2023) Vol. 132, Iss. 3
Closed Access | Times Cited: 24
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Талас Фикрет Курназ, Caner Erden, Abdullah Hulusi Kökçam, et al.
Engineering Geology (2023) Vol. 319, pp. 107109-107109
Closed Access | Times Cited: 23
Applications of bentonite in plastic concrete: a comprehensive study on enhancing workability and predicting compressive strength using hybridized AI models
Ishwor Thapa, Nishant Kumar, Sufyan Ghani, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3113-3128
Closed Access | Times Cited: 14
Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
Ishwor Thapa, Sufyan Ghani
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5079-5102
Closed Access | Times Cited: 10
Applying Optimized Machine Learning Models for Predicting Unconfined Compressive Strength in Fine-Grained Soil
Ishwor Thapa, Sufyan Ghani
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2235-2269
Closed Access | Times Cited: 9
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil
Sufyan Ghani, Sunita Kumari
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-24
Closed Access | Times Cited: 9
Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms
Ishwor Thapa, Sufyan Ghani
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 2, pp. 1119-1144
Closed Access | Times Cited: 21
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
Reliability Analysis of Pile Foundation in Cohesionless Soil Using Machine Learning Techniques
Rashid Mustafa, Md Talib Ahmad
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2671-2699
Closed Access | Times Cited: 6
Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches
Jitendra Khatti, Yewuhalashet Fissha, Kamaldeep Singh Grover, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3841-3864
Closed Access | Times Cited: 5
Comparative and parametric study of AI-based models for risk assessment against soil liquefaction for high-intensity earthquakes
Sufyan Ghani, Sunita Kumari, Sagar Jaiswal, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 14
Closed Access | Times Cited: 23
Geocell Mattress Reinforcement for Bottom Ash: A Comprehensive Study of Load-Settlement Characteristics
Sufyan Ghani, Sunita Kumari, Anil Kumar Choudhary
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 48, Iss. 2, pp. 727-743
Closed Access | Times Cited: 13
Advancing earth science in geotechnical engineering: A data-driven soft computing technique for unconfined compressive strength prediction in soft soil
Ishwor Thapa, Sufyan Ghani
Journal of Earth System Science (2024) Vol. 133, Iss. 3
Closed Access | Times Cited: 4
Enhancing seismic risk assessment through probabilistic analysis of liquefaction potential index: a computational intelligence approach
Sufyan Ghani, Amrendra Kumar, Anil Kumar Choudhary
Geomechanics and Geoengineering (2025), pp. 1-23
Closed Access
Utilization of Generative Artificial Intelligence in Geotechnical and Geoenvironmental Engineering
Krishna R. Reddy, Jagadeesh Kumar Janga
Lecture notes in civil engineering (2025), pp. 241-267
Closed Access
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards
Ishwor Thapa, Sufyan Ghani, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Open 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
Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review
Shan Lin, Zenglong Liang, Hongwei Guo, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Enhancing mechanical properties of low plasticity soil through coal and silica fume stabilization
Muhammad Waleed, Fahad Alshawmar
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top