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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:

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

Showing 9 citing articles:

Applications of Dynamic Cone Penetration Test for Estimating Liquefaction Susceptibility Using Machine Learning Paradigms
Shubhendu Vikram Singh, Sufyan Ghani
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access
Revealing the nature of soil liquefaction using machine learning
Sufyan Ghani, Ishwor Thapa, Amrendra Kumar, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
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
Machine intelligence models for predicting compressive strength of concrete incorporating fly ash and blast furnace slag
Abba Bashir, Megha Gupta, Sufyan Ghani
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
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
Kernel-based machine learning model for liquefaction probability prediction and its application to the seismically active indo-gangetic plain
Sufyan Ghani
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems
Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9925-9925
Open Access | Times Cited: 4
A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure
Shubhendu Vikram Singh, Sufyan Ghani
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 3
Probabilistic Study of Liquefaction Response of Soil Based on Standard Penetration Test (SPT) Data Using Machine Learning Techniques
Rashid Mustafa, Md Talib Ahmad
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access
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