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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:

Why “AI” models for predicting soil liquefaction have been ignored, plus some that shouldn’t be
Brett W. Maurer, Morgan Sanger
Earthquake Spectra (2023) Vol. 39, Iss. 3, pp. 1883-1910
Closed Access | Times Cited: 10

Showing 10 citing articles:

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
Machine learning-based models for estimating liquefaction-induced building settlements
Chenying Liu, Jorge Macedo
Soil Dynamics and Earthquake Engineering (2024) Vol. 182, pp. 108673-108673
Closed Access | Times Cited: 4
Stress-Based CPTu Cyclic Liquefaction Triggering Procedures: Improvements from a State Parameter Approach
Vincent Martin, Gonzalo Montalva, Fernando Schnaid
Journal of Geotechnical and Geoenvironmental Engineering (2025) Vol. 151, Iss. 4
Closed Access
Leveraging physics-informed neural networks in geotechnical earthquake engineering: An assessment on seismic site response analyses
Chenying Liu, Jorge Macedo, Alexander Sánchez-Rodríguez
Computers and Geotechnics (2025) Vol. 182, pp. 107137-107137
Closed Access
A Transparent and Valid Framework for Rockburst Assessment: Unifying Interpretable Machine Learning and Conformal Prediction
Bemah Ibrahim, Abigail Tetteh-Asare, Isaac Ahenkorah
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 6211-6225
Closed Access | Times Cited: 3
AN INTERPRETABLE MACHINE LEARNING APPROACH IN UNDERSTANDING LATERAL SPREADING CASE HISTORIES
Emerzon S. Torres
International Journal of Geomate (2024) Vol. 26, Iss. 116
Open Access | Times Cited: 1
AutoHVSR: A machine-learning-supported algorithm for the fully-automated processing of horizontal-to-vertical spectral ratio measurements
Joseph P. Vantassel, Andrew Stolte, Liam Wotherspoon, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 173, pp. 108153-108153
Open Access | Times Cited: 2
Prediction of Soil Liquefaction Triggering Using Rule-Based Interpretable Machine Learning
Emerzon S. Torres, Jonathan R. Dungca
Geosciences (2024) Vol. 14, Iss. 6, pp. 156-156
Open Access
Sharing data and code facilitates reproducible and impactful research
Jack W. Baker, Helen Crowley, David J. Wald, et al.
Earthquake Spectra (2024) Vol. 40, Iss. 3, pp. 2210-2218
Closed Access
Weighing the Influence of Geological and Geotechnical Factors in Soil Liquefaction Assessments
J. P. Wang, Chung-Chun Teng, Chia-Ying Sung, et al.
Natural Hazards Review (2024) Vol. 25, Iss. 4
Closed Access
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