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 Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression
Mahmood Ahmad, Maaz Amjad, Ramez A. Al-Mansob, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1977-1977
Open Access | Times Cited: 17

Showing 17 citing articles:

Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 63

Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
Gamil M. S. Abdullah, Mahmood Ahmad, Muhammad Babur, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16

Soil liquefaction in seismic events: pioneering predictive models using machine learning and advanced regression techniques
Pouyan Abbasimaedeh
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 7

Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression
Mahmood Ahmad, Suraparb Keawsawasvong, Mohd Rasdan Ibrahim, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8781-8781
Open Access | Times Cited: 24

Predicting California bearing ratio of HARHA-treated expansive soils using Gaussian process regression
Mahmood Ahmad, Mohammad Al-Zubi, Ewa Kubińska-Jabcoń, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials
Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 14

Development a risk assessment method for dimensional stone quarries
Mojtaba Yari, Saeed Jamali, Gamil M. S. Abdullah, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

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

Gene Expression Programming for Estimating Shear Strength of RC Squat Wall
Moiz Tariq, Azam Khan, Asad Ullah, et al.
Buildings (2022) Vol. 12, Iss. 7, pp. 918-918
Open Access | Times Cited: 8

Machine learning model for building seismic peak roof drift ratio assessment
Federico Mori, Daniele Spina, Flavio Bocchi, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Regional prediction and prevention analysis of rockburst hazard based on the Gaussian process for binary classification
Tianwei Lan, Zhijia Zhang, Jiawei Sun, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 5

Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles
Mohammad Al-Zubi, Mahmood Ahmad, Shahriar Abdullah, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Reliability analysis of submarine slopes in hydrate extraction by depressurization-assisted replacement
Jitao Xu, Haitao Zhu, Mingjing Jiang, et al.
Marine Georesources and Geotechnology (2024), pp. 1-13
Closed Access

Special Issue on Natural Hazards Risk Assessment for Disaster Mitigation
Željana Nikolić, Elena Benvenuti, Andrea Chiozzi
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1940-1940
Open Access

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