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:

Novel application of machine learning for estimation of pullout coefficient of geogrid
Aali Pant, G. V. Ramana
Geosynthetics International (2021) Vol. 29, Iss. 4, pp. 342-355
Closed Access | Times Cited: 12

Showing 12 citing articles:

Prediction of pullout interaction coefficient of geogrids by extreme gradient boosting model
Aali Pant, G. V. Ramana
Geotextiles and Geomembranes (2022) Vol. 50, Iss. 6, pp. 1188-1198
Closed Access | Times Cited: 22

Novel soil-pegged geogrid (PG) interactions in pull-out loading conditions
Mahmood Reza Abdi, Hamed Mirzaeifar, Yousof Asgardun
Geotextiles and Geomembranes (2022) Vol. 50, Iss. 4, pp. 764-778
Closed Access | Times Cited: 18

A Scientometric Study of LCA-Based Industrialization and Commercialization of Geosynthetics in Infrastructures
Carlo Giglio, Gianluca Salvatore Vocaturo, Roberto Palmieri
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2328-2328
Open Access | Times Cited: 7

Harnessing Nature-Inspired Soft Computing for Reinforced Soil Bearing Capacity Prediction: A Neuro-nomograph Approach for Efficient Design
Maher Omar, Emran Alotaibi, Mohamed G. Arab, et al.
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 4
Closed Access | Times Cited: 7

A comparison between geomembrane-sand tests and machine learning predictions
Addisu Tanga, Gregório Luís Silva Araújo, F. Evangelista
Geosynthetics International (2024), pp. 1-14
Closed Access | Times Cited: 2

Cyclic response of stereoscopic geogrid–sand interface under static and cyclic loading
Wenyan Zeng, F. Y. Liu, Minju Ying
Geosynthetics International (2023) Vol. 31, Iss. 5, pp. 541-554
Closed Access | Times Cited: 6

Analytical solution for calculation of pull out force-deformation of geosynthetics reinforcing unsaturated soils
Mahmoud Ghazavi, Omid Bavandpouri
Geotextiles and Geomembranes (2021) Vol. 50, Iss. 2, pp. 357-369
Closed Access | Times Cited: 14

Machine-learning modelling of tensile force in anchored geomembrane liners
K. V. N. S. Raviteja, K. V. B. S. Kavya, Rajiv Senapati, et al.
Geosynthetics International (2023) Vol. 31, Iss. 4, pp. 398-414
Closed Access | Times Cited: 4

A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils
Tabish Ali, Waseem Haider, Nazakat Ali, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8699-8699
Open Access | Times Cited: 4

Impact of Peg Geometry and Location on Pullout Forces in Granular Soils
Mahmood Reza Abdi, Yousof Asgardun
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access

Machine learning for soil-geosynthetic interface shear strength analysis
T.T. Abenezer, Gregório Luís Silva Araújo, F. Evangelista, et al.
CRC Press eBooks (2023), pp. 705-710
Open Access

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