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:

Application of Machine Learning Techniques for Predicting the Dynamic Response of Geogrid Reinforced Foundation Beds
Shivpreet Sharma, Hasthi Venkateswarlu, A. Hegde
Geotechnical and Geological Engineering (2019) Vol. 37, Iss. 6, pp. 4845-4864
Closed Access | Times Cited: 14

Showing 14 citing articles:

Earthquake Prediction Using Expert Systems: A Systematic Mapping Study
Rabia Tehseen, Muhammad Shoaib Farooq, Adnan Abid
Sustainability (2020) Vol. 12, Iss. 6, pp. 2420-2420
Open Access | Times Cited: 72

Experimental and intelligent modelling for predicting the amplitude of footing resting on geocell-reinforced soil bed under vibratory load
Hasthi Venkateswarlu, Muhammad Nouman Amjad Raja, A. Hegde, et al.
Transportation Geotechnics (2022) Vol. 35, pp. 100783-100783
Closed Access | Times Cited: 25

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: 20

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

Analysis of Bored Pile Subjected to Machine Vibration: an Insight into the Influence of the Soil-Pile Interface Coefficient
Saif Alzabeebee, Jitesh T. Chavda, Suraparb Keawsawasvong
Transportation Infrastructure Geotechnology (2022) Vol. 10, Iss. 5, pp. 871-887
Closed Access | Times Cited: 10

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

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

Performance of Genetic Programming and Multivariate Adaptive Regression Spline Models to Predict Vibration Response of Geocell Reinforced Soil Bed: A Comparative Study
Hasthi Venkateswarlu, Shivpreet Sharma, A. Hegde
International Journal of Geosynthetics and Ground Engineering (2021) Vol. 7, Iss. 3
Closed Access | Times Cited: 10

Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load
Ammu Boban, Preeti Pateriya, Yakshansh Kumar, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access

Large-scale experimental and ANN modeling for dynamic interaction between vibrating and statically loaded foundations on geogrid-reinforced soil beds
Gobinda Das, Priyanka Ghosh
Geotextiles and Geomembranes (2024) Vol. 52, Iss. 5, pp. 956-974
Closed Access

Multi-model Investigation on Dynamic Response of Machine Foundations Resting on Geogrid Reinforced Foundation Bed
Gobinda Das, Priyanka Ghosh
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 4
Closed Access

Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
Gobinda Das, Sreyashrao Surapreddi, Priyanka Ghosh
International Journal of Civil Engineering (2024) Vol. 22, Iss. 11, pp. 1977-1994
Closed Access

Earthquake prediction modeling using dynamic changes (Case Study: Alborz Region)
Taleb Sadeghian, Mohammad Nazemi Babadi
International journal of engineering. Transactions B: Applications (2021) Vol. 34, Iss. 2
Open Access | Times Cited: 3

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