
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:
Machine Learning Applied to the Oxygen-18 Isotopic Composition, Salinity and Temperature/Potential Temperature in the Mediterranean Sea
Gonzalo Astray, B. Soto, Enrique Barreiro, et al.
Mathematics (2021) Vol. 9, Iss. 19, pp. 2523-2523
Open Access | Times Cited: 7
Gonzalo Astray, B. Soto, Enrique Barreiro, et al.
Mathematics (2021) Vol. 9, Iss. 19, pp. 2523-2523
Open Access | Times Cited: 7
Showing 7 citing articles:
A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications
Yuyang He, You Zhou, Tao Wen, et al.
Applied Geochemistry (2022) Vol. 140, pp. 105273-105273
Open Access | Times Cited: 54
Yuyang He, You Zhou, Tao Wen, et al.
Applied Geochemistry (2022) Vol. 140, pp. 105273-105273
Open Access | Times Cited: 54
EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS
Andrea V. Perez-Sanchez, Martin Valtierra‐Rodriguez, Carlos A. Perez-Ramirez, et al.
Fractals (2022) Vol. 30, Iss. 07
Closed Access | Times Cited: 12
Andrea V. Perez-Sanchez, Martin Valtierra‐Rodriguez, Carlos A. Perez-Ramirez, et al.
Fractals (2022) Vol. 30, Iss. 07
Closed Access | Times Cited: 12
Global Solar Irradiation Modelling and Prediction Using Machine Learning Models for Their Potential Use in Renewable Energy Applications
David Puga-Gil, Gonzalo Astray, Enrique Barreiro, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4746-4746
Open Access | Times Cited: 9
David Puga-Gil, Gonzalo Astray, Enrique Barreiro, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4746-4746
Open Access | Times Cited: 9
Application of Machine Learning Model for the Prediction of Settling Velocity of Fine Sediments
Wing Son Loh, Ren Jie Chin, Lloyd Ling, et al.
Mathematics (2021) Vol. 9, Iss. 23, pp. 3141-3141
Open Access | Times Cited: 8
Wing Son Loh, Ren Jie Chin, Lloyd Ling, et al.
Mathematics (2021) Vol. 9, Iss. 23, pp. 3141-3141
Open Access | Times Cited: 8
Arctic climate-Indian monsoon teleconnection during the last millennium revealed through geochemical proxies from an Arctic fjord
Vikash Kumar, Manish Tiwari, Dmitry Divine, et al.
Global and Planetary Change (2023) Vol. 222, pp. 104075-104075
Closed Access | Times Cited: 3
Vikash Kumar, Manish Tiwari, Dmitry Divine, et al.
Global and Planetary Change (2023) Vol. 222, pp. 104075-104075
Closed Access | Times Cited: 3
Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures
Koppula Srinivas Rao, Vineet Tirth, Hamad Almujibah, et al.
Water Science & Technology (2023) Vol. 87, Iss. 11, pp. 2793-2805
Open Access | Times Cited: 1
Koppula Srinivas Rao, Vineet Tirth, Hamad Almujibah, et al.
Water Science & Technology (2023) Vol. 87, Iss. 11, pp. 2793-2805
Open Access | Times Cited: 1
Oxygen-18 prediction using machine learning in the Baltic Artesian Basin groundwater
Vytautas Samalavičius, Sonata Gadeikytė, Gintaras Žaržojus, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Vytautas Samalavičius, Sonata Gadeikytė, Gintaras Žaržojus, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access