
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:
Operational solar flare forecasting via video-based deep learning
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, et al.
Frontiers in Astronomy and Space Sciences (2023) Vol. 9
Open Access | Times Cited: 9
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, et al.
Frontiers in Astronomy and Space Sciences (2023) Vol. 9
Open Access | Times Cited: 9
Showing 9 citing articles:
Prediction of solar energetic events impacting space weather conditions
Manolis K. Georgoulis, Stephanie L. Yardley, Jordan A. Guerra, et al.
Advances in Space Research (2024)
Open Access | Times Cited: 11
Manolis K. Georgoulis, Stephanie L. Yardley, Jordan A. Guerra, et al.
Advances in Space Research (2024)
Open Access | Times Cited: 11
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
Edoardo Legnaro, Sabrina Guastavino, Michele Piana, et al.
The Astrophysical Journal (2025) Vol. 981, Iss. 2, pp. 157-157
Open Access
Edoardo Legnaro, Sabrina Guastavino, Michele Piana, et al.
The Astrophysical Journal (2025) Vol. 981, Iss. 2, pp. 157-157
Open Access
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, et al.
The Astrophysical Journal (2024) Vol. 971, Iss. 1, pp. 94-94
Open Access | Times Cited: 2
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, et al.
The Astrophysical Journal (2024) Vol. 971, Iss. 1, pp. 94-94
Open Access | Times Cited: 2
Deep neural networks of solar flare forecasting for complex active regions
Ming Li, Yanmei Cui, Bingxian Luo, et al.
Frontiers in Astronomy and Space Sciences (2023) Vol. 10
Open Access | Times Cited: 7
Ming Li, Yanmei Cui, Bingxian Luo, et al.
Frontiers in Astronomy and Space Sciences (2023) Vol. 10
Open Access | Times Cited: 7
Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times
Sabrina Guastavino, Valentina Candiani, А. Бемпорад, et al.
The Astrophysical Journal (2023) Vol. 954, Iss. 2, pp. 151-151
Open Access | Times Cited: 7
Sabrina Guastavino, Valentina Candiani, А. Бемпорад, et al.
The Astrophysical Journal (2023) Vol. 954, Iss. 2, pp. 151-151
Open Access | Times Cited: 7
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, et al.
Astronomy and Astrophysics (2024) Vol. 686, pp. A285-A285
Open Access
Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, et al.
Astronomy and Astrophysics (2024) Vol. 686, pp. A285-A285
Open Access
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, et al.
Optimization Letters (2024)
Open Access
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, et al.
Optimization Letters (2024)
Open Access
Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities
Yang Chen, W. B. Manchester, Meng Jin, et al.
Statistics and data science in imaging. (2024) Vol. 1, Iss. 1
Open Access
Yang Chen, W. B. Manchester, Meng Jin, et al.
Statistics and data science in imaging. (2024) Vol. 1, Iss. 1
Open Access
Modelling Solar Images from Sdo/Aia with Denoising Diffusion Probabilistic Models
Francesco Pio Ramunno
(2023)
Closed Access
Francesco Pio Ramunno
(2023)
Closed Access