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Cited article:

Stellar atmospheric parameters and chemical abundances of ~5 million stars from S-PLUS multiband photometry

C. E. Ferreira Lopes, L. A. Gutiérrez-Soto, V. S. Ferreira Alberice, N. Monsalves, D. Hazarika, M. Catelan, V. M. Placco, G. Limberg, F. Almeida-Fernandes, H. D. Perottoni

A&A, 693 (2025) A306

Published online: 2025-01-28

DOI: https://doi.org/10.1051/0004-6361/202451491

This article has been cited by the following article(s):

An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 Data

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The Astronomical Journal 169 (6) 332 (2025)
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A neural network approach to determining photometric metallicities of M-type dwarf stars

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Astronomy & Astrophysics 698 L12 (2025)
https://doi.org/10.1051/0004-6361/202554722