182 citations · 182 across the 2 of their papers we have counts for
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astro-ph.HE2020
Efficient Fermi Source Identification with Machine Learning Methods
Hubing Xiao, Haitao Cao, Junhui Fan +3
In this work, Machine Learning (ML) methods are used to efficiently identify the unassociated sources and the Blazar Candidate of Uncertain types (BCUs) in the Fermi-LAT Third Sour…
astro-ph.HE2016★ 182 cited
The Spectral Energy Distributions of Fermi Blazars
J. H. Fan, J. H. Yang, Y. Liu +7
(Abridged) In this paper, multi-wavelength data are compiled for a sample of 1425 Fermi blazars to calculate their spectral energy distributions (SEDs). A parabolic function, $\log…