862 citations · 5.7k across the 135 of their papers we have counts for
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astro-ph.GA2022★ 27 cited
The stellar parameters and elemental abundances from low-resolution spectra I: 1.2 million giants from LAMOST DR8
Zhuohan Li, Gang Zhao, Yuqin Chen +2
As a typical data-driven method, deep learning becomes a natural choice for analysing astronomical data nowadays. In this study, we built a deep convolutional neural network to est…
astro-ph.SR2022★ 29 cited
Four-hundred Very Metal-poor Stars studied with LAMOST and Subaru. I. Survey Design, Follow-up Program, and Binary Frequency
Wako Aoki, Haining Li, Tadafumi Matsuno +11
The chemical abundances of very metal-poor stars provide important constraints on the nucleosynthesis of the first generation of stars and early chemical evolution of the Galaxy. W…