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Shuang Gao

15 papers hereh-index 13391 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author10
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA5
  • astro-ph.SR5
  • astro-ph.IM4
  • astro-ph.HE1
same name
  • Shuang Gao — 10 papers, h 9
  • Shuang Gao — 6 papers, h 4
  • Shuang Gao — 5 papers, h 3
  • Shuang Gao — 2 papers, h 2
  • Shuang Gao — 2 papers, h 1
  • Shuang Gao — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102018
most citedThe K giant stars from the LAMOST survey data I: identification, metallicity, and distance

92 citations · 490 across the 15 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

astro-ph.GA2014★ 13 cited

The velocity distribution in the solar neighbourhood from the LAMOST pilot survey

Qiran Xia, Chao Liu, Yan Xu +5

We use about 15,000 F/G nearby dwarf stars selected from the LAMOST pilot survey to map the U-V velocity distribution in the solar neighbourhood. An extreme deconvolution algorithm…

astro-ph.GA2014★ 67 cited

The binarity of Milky Way F,G,K stars as a function of effective temperature and metallicity

Shuang Gao, Chao Liu, Xiaobin Zhang +3

We estimate the fraction of F,G,K stars with close binary companions by analysing multi-epoch stellar spectra from SDSS and LAMOST for radial velocity (RV) variations. We employ a…

astro-ph.GA2014★ 92 cited

The K giant stars from the LAMOST survey data I: identification, metallicity, and distance

Chao Liu, Li-Cai Deng, Jeffrey L. Carlin +10

We present a support vector machine classifier to identify the K giant stars from the LAMOST survey directly using their spectral line features. The completeness of the identificat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.