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20152022
most citedExploring open cluster properties with Gaia and LAMOST

60 citations · 298 across the 7 of their papers we have counts for

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6 papers · 1 filter

astro-ph.GA202249 cited

New Open Cluster candidates Found in Galactic Disk Using Gaia DR2/EDR3 Data

Zhihong He, Chunyan Li, Jing Zhong +6

We report 541 new open cluster candidates in Gaia EDR3 through revisiting the cluster results from an earlier analysis of the Gaia DR2, which revealed nearly a thousand open cluste…

astro-ph.GA202050 cited

Modelling unresolved binaries of open clusters in color-magnitude diagram. I. method and application of NGC3532

Lu Li, Zhengyi Shao, Zhao-Zhou Li +3

The binary properties of open clusters place crucial constraints on star formation theory and clusters' dynamical evolution. We develop a comprehensive approach that models the col…

astro-ph.GA202060 cited

Exploring open cluster properties with Gaia and LAMOST

Jing Zhong, Li Chen, Di Wu +3

In Gaia DR2, the unprecedented high-precision level reached in sub-mas for astrometry and mmag for photometry. Using cluster members identified with these astrometry and photometry…

astro-ph.GA201952 cited

The substructure and halo population of the Double Cluster and Persei

Jing Zhong, Li Chen, M. B. N. Kouwenhoven +3

In order to study the stellar population and possible substructures in the outskirts of Double Cluster and Persei, we investigate using the GAIA DR2 data a sky area of abou…

astro-ph.GA2016

Selecting M-giants with infra-red photometry: Distances, metallicities and the Sagittarius stream

Jing Li, Martin C. Smith, Jing Zhong +9

Using a spectroscopically confirmed sample of M-giants, M-dwarfs and quasars from the LAMOST survey, we assess how well WISE 2MASS color-cuts can be used to select M-giant sta…

astro-ph.GA201542 cited

Estimation of distances to stars with stellar parameters from LAMOST

Jeffrey L. Carlin, Chao Liu, Heidi Jo Newberg +15

We present a method to estimate distances to stars with spectroscopically derived stellar parameters. The technique is a Bayesian approach with likelihood estimated via comparison…