24 citations · 49 across the 6 of their papers we have counts for
6 papers
Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791
Huanbin Chi, Zhi Li, Feng Wang +4
We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for d…
A robust method for identifying Be stars in the LAMOST Data Release 11 based on Deep-learning approach
Lei Tan, Hui Deng, Ying Mei +4
Be stars are rapidly rotating B-type stars that exhibit Balmer emission lines in their optical spectra. These stars play an important role in studies of stellar evolution and disk…
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning
Yuquan Zhang, Zhong Cao, Feng Wang +5
The Chinese Space Station Telescope (abbreviated as CSST) is a future advanced space telescope. Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) imag…
Blind Search of The Solar Neighborhood Galactic Disk within 5kpc: 1,179 new Star clusters found in Gaia DR3
Huanbin Chi, Feng Wang, Wenting Wang +2
Studying open clusters (OCs) is essential for a comprehensive understanding of the structure and evolution of the Milky Way. Many previous studies have systematically searched for…
LISC Catalog of Open Clusters.III. 83 Newly found Galactic disk open clusters using Gaia EDR3
Huanbin Chi, Feng Wang, Zhongmu Li
As groups of coeval stars born from the same molecular cloud, an Open cluster (OC) is an ideal laboratory for studying the structure and dynamical evolution of the Milky Way. The r…
Identify 46 New Open Clusters Candidates In Gaia EDR3 Using pyUPMASK and Random Forest Hybrid Method
Huanbin Chi, Shoulin Wei, Feng Wang +1
Open clusters (OCs) are regarded as tracers to understand stellar evolution theory and validate stellar models. In this study, we presented a robust approach to identifying OCs. A…