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Jinliang Wang

4 papers hereh-index 222 citations4 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR4
same name
  • JinLiang Wang — 4 papers, h 3
  • Jinliang Wang — 1 paper, h 3
  • Jinliang Wang — 1 paper, h 2
  • Jinliang Wang — 1 paper

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
20222026
most citedThe statistical properties of early-type stars from LAMOST DR8

22 citations · 22 across the 4 of their papers we have counts for

collaborators

4 papers

astro-ph.SR2026

A Catalog of 45,206 Hα Emission-line Stars from LAMOST MRS DR7

Lihuan Yu, Jiangdan Li, Jinliang Wang +2

Stars that exhibit prominent emission lines in their spectra are referred to as emission-line stars, encompassing a wide range of stellar types and indicative of intriguing physica…

astro-ph.SR2025

Identify main-sequence binaries from the Chinese Space Station Telescope Survey with machine learning

Jia-jia Li, Jin-liang Wang, Kai-fan Ji +4

The statistical properties of double main sequence (MS) binaries are very important for binary evolution and binary population synthesis. To obtain these properties, we need to ide…

astro-ph.SR2024

Derivative Spectroscopy and its Application at Detecting the Weak Emission/Absorption Lines

Lihuan Yu, Jiangdan Li, Jinliang Wang +4

The development of spectroscopic survey telescopes like Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), Apache Point Observatory Galactic Evolution Experiment a…

astro-ph.SR2022★ 22 cited

The statistical properties of early-type stars from LAMOST DR8

Yanjun Guo, Chao Liu, Luqian Wang +5

Massive binary stars play a crucial role in many astrophysical fields. Investigating the statistical properties of massive binary stars is essential to trace the formation of massi…

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