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researcher

Yin Wu

4 papers hereh-index 14 citations4 works total

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

author position
  • first author1
  • middle author3

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

fields
  • astro-ph.GA3
  • astro-ph.SR1
same name
  • Yin Wu — 8 papers, h 3
  • Yin Wu — 6 papers, h 2
  • Yin Wu — 5 papers, h 1
  • Yin Wu — 2 papers, h 3
  • Yin Wu — 1 paper, h 0
  • Yin Wu — 1 paper, h 3

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

collaborators

4 papers

astro-ph.GA2026

Milky Way Dynamics Favor Dark Matter over Modified Gravity Models

Zheng-long Wang, Yue-Lin Sming Tsai, Lan Zhang +5

Modified gravity theories such as Modified Newtonian Dynamics (MOND) and Scalar-Tensor-Vector Gravity (STVG) have been proposed as alternatives to dark matter, but decisive tests h…

astro-ph.GA2025

Milky Way Mass Through Escape Velocity Curve from LAMOST K Giants

Yin Wu, Haining Li, Yang Huang +2

Escape velocity has long been used to constrain the mass of the Dark Matter (DM) halo in the Milky Way (MW). Here we present a study of the escape velocity curve using a sample of…

astro-ph.SR2025

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter

Qiqian Zhang, Zhou Fan, Gang Zhao +16

Reliable estimation of stellar surface gravity (log g) for a large sample is crucial for evaluating stellar evolution models and understanding galactic structure; However, it is…

astro-ph.GA2025

Main-sequence Turnoff Stars as Probes of the Ancient Galactic Relic: Chemo-dynamical Analysis of a Pilot Sample

Renjing Xie, Haining Li, Ruizhi Zhang +5

The main-sequence turnoff (MSTO) stars well preserve the chemical properties where they were born, making them ideal tracers for studying the stellar population. We perform a detai…

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