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Meng Zhang

16 papers hereh-index 00 citations0 works total

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

author position
  • first author6
  • middle author5
  • last author3

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA9
  • astro-ph.SR7
same name
  • Meng Zhang — 20 papers, h 12
  • Meng Zhang — 10 papers, h 0
  • Meng Zhang — 9 papers, h 14
  • Meng Zhang — 9 papers, h 6
  • Meng Zhang — 7 papers, h 3
  • Meng Zhang — 6 papers, h 4

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
20182026
most citedStellar mass distribution and star formation history of the Galactic disk revealed by mono-age stellar populations from LAMOST

60 citations · 233 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

astro-ph.SR2025

Spectroscopic ages for 4 million main-sequence dwarf stars from LAMOST DR10 estimated with data-driven approach

Jia-Hui Wang, Maosheng Xiang, Meng Zhang +5

Stellar age determination for large samples of stars opens new avenues for a broad range of astronomical sciences. While precise stellar ages for evolved stars have been derived fr…

astro-ph.SR2025★ 11 cited

Homogeneous Stellar Atmospheric Parameters and 22 Elemental Abundances for FGK Stars Derived From LAMOST Low-resolution Spectra with DD-Payne

Meng Zhang, Maosheng Xiang, Yuan-Sen Ting +11

A deep understanding of our Galaxy desires detailed decomposition of its stellar populations via their chemical fingerprints. This requires precise stellar abundances of many eleme…

astro-ph.SR2025

Metallicities of 20 Million Giant Stars Based on Gaia XP spectra

Lin Yang, Haibo Yuan, Bowen Huang +8

We design an uncertainty-aware cost-sensitive neural network (UA-CSNet) to estimate metallicities from dereddened and corrected Gaia BP/RP (XP) spectra for giant stars. This method…

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