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researcher

Jiahui Wang

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA2
  • astro-ph.SR1
ORCID 0009-0009-3372-5271
same name
  • Jiahui Wang — 5 papers
  • Jiahui Wang — 5 papers
  • Jiahui Wang — 3 papers
  • Jiahui Wang — 3 papers
  • Jiahui Wang — 2 papers, h 13
  • Jiahui Wang — 2 papers

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

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

11 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.GA2025

Intergalactic Wandering Stars in the Local Universe: Theoretical Predictions for Their Distance and Luminosity Distribution

Jia-Hui Wang, Maosheng Xiang, Ji-Feng Liu

Intergalactic wandering stars (IWSs) within 10 Mpc remain a poorly explored area of astronomy. Such stars, if they exist, are supposed to be wandering objects as they are not bound…

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.GA2024★ 1 cited

Determining Stellar Elemental Abundances from DESI Spectra with the Data-Driven Payne

Meng Zhang, Maosheng Xiang, Yuan-Sen Ting +8

Stellar abundances for a large number of stars are key information for the study of Galactic formation history. Large spectroscopic surveys such as DESI and LAMOST take median-to-l…

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