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researcher

Jian Gao

25 papers hereh-index 13484 citations33 works total

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

author position
  • first author5
  • middle author17
  • last author2

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA12
  • astro-ph.SR10
  • astro-ph1
  • astro-ph.HE1
  • astro-ph.IM1
same name
  • Jian Gao — 15 papers, h 13
  • Jian Gao — 12 papers, h 10
  • Jian Gao — 12 papers, h 20
  • Jian Gao — 10 papers, h 4
  • Jian Gao — 9 papers, h 4
  • Jian Gao — 5 papers, 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

activity
20082026
most citedA Precise Determination of the Mid-Infrared Interstellar Extinction Law Based on the APOGEE Spectroscopic Survey

100 citations · 680 across the 25 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

astro-ph.GA2023★ 7 cited

Astrometric mass measurement of compact companions in binary systems with Gaia

Yilun Wang, Shilong Liao, Nicola Giacobbo +3

For binary systems with an unseen primary and a luminous secondary, the astrometric wobble of the secondary could be used to study the primary. With Gaia, it is possible to measure…

astro-ph.SR2023★ 59 cited

Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud

Ming Yang, Alceste Z. Bonanos, Biwei Jiang +17

We assemble the most complete and clean red supergiant (RSG) sample (2,121 targets) so far in the Small Magellanic Cloud (SMC) with 53 different bands of data to study the MLR of R…

astro-ph.IM2023

An Improved Pair Method to Probe the Dust Extinction Law

Yuxi Wang, Jian Gao, Yi Ren +1

Dust extinction law is crucial to recover the intrinsic energy distribution of celestial objects and infer the characteristics of interstellar dust. Based on the traditional pair m…

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