LabCompass

Yuxi Lu

Physics and Astronomy · The Ohio State University

Established · publishing since 1995Rising activity

Publications

117

Citations

724

Est. group size

~1

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Yuxi Lu's research focuses on the ages, motions, and chemical compositions of stars in the Milky Way and nearby galaxies, using large surveys (such as TESS, SDSS-V, Gaia, and APOGEE) and computational methods including machine learning. Work in this record covers topics like stellar rotation and age-dating, exoplanet occurrence and radius trends with stellar age, radial migration of stars in the galactic disk, and chemical patterns in the Milky Way and the Magellanic Clouds. This body of work sits within stellar and galactic astrophysics, combining large observational datasets with statistical and data-driven modeling techniques.

Stellar ages and rotation periodsGalactic dynamics and radial migrationChemical composition of stars and galaxiesExoplanet demographics and host-star propertiesData-driven and machine-learning methods in astronomy

Publication output has grown substantially over the last decade, rising from single digits per year before 2022 to over 20 publications annually in 2024 and 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 16.4/year recently
2017: 8 publications172018: 1 publication182019: 9 publications192020: 9 publications202021: 3 publications212022: 11 publications222023: 13 publications232024: 24 publications242025: 27 publications27252026: 7 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×21
  • The Astronomical Journal×13
  • The Astrophysical Journal×13
  • Zenodo (CERN European Organization for Nuclear Research)×13
  • Monthly Notices of the Royal Astronomical Society×9
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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