LabCompass

Kaili Cao

Physics and Astronomy · The Ohio State University

OpenAlex ORCID
Early career · publishing since 2020Rising activity
Astronomy and Astrophysical ResearchGalaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesGamma-ray bursts and supernovaeAdaptive optics and wavefront sensing

Publications

32

Citations

187

Est. group size

—

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Kaili Cao's research centers on astronomical image processing and computational methods used for large astronomical surveys, including work on the Nancy Grace Roman Space Telescope's cosmology programs and image coaddition (combining multiple images into one) techniques. Earlier work involved simulating galaxy clusters to study how mass and structure are measured from X-ray observations. The publication record also includes software releases and code repositories supporting these survey pipelines.

Astronomical image processing and coadditionSurvey cosmology (Roman Space Telescope)Galaxy cluster simulations and mass measurement biasNumerical methods and spline-based algorithmsResearch software development

Publication output was minimal or absent from 2017-2019 and 2022-2023, but has grown sharply since 2024, with 8-10 outputs per year in 2024-2026, including many software releases.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
1718192020: 2 publications202021: 2 publications2122232024: 8 publications242025: 10 publications10252026: 10 publications1026
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • Monthly Notices of the Royal Astronomical Society×5
  • Open MIND×4
  • The Astrophysical Journal×3
  • The Astrophysical Journal Supplement Series×2
Similar researchers
By research-topic overlap

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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