LabCompass

Ying Zu

Physics and Astronomy · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2008Rising activity
Galaxies: Formation, Evolution, PhenomenaAstronomy and Astrophysical ResearchStellar, planetary, and galactic studiesAstrophysical Phenomena and ObservationsGamma-ray bursts and supernovae

Publications

102

Citations

6,633

Est. group size

~2

Recurring co-author estimate

Active years

19

Publishing since 2008

Research summary
AI-generated

Ying Zu works in astrophysics and cosmology, studying how galaxies and the large-scale structure of the universe form and evolve. Their work spans dark matter halo formation, galaxy clustering and lensing surveys (like DESI and CSST), and detailed observational studies of active galactic nuclei (supermassive black holes and their surrounding gas and dust, as in the AGN STORM 2 project on Mrk 817). Methods include machine learning, simulations, and large survey data analysis.

Large-scale structure and galaxy clusteringDark matter halo formation and assembly biasActive galactic nuclei (AGN) reverberation mappingGalaxy survey pipelines and instrumentation (DESI, CSST, JUST telescope)Machine learning applications in cosmology

Publication output has grown over the last decade, rising from about 5-8 papers per year in 2017-2021 to a peak of 15 in 2023, with continued high output in 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 8.0/year recently
2017: 6 publications172018: 7 publications182019: 5 publications192020: 3 publications202021: 6 publications212022: 8 publications222023: 15 publications15232024: 12 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • Monthly Notices of the Royal Astronomical Society×21
  • arXiv (Cornell University)×21
  • The Astrophysical Journal×12
  • VizieR Online Data Catalog×5
  • The Astronomical Journal×3
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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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