LabCompass

H. Lien

Physics and Astronomy · Indiana University

Early career · publishing since 2022Rising activity

Publications

308

Citations

1,926

Est. group size

Recurring co-author estimate

Active years

5

Publishing since 2022

Research summary
AI-generated

H. Lien's work is associated with physics and astronomy, specifically the study of particle physics, which explores the fundamental building blocks of matter and the forces between them. The available records point to interests spanning high-energy particle collisions, particle detector technology, and topics such as quantum chromodynamics (the theory of the strong nuclear force) and dark matter. Note that the underlying bibliographic data provided here is very limited, so this profile is only a broad indication of research area.

Particle physics (theory and experiment)High-energy particle collisionsParticle detector developmentQuantum chromodynamics and particle interactionsDark matter and cosmic phenomena

The provided data lists no publications in any year over the last decade, so publication activity cannot be characterized from this record.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

In context
Among 590 early career Physics and Astronomy PIs within our index
Citations: 1,926cohort median 366
h-index: 20cohort median 9
Publications / year (recent): 63.0cohort median 2.8

Typically publishes in teams of ~1 · 100% small-team papers (≤3 authors) · across 1 venues

Publication cadence
Publications per year over the last 10 years — averaging 63.0/year recently
17181920212022: 2 publications222023: 59 publications232024: 113 publications113242025: 85 publications252026: 56 publications26
Publishes in
  • Journal of High Energy Physics×82
  • The European Physical Journal C×47
  • arXiv (Cornell University)×34
  • DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)×32
  • Physics Letters B×27
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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 Sep 1, 2026.

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