LabCompass

Lian Duan

Engineering · The Ohio State University

Mid career · publishing since 2006

Publications

192

Citations

3,893

Est. group size

~9

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Lian Duan's research focuses on high-speed and hypersonic fluid dynamics, using computational simulation (including direct numerical simulation, or DNS) and wind tunnel studies to understand how airflow becomes turbulent around vehicles moving at very high speeds, such as near cones, flares, and other aerodynamic bodies. The work also extends to broader aerodynamics topics like vehicle aerodynamics (e.g., SUV design) and, in some recent collaborative papers, atmospheric science topics such as precipitation classification and air pollution modeling. This research is relevant to aerospace engineering, particularly the design of vehicles that travel at supersonic and hypersonic speeds.

Hypersonic and high-speed boundary-layer transitionComputational fluid dynamics and direct numerical simulation (DNS)Shock-wave/turbulent boundary-layer interactionsVehicle and bluff-body aerodynamicsAtmospheric and environmental data modeling (collaborative work)

Publication output has remained fairly steady over the last decade, with year-to-year fluctuation but a moderate increase in recent years (around 12-20 papers annually since 2022).

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

Publication cadence
Publications per year over the last 10 years — averaging 12.8/year recently
2017: 11 publications172018: 13 publications182019: 10 publications192020: 7 publications202021: 10 publications212022: 20 publications20222023: 12 publications232024: 15 publications242025: 15 publications252026: 2 publications26
Recent publications
Publishes in
  • AIAA Journal×7
  • AIAA SCITECH 2022 Forum×7
  • Bulletin of the American Physical Society×6
  • Journal of Fluid Mechanics×5
  • AIAA Scitech 2021 Forum×5
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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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