LabCompass

Zhuoran Dang

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2016
Fluid Dynamics and MixingHeat Transfer and Boiling StudiesWater Systems and OptimizationNuclear Engineering Thermal-HydraulicsMetallurgical Processes and Thermodynamics

Publications

38

Citations

472

Est. group size

~1

Recurring co-author estimate

Active years

10

Publishing since 2016

Research summary
AI-generated

Zhuoran Dang works on multiphase (gas-liquid) flow in pipes, studying topics such as bubble and slug flow patterns, interfacial area (the surface between liquid and gas phases) transport, and pipeline vibration and leaks caused by two-phase flow. Recent work increasingly combines experimental measurements with machine learning and AI methods to detect leaks, classify flow patterns, and improve predictive models for engineering systems like hydrogen and natural gas pipelines.

Multiphase (gas-liquid) pipe flowInterfacial area transport modelingPipeline leak detection and flow-induced vibrationMachine learning and AI for flow diagnosticsThermal-hydraulics and boiling flow experiments

Publication output has been fairly steady over the past decade, with year-to-year fluctuations but no clear long-term growth or decline, averaging under 3 papers per year over the last 5 years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
2017: 1 publication172018: 6 publications6182019: 4 publications192020: 6 publications6202021: 4 publications212022: 5 publications222023: 3 publications232024: 2 publications242025: 4 publications2526
Recent publications
Publishes in
  • International Journal of Heat and Mass Transfer×12
  • arXiv (Cornell University)×5
  • Experimental Thermal and Fluid Science×4
  • Applied Thermal Engineering×2
  • Nuclear Technology×2
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By research-topic overlap
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  • Adam Dix

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  • Mamoru Ishii

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  • Seungjin Kim

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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 20, 2026.

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