LabCompass

Di Qi

Engineering · Purdue University West Lafayette

Mid career · publishing since 2005Rising activity

Publications

103

Citations

1,530

Est. group size

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Di Qi's research centers on heat and mass transfer in thermal engineering systems, including falling film heat/mass transfer, dehumidification, boiling nucleation, and thermal energy storage cycles using molten salt and carbon dioxide. Recent work also spans machine learning applications for predicting heat transfer performance and computational fluid dynamics methods for tracking liquid-gas interfaces. The publication record includes some titles on unrelated topics (e.g., phytoplankton ecology, commuting behavior, rare-event sampling algorithms), suggesting either broad interdisciplinary collaboration or possible name overlap with other authors in the bibliographic data.

Heat and mass transfer in engineering systemsFalling film and dehumidification technologyThermal energy storage (molten salt, CO2 Brayton cycles)Boiling and phase-change phenomenaMachine learning for thermal performance prediction

Publication output has grown substantially over the last decade, rising from single digits annually in 2017-2020 to over 20 publications in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 12.6/year recently
2017: 5 publications172018: 7 publications182019: 4 publications192020: 3 publications202021: 8 publications212022: 16 publications222023: 9 publications232024: 12 publications242025: 21 publications21252026: 5 publications26
Recent publications
Publishes in
  • Applied Thermal Engineering×17
  • arXiv (Cornell University)×9
  • SSRN Electronic Journal×7
  • Physics of Fluids×6
  • International Journal of Heat and Mass Transfer×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 20, 2026.

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