LabCompass

Chengtian Cui

Engineering · Purdue University West Lafayette

Mid career · publishing since 2003

Publications

77

Citations

1,275

Est. group size

~2

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Chengtian Cui works on chemical process engineering, focusing on how to design, optimize, and control industrial separation and reaction processes—especially distillation systems—to save energy and reduce carbon emissions. Much of the work combines process design with dynamic simulation, control strategies, and safety analysis for technologies like pressure-swing distillation, heat pump-assisted distillation, and power-to-X (e.g., power-to-methanol, power-to-synthetic fuel) systems. This research is relevant to students interested in energy-efficient chemical manufacturing, process control, and decarbonization technologies.

Distillation process design and intensificationProcess control and fault detectionEnergy efficiency and carbon reduction in chemical processesPower-to-X and renewable energy integrationProcess safety and dynamic simulation

Publication output has been steady to slightly growing over the last decade, fluctuating between about 5-10 papers per year with a notable increase around 2021 and 2023.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.6/year recently
2017: 8 publications172018: 5 publications182019: 5 publications192020: 6 publications202021: 10 publications10212022: 5 publications222023: 10 publications10232024: 9 publications242025: 7 publications252026: 7 publications26
Recent publications
Publishes in
  • Separation and Purification Technology×14
  • Process Safety and Environmental Protection×11
  • Chemical Engineering and Processing - Process Intensification×7
  • Chemical Engineering Science×4
  • Energy×4
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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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