AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
HL

Huan Liu

Chemical Engineering

Huazhong University of Science and Technology

No ratings yetBe the first to rate
Loading...

About Huan Liu at Huazhong University of Science and Technology

Huan Liu is a researcher at Huazhong University of Science and Technology, where they contribute to the Chemical Engineering Department. They specialize in Thermochemical Biomass Conversion, Coal By-products Utilization, and Waste Recycling, with ongoing contributions to these areas. Their academic career is distinguished by over 13,957 citations, demonstrating their leading role in the global research community. With a formidable H-index of 58, Huan Liu continues to drive innovation in their area of expertise.

Research Areas

Thermochemical Biomass ConversionCoal By-products UtilizationWaste RecyclingMaterials ProductionSustainable EnergyProcess OptimizationIndustrial Waste ManagementGreenhouse Gas Mitigation

Academic Impact Matrix

Research output metrics for Huan Liu aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations13,957

Above average

Publications528

Highly prolific researcher

h-index58

Field leader

i10-index177

Exceptional breadth

Lab Environment

No lab data yet for Huan Liu

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.