AcaRevival Initiative

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

Read Manifesto →
WF

Wei-hong Feng

Materials Science and Engineering

University of Science and Technology of China

No ratings yetBe the first to rate
Loading...

About Wei-hong Feng at University of Science and Technology of China

Wei-hong Feng is an academic professional affiliated with the Materials Science and Engineering Department at University of Science and Technology of China. Their primary research focus includes battery materials, lithium metal batteries, and solid polymer electrolytes. As an established researcher, their work has gained over 508 citations, reflecting growing recognition within the scientific community. Their H-index of 7 further reflects consistent scholarly impact.

Research Areas

battery materialslithium metal batteriessolid polymer electrolytessodium-ion batteriesenergy storageelectrochemical materialssustainable energybattery technology

Academic Impact Matrix

Research output metrics for Wei-hong Feng aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations508

Emerging researcher

Publications22

Selective publication record

h-index7

Developing track record

i10-index7

Early-stage portfolio

Lab Environment

No lab data yet for Wei-hong Feng

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

Top Publications

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.