AcaRevival Initiative

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

Read Manifesto →
KC

Kevin Cheng

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Kevin Cheng at Massachusetts Institute of Technology (MIT)

Kevin Cheng is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Nanomaterials and Printing Technologies, Nanofabrication and Lithography Techniques, and Color Science and Applications. As an established researcher, their work has gained over 323 citations, reflecting growing recognition within the scientific community. Their H-index of 7 further reflects consistent scholarly impact.

Research Areas

Nanomaterials and Printing TechnologiesNanofabrication and Lithography TechniquesColor Science and ApplicationsAdvanced Sensor and Energy Harvesting MaterialsAdvancements in Photolithography Techniques

Academic Impact Matrix

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

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

Research Output

Total Citations323

Emerging researcher

Publications66

Selective publication record

h-index7

Developing track record

i10-index6

Early-stage portfolio

Lab Environment

No lab data yet for Kevin Cheng

+ 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.