AcaRevival Initiative

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

Read Manifesto →
YH

Ya‐Huei Huang

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Ya‐Huei Huang at Massachusetts Institute of Technology (MIT)

Ya‐Huei Huang is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Planetary Science and Exploration, Astro and Planetary Science, and Space Exploration and Technology. As an established researcher, their work has gained over 144 citations, reflecting growing recognition within the scientific community. Their H-index of 5 further reflects consistent scholarly impact.

Research Areas

Planetary Science and ExplorationAstro and Planetary ScienceSpace Exploration and TechnologySpace Science and Extraterrestrial LifeGeology and Paleoclimatology Research

Academic Impact Matrix

Research output metrics for Ya‐Huei Huang aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations144

Emerging researcher

Publications75

Selective publication record

h-index5

Developing track record

i10-index4

Early-stage portfolio

Lab Environment

No lab data yet for Ya‐Huei Huang

+ 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.