AcaRevival Initiative

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

Read Manifesto →
YL

Yu Lin

Stanford University

No ratings yetBe the first to rate
Loading...

About Yu Lin at Stanford University (Stanford)

Yu Lin is a researcher based at Stanford University. They specialize in Perovskite Materials and Applications, High-pressure geophysics and materials, and Diamond and Carbon-based Materials Research, with ongoing contributions to these areas. Their academic career is distinguished by over 3,343 citations, demonstrating their leading role in the global research community. With a formidable H-index of 29, Yu Lin continues to drive innovation in their area of expertise.

Research Areas

Perovskite Materials and ApplicationsHigh-pressure geophysics and materialsDiamond and Carbon-based Materials ResearchSolid-state spectroscopy and crystallographyHydrogen Storage and Materials
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure
The Professor Is In
#1 PhD Survival GuideAcademic Discount Available
The Hidden Rules of Grad School — What Your Advisor Won't Tell You
View Peer Reviews on Amazon →
Logitech MX Master 3S
Lab Standard ConfigAcademic Discount Available
Your Wrist Will Thank You After Year Two
Access Toolkit Specs →

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations6,686

Emerging researcher

Publications166

Active researcher

h-index29

Developing track record

i10-index44

Growing portfolio

Lab Environment

No lab data yet for Yu Lin

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

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.