AcaRevival Initiative

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

Read Manifesto →
MX

Minkai Xu

Stanford University

No ratings yetBe the first to rate
Loading...

About Minkai Xu at Stanford University (Stanford)

Minkai Xu is a researcher based at Stanford University. They specialize in Machine Learning in Materials Science, Computational Drug Discovery Methods, and Topic Modeling, with ongoing contributions to these areas. Their research has drawn over 812 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 15 speaks to the quality and reach of their work.

Research Areas

Machine Learning in Materials ScienceComputational Drug Discovery MethodsTopic ModelingProtein Structure and DynamicsGenerative Adversarial Networks and Image Synthesis

Academic Impact Matrix

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

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

Research Output

Total Citations812

Emerging researcher

Publications64

Selective publication record

h-index15

Developing track record

i10-index18

Early-stage portfolio

Lab Environment

No lab data yet for Minkai Xu

+ 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.