AcaRevival Initiative

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

Read Manifesto →
XZ

Xinliang Zhou

Stanford University

No ratings yetBe the first to rate
Loading...

About Xinliang Zhou at Stanford University (Stanford)

Xinliang Zhou is an academic professional affiliated with Stanford University. Their primary research focus includes EEG and Brain-Computer Interfaces, MicroRNA in disease regulation, and Advanced Memory and Neural Computing. As an established researcher, their work has gained over 524 citations, reflecting growing recognition within the scientific community. Their H-index of 11 further reflects consistent scholarly impact.

Research Areas

EEG and Brain-Computer InterfacesMicroRNA in disease regulationAdvanced Memory and Neural ComputingRNA modifications and cancerLung Cancer Diagnosis and Treatment
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 Xinliang Zhou aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations524

Emerging researcher

Publications40

Selective publication record

h-index11

Developing track record

i10-index12

Early-stage portfolio

Lab Environment

No lab data yet for Xinliang Zhou

+ 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.