AcaRevival Initiative

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

Read Manifesto →
RL

Ruijiang Li

Stanford University

No ratings yetBe the first to rate
Loading...

About Ruijiang Li at Stanford University (Stanford)

Ruijiang Li is an academic professional affiliated with Stanford University. Their primary research focus includes Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, and Advanced Radiotherapy Techniques. As a highly cited researcher, their work has accumulated over 8,203 citations, reflecting substantial influence across the academic community. Their H-index of 53 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsAdvanced Radiotherapy TechniquesLung Cancer Diagnosis and TreatmentAdvanced X-ray and CT Imaging

Academic Impact Matrix

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

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

Research Output

Total Citations24,609

Top 5% globally

Publications831

Highly prolific researcher

h-index53

Field leader

i10-index123

Broad impact

Lab Environment

No lab data yet for Ruijiang Li

+ 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.