AcaRevival Initiative

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

Read Manifesto →
YL

Yu‐Jung Liu

Stanford University

No ratings yetBe the first to rate
Loading...

About Yu‐Jung Liu at Stanford University (Stanford)

Yu‐Jung Liu is an academic professional affiliated with Stanford University. Their primary research focus includes Advanced oxidation water treatment, Pharmaceutical and Antibiotic Environmental Impacts, and Occupational Health and Safety Research. As an established researcher, their work has gained over 719 citations, reflecting growing recognition within the scientific community. Their H-index of 14 further reflects consistent scholarly impact.

Research Areas

Advanced oxidation water treatmentPharmaceutical and Antibiotic Environmental ImpactsOccupational Health and Safety ResearchRisk and Safety AnalysisAnalytical chemistry methods development

Academic Impact Matrix

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

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

Research Output

Total Citations719

Emerging researcher

Publications35

Selective publication record

h-index14

Developing track record

i10-index15

Early-stage portfolio

Lab Environment

No lab data yet for Yu‐Jung Liu

+ 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.