AcaRevival Initiative

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

Read Manifesto →
PL

Peng Li

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Peng Li at Massachusetts Institute of Technology (MIT)

Peng Li is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Heart Rate Variability and Autonomic Control, Sleep and related disorders, and ECG Monitoring and Analysis. As a highly cited researcher, their work has accumulated over 7,697 citations, reflecting substantial influence across the academic community. Their H-index of 45 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Heart Rate Variability and Autonomic ControlSleep and related disordersECG Monitoring and AnalysisNon-Invasive Vital Sign MonitoringCircadian rhythm and melatonin

Academic Impact Matrix

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

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

Research Output

Total Citations7,697

Emerging researcher

Publications781

Highly prolific researcher

h-index45

Established scholar

i10-index174

Exceptional breadth

Lab Environment

No lab data yet for Peng Li

+ 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.