AcaRevival Initiative
Experienced academic misconduct or bullying? We're building a real weapon against it.
HL
Haipeng Li
Stanford University
No ratings yetBe the first to rate
Loading...
About Haipeng Li at Stanford University (Stanford)
Haipeng Li is a researcher based at Stanford University. They specialize in Seismic Imaging and Inversion Techniques, Seismic Waves and Analysis, and Seismology and Earthquake Studies, with ongoing contributions to these areas. Their research has drawn over 148 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 6 speaks to the quality and reach of their work.
Research Areas
Seismic Imaging and Inversion TechniquesSeismic Waves and AnalysisSeismology and Earthquake StudiesGeophysical Methods and ApplicationsAdvanced Fiber Optic Sensors
Stop Acting Like a Student.
Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.
#1 PhD Survival GuideAcademic Discount Available
The Hidden Rules of Grad School — What Your Advisor Won't Tell You
View Peer Reviews on Amazon →
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 Haipeng Li aggregated from public academic databases. Student lab experience data is pending.
Academic data verified · April 2026 · Next sync: May 2026
Research Output
Total Citations444
Emerging researcher
Publications81
Selective publication record
h-index6
Developing track record
i10-index4
Early-stage portfolio
Lab Environment
No lab data yet for Haipeng Li
+ Contribute First Review- Supervisionawaiting data
- Responsivenessawaiting data
- Fundingawaiting data
- Communicationawaiting data
- Work-Life Balanceawaiting data
Top Publications
- 01
- 02Urban sensing using existing fiber-optic networks202514 citations
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.