AcaRevival Initiative
Experienced academic misconduct or bullying? We're building a real weapon against it.
GC
Guanpeng Chen
Stanford University
No ratings yetBe the first to rate
Loading...
About Guanpeng Chen at Stanford University (Stanford)
Guanpeng Chen is an academic professional affiliated with Stanford University. Their primary research focus includes Vehicle Dynamics and Control Systems, Neural dynamics and brain function, and Soil Mechanics and Vehicle Dynamics. As an established researcher, their work has gained over 333 citations, reflecting growing recognition within the scientific community. Their H-index of 10 further reflects consistent scholarly impact.
Research Areas
Vehicle Dynamics and Control SystemsNeural dynamics and brain functionSoil Mechanics and Vehicle DynamicsHydraulic and Pneumatic SystemsElectric and Hybrid Vehicle Technologies
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 Guanpeng Chen aggregated from public academic databases. Student lab experience data is pending.
Academic data verified · April 2026 · Next sync: May 2026
Research Output
Total Citations666
Emerging researcher
Publications78
Selective publication record
h-index10
Developing track record
i10-index11
Early-stage portfolio
Lab Environment
No lab data yet for Guanpeng Chen
+ Contribute First Review- Supervisionawaiting data
- Responsivenessawaiting data
- Fundingawaiting data
- Communicationawaiting data
- Work-Life Balanceawaiting data
Top Publications
- 01
- 02
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.