AcaRevival Initiative

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

Read Manifesto →
JR

Jung‐El Ryu

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Jung‐El Ryu at Massachusetts Institute of Technology (MIT)

Jung‐El Ryu is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Advanced Sensor and Energy Harvesting Materials, ZnO doping and properties, and Gas Sensing Nanomaterials and Sensors. As an established researcher, their work has gained over 564 citations, reflecting growing recognition within the scientific community. Their H-index of 13 further reflects consistent scholarly impact.

Research Areas

Advanced Sensor and Energy Harvesting MaterialsZnO doping and propertiesGas Sensing Nanomaterials and SensorsAdvanced Memory and Neural ComputingNanomaterials and Printing Technologies
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure
The Professor Is In
#1 PhD Survival GuideAcademic Discount Available
The Hidden Rules of Grad School — What Your Advisor Won't Tell You
View Peer Reviews on Amazon →
Logitech MX Master 3S
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 Jung‐El Ryu aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations564

Emerging researcher

Publications33

Selective publication record

h-index13

Developing track record

i10-index17

Early-stage portfolio

Lab Environment

No lab data yet for Jung‐El Ryu

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

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.