AcaRevival Initiative

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

Read Manifesto →
XW

Xuanjie Wang

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Xuanjie Wang at Massachusetts Institute of Technology (MIT)

Xuanjie Wang is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Thermal Radiation and Cooling Technologies, Solar-Powered Water Purification Methods, and Solar Thermal and Photovoltaic Systems. As an established researcher, their work has gained over 380 citations, reflecting growing recognition within the scientific community. Their H-index of 10 further reflects consistent scholarly impact.

Research Areas

Thermal Radiation and Cooling TechnologiesSolar-Powered Water Purification MethodsSolar Thermal and Photovoltaic SystemsPhase Change Materials ResearchPhotonic Crystals and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations760

Emerging researcher

Publications58

Selective publication record

h-index10

Developing track record

i10-index12

Early-stage portfolio

Lab Environment

No lab data yet for Xuanjie Wang

+ 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.