AcaRevival Initiative

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

Read Manifesto →
XC

Xiaoli Cui

Materials Science and Engineering

Pingdingshan University

No ratings yetBe the first to rate
Loading...

About Xiaoli Cui at Pingdingshan University

Xiaoli Cui is a researcher at Pingdingshan University, where they contribute to the Materials Science and Engineering Department. They specialize in Advanced Photocatalysis, TiO2 Photocatalysis, and Electrochemical Analysis, with ongoing contributions to these areas. Their body of work spans 17 publications, reflecting steady engagement with the academic community.

Research Areas

Advanced PhotocatalysisTiO2 PhotocatalysisElectrochemical AnalysisWater RemediationNanocompositesSolar CellsEnvironmental MaterialsSurface Engineering
Stop Acting Like a Student.

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

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations75

Emerging researcher

Publications17

Selective publication record

h-index5

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Xiaoli Cui

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

Top Publications

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.