LabCompass

Xiaodan Lou

Physics and Astronomy · Indiana University

OpenAlex
Complex Network Analysis TechniquesOpinion Dynamics and Social InfluenceMisinformation and Its ImpactsAdvanced Graph Neural NetworksNetwork Security and Intrusion Detection

Publications

22

Citations

310

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2011

Research summary
AI-generated

Xiaodan Lou's work spans two distinct areas: computational analysis of complex networks—including link prediction, graph neural networks, and how collective attention flows through online systems—and applied chemistry/materials research on wastewater treatment and photocatalytic CO2 reduction. The network-focused studies use machine learning and mathematical modeling to understand structure and information flow in large systems such as the web and online learning environments.

Complex network analysis and modelingGraph neural networks and link predictionCollective attention in online systemsPhotocatalysis and CO2 reduction materialsWastewater treatment processes

Publication activity has been irregular over the past decade, with a peak in 2019 followed by low and sporadic output, averaging under one paper per year in the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.8/year recently
2017: 2 publications17182019: 6 publications6192020: 1 publication202021: 2 publications21222023: 3 publications232024: 1 publication242526
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • Journal of Colloid and Interface Science×2
  • Scientific Reports×2
  • Distance Education×1
  • PNAS Nexus×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile