Mengjia Xu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

7 h-index 23 pubs 157 cited

Research Areas

Health disparities and outcomes Nanoplatforms for cancer theranostics Advanced Graph Neural Networks Neural Networks and Applications Complex Network Analysis Techniques

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OverviewAI-generated summary

Dr. Mengjia Xu is a faculty member at John Brown University whose research spans both health outcomes and computational methods. Xu's work includes applications of nanoplatforms for cancer theranostics alongside advanced graph neural networks. Her primary research interests encompass health disparities and outcomes, neural networks, and complex network analysis.

Metrics

  • h-index: 7
  • Publications: 23
  • Citations: 157

Selected Publications

  • A Comparative Study on Dynamic Graph Embedding Based on Mamba and Transformers (2025) DOI
  • Transformerg2g: Adaptive Time-Stepping for Learning Temporal Graph Embeddings Using Transformers (2023) DOI

Collaborators

Researchers in the database who share publications

Alan John Varghese John Brown University 4 shared publications Aniruddha Bora John Brown University 2 shared publications Khemraj Shukla John Brown University 1 shared publication

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