Panpan Zhang

Assistant Professor

Vanderbilt University Medical Center

United States

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Dr. Panpan Zhang is an Assistant Professor at Vanderbilt University Medical Center in the United States. His research areas include Bayesian modeling of longitudinal data, social network analysis, and the study of white matter microstructure in aging and Alzheimer's disease. Dr. Zhang has contributed to various fields through recent articles that focus on statistical modeling, network theory, and the impacts of substance use on adolescent development.

Articles (19)

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2025

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2022

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2022

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2021

Collaborators (1)

Jun Yan

University of Connecticut

UNITED STATES

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Panpan Zhang

Research Interests

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Articles (19)

Autoregressive Bayesian modeling of censored HIV longitudinal data using the multivariate Student’s-t distribution

CALF-SBM: A covariate-assisted latent factor stochastic block model

The Sackin index and depth of leaves in generalized Schröder trees

Rank-based assortativity for weighted, directed networks

Social network analysis as a new tool to measure academic impact of physicians

Impact of early alcohol consumption on adolescent development: Commentary on a longitudinal study conducted by Ferariu et al. (2024)

Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering

A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity

Sex and <i>APOE</i> ε4 allele differences in longitudinal white matter microstructure in multiple cohorts of aging and Alzheimer's disease

Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering

On Several Properties of A Class of Hybrid Recursive Trees

A Mixed-Membership Model for Social Network Clustering

Incorporating auxiliary information in betweenness measure for input–output networks

PageRank centrality and algorithms for weighted, directed networks

Generating directed networks with predetermined assortativity measures

Several Topological Indices of Random Caterpillars

Investigating Several Fundamental Properties of Random Lobster Trees and Random Spider Trees

Clustering US States by Time Series of COVID-19 New Case Counts in the Early Months with Non-Negative Matrix Factorization

Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables

Collaborators (1)

Jun Yan

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