Selena Wang
Neuroscience · Indiana University
Publications
59
Citations
264
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2007
Selena Wang develops statistical and machine-learning methods to analyze brain imaging data, focusing on how brain networks connect and how these connections relate to behavior, genetics, and disease. A major application area is Alzheimer's disease and dementia, where the work models tau protein spread, cognitive decline, and disease progression. The research bridges neuroscience with quantitative fields such as biostatistics, psychometrics, and network science.
Publication activity grew sharply from a handful of papers per year around 2019–2021 to a sustained high output (roughly 10–15 per year) from 2022 onward.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~6 · 26% small-team papers (≤3 authors) · across 27 venues
- Advancing global dementia research through equity and inclusion
Alzheimer s & Dementia · 2026
- The Co-Varying Ties between Networks and Item Responses via Latent Variables
Psychometrika · 2026
- Maternal IL-17A administration fails to disrupt fetal cortical lamination in the absence of maternal microbes
Discover Neuroscience · 2026
- Association Between Diabetes Prevalence and Glycemic Index Search Interest
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Association Between Diabetes Prevalence and Glycemic Index Search Interest
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Sex Differences in the Diffusion of Tau Neurofibrillary Tangles Across Functional Brain Networks
Alzheimer s & Dementia · 2025
- Antiseizure Medications in Poststroke Seizures
Neurology · 2025
- Latent space-based network analysis for brain–behavior linking in neuroimaging
Nature Methods · 2025
- Cost Efficiency of fMRI Studies Using Resting‐State Vs. Task‐Based Functional Connectivity
Human Brain Mapping · 2025
- Network science in psychology.
Psychological Methods · 2025
- Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
Statistics in Medicine · 2025
- Supervised brain node and network construction under voxel-level functional imaging
Imaging Neuroscience · 2025
- Medical and veterinary pathogens detected in invading Asian longhorned ticks (Haemaphysalis longicornis) from Ohio and Pennsylvania
American Journal of Veterinary Research · 2025
- Deep Learning Framework for Characterizing Tau‐PET Spatial Heterogeneity along AD Spectrum: A Self‐supervised Approach
Alzheimer s & Dementia · 2025
- Deep Learning Framework for Characterizing Tau‐PET Spatial Heterogeneity along AD Spectrum: A Self‐supervised Approach
Alzheimer s & Dementia · 2025
- Alzheimer s & Dementia×9
- arXiv (Cornell University)×8
- Brain Behavior and Immunity×8
- Neurology×2
- Psychometrika×2
- Evgeny J. Chumin
Neuroscience · Indiana University
- Michael R. McKenna
Neuroscience · The Ohio State University
- Saige Rutherford
Neuroscience · University of Michigan
- Cleanthis Michael
Neuroscience · University of Michigan
- Aman Taxali
Neuroscience · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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