Yingnan Ju

Biochemistry, Genetics and Molecular Biology · Indiana University

Single-cell and spatial transcriptomics Medical Imaging Techniques and Applications AI in cancer detection Cell Image Analysis Techniques Consumer Behavior in Brand Consumption and Identification

Publications

Citations

315

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2013

Research summary

AI-generated

Yingnan Ju works at the intersection of artificial intelligence and biomedical data analysis, developing computational systems that interpret medical images and biological data. Recent work includes AI tools for analyzing CT scans in critical-care settings and lightweight neural networks for image recognition tasks. The research broadly spans machine learning applied to healthcare and image analysis.

AI-based medical imagingSingle-cell and spatial transcriptomicsAI for cancer detectionCell image analysisLightweight neural networks

Publication activity began around 2020 and has been modest and somewhat variable since, averaging roughly two to three papers per year with a slowdown in the most recent 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 2.4/year recently

Recent publications

CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care
npj Digital Medicine · 2026
An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
arXiv (Cornell University) · 2020

Publishes in

Zenodo (CERN European Organization for Nuclear Research)×5
arXiv (Cornell University)×4
Communications Biology×3
bioRxiv (Cold Spring Harbor Laboratory)×3
Nature Methods×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.

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