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Zhuo Chen · Study

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Zhuo Chen

9 works· latest 2025· 2 institutionscluster: provisionalORCID 0000-0001-7781-2080

h-index6

i106

Citations210

Works here9

23

24

25

Most cited in this library

The Urban Environment and Cardiometabolic Health2024 · 91 citations
Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence2024 · 37 citations
Risk factors and geographic disparities in premature cardiovascular mortality in US counties: a machine learning approach2023 · 24 citations
Deep Learning–Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence2024 · 21 citations
Geographical Patterns and Risk Factor Association of Cardio-Oncology Mortality in the United States2023 · 15 citations

Works

9 shown

AI-Enhanced Analysis of Built Environment Imagery and Neighborhood Obesity in US Cities

JAMA Network Open·2025·11 authors·Open access

4citations

The built environment and adverse cardiovascular events in US veterans with cardiovascular disease

The Science of The Total Environment·2025·11 authors·Open access

4citations

AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk

Journal of the American College of Cardiology·2024·9 authors·Open access

10citations

Deep Learning–Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence

JAMA Cardiology·2024·7 authors·Open access

21citations

The Urban Environment and Cardiometabolic Health

Circulation·2024·13 authors·review·Open access

91citations

Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence

European Heart Journal·2024·6 authors·Open access

37citations

Geographical Patterns and Risk Factor Association of Cardio-Oncology Mortality in the United States

The American Journal of Cardiology·2023·11 authors·Open access

15citations

Built Environment Features Obtained from Google Street View Are Associated with Coronary Artery Disease Prevalence: A Deep-Learning Framework

medRxiv·2023·6 authors·preprint·Open access

4citations

Risk factors and geographic disparities in premature cardiovascular mortality in US counties: a machine learning approach

Scientific Reports·2023·10 authors·Open access

24citations