Guodong Gordon Gao

About Guodong Gordon Gao

Guodong Gordon Gao, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of AI in Healthcare, Quality Transparency, mHealth, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns

Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities

The Value of Virtual Engagement: Evidence from a Running Platform

Friend or foe? teaming between artificial intelligence and workers with variation in experience

Systems and methods for score based clusters

Data Science for Health Equity: Perils and Promise of AI/ML in Healthcare

Systems and methods for analyzing, interpreting, and acting on continuous glucose monitoring data

Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework

Guodong Gordon Gao Information

University

Position

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Citations(all)

6462

Citations(since 2020)

3674

Cited By

4240

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

37

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Guodong Gordon Gao Skills & Research Interests

AI in Healthcare

Quality Transparency

mHealth

Big Data

Top articles of Guodong Gordon Gao

The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns

Journal of Diabetes Science and Technology

2024/2/19

Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities

2024

The Value of Virtual Engagement: Evidence from a Running Platform

Management Science

2023/10/31

Friend or foe? teaming between artificial intelligence and workers with variation in experience

Management Science

2023/10/11

Systems and methods for score based clusters

2023/5/4

Data Science for Health Equity: Perils and Promise of AI/ML in Healthcare

ML in Healthcare (April 24, 2023)

2023/4/24

Systems and methods for analyzing, interpreting, and acting on continuous glucose monitoring data

2023/4/13

Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework

Health Policy and Technology

2023/3/1

The Impact of Stigmatizing Language in EHR Notes on AI Performance and Fairness

2023

Huddling with families after disaster: Human resilience and social disparity

Plos one

2022/9/28

Recency of online physician ratings

JAMA Internal Medicine

2022/8/1

Engagement and outcomes associated with contextual annotation features of a digital health solution

Journal of Diabetes Science and Technology

2022/7

Building social identity-based groups to enhance online peer support for patients with chronic disease: a pilot study using mixed-methods evaluation

Translational Behavioral Medicine

2022/5

Market segmentation of South African adolescent girls and young women to inform HIV prevention product marketing strategy: a mixed methods study

Health Marketing Quarterly

2022/4/3

RECIPROCITY OR SELF-INTEREST? LEVERAGING DIGITAL SOCIAL CONNECTIONS FOR HEALTHY BEHAVIOR.

MIS Quarterly

2022/3/1

Guodong Gordon Gao
Guodong Gordon Gao

H-Index: 20

Ritu Agarwal
Ritu Agarwal

H-Index: 49

Guodong (Gordon) Gao

Translational Behavioral Medicine

2022

DI++: A deep learning system for patient condition identification in clinical notes

Artificial intelligence in medicine

2022/1/1

Xiangyu Gao
Xiangyu Gao

H-Index: 8

Guodong Gordon Gao
Guodong Gordon Gao

H-Index: 20

Yi Chen
Yi Chen

H-Index: 3

Consumer journeys of adolescent girls and young women in South Africa: Implications for marketing HIV prevention products

Social Marketing Quarterly

2021/9

Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination

Proceedings of the National Academy of Sciences

2021/8/17

635-P: A Simplified Approach for Evaluating and Visualizing CGM Data in People with Diabetes

Diabetes

2021/6/1

See List of Professors in Guodong Gordon Gao University(University of Maryland, Baltimore)

Co-Authors

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