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Zhijun Yin
Data Mining For Health Behavior Prediction
Machine Learning In Online Health Communities
Social Media Health Data Analysis
Intensive Data Processing Systems
Social Computing
About
His research mainly focuses on developing and applying data mining and machine learning techniques for modeling, analyzing, and predicting health-related behaviors and outcomes using data in online environments (e.g., in social media platforms, online health communities, or patient portals). He is also interested in intensive data processing systems and social computing.
Research Performance Summary
2015-2026
Active Research Span
First Recorded Paper
A Scalable Framework to Detect Personal Health Mentions on Twitter
Year:
2015
Citations:
87
Venue:
Journal of Medical Internet Research 17 (6), e138
Latest Recorded Paper
Benchmarking Transfer Learning for Dense Breast Tissue Segmentation on Small Mammogram Datasets
Year:
2026
Citations:
0
Venue:
medRxiv, 2026.02. 23.26346855
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Research Impact by Period
Papers
25
Citations
23
Avg. Citations / Paper
0.9
H-Index
3
Papers
38
Citations
528
Avg. Citations / Paper
13.9
H-Index
13
Papers
15
Citations
400
Avg. Citations / Paper
26.7
H-Index
10
Contact and Professional Links
Detected Research Keywords
Online Breast Cancer
Breast Cancer Patients
Hormonal Therapy Medication
Artificial Intelligence Machine
Intelligence Machine Learning
Adherence Online Breast
Breast Cancer Forum
Alzheimer Disease Related
Therapy Medication Discontinuation
Electronic Health Records