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Fei Wang

Computer Science

Cornell University

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About Fei Wang at Cornell University (Cornell)

Fei Wang is a leading researcher at Cornell University specializing in machine learning and artificial intelligence applications for healthcare and biomedical data analysis. Their recent contributions to the field are exemplified by influential works such as "Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning", and "A Privacy Protection Application of Consumer Personal Information Based on an Improved K-Anonymity Algorithm".

Research Areas

Machine Learning in HealthcareArtificial Intelligence in HealthcareBiomedical Text MiningClinical Predictive ModelingElectronic Health RecordsAlzheimer's DiseaseSarcopeniaBiomedical Ontologies
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Academic Impact Matrix

Research output metrics for Fei Wang aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations1,212

Emerging researcher

Publications33

Selective publication record

h-index20

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

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Top Publications

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