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Yejin Choi

Stanford University

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About Yejin Choi at Stanford University (Stanford)

Yejin Choi is an academic professional affiliated with Stanford University. Their primary research focus includes Topic Modeling, Natural Language Processing Techniques, and Multimodal Machine Learning Applications. As a highly cited researcher, their work has accumulated over 16,935 citations, reflecting substantial influence across the academic community. Their H-index of 58 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)Advanced Text Analysis Techniques

Academic Impact Matrix

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

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

Research Output

Total Citations16,935

Top 15% in field

Publications435

Highly prolific researcher

h-index58

Field leader

i10-index169

Exceptional breadth

Lab Environment

No lab data yet for Yejin Choi

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Top Publications

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