# Yee Whye Teh

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yee-whye-teh-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 19,589 |
| Field | Bayesian Methods and Mixture Models |
| h-index | 57 |
| i10-index | 169 |
| Last Known Institution | University of Oxford |
| OpenAlex ID | https://openalex.org/A5064373793 |
| ORCID iD | https://orcid.org/0000-0001-5365-6933 |
| Works | 351 |

## Researcher topics

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Machine Learning and Algorithms](https://scholariq.org/topics/machine-learning-and-algorithms/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Researcher university

- [University of Oxford](https://scholariq.org/institutions/university-of-oxford/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.