# Yun Liu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yun-liu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 17,233 |
| Field | Retinal Imaging and Analysis |
| h-index | 47 |
| i10-index | 96 |
| Last Known Institution | Google (United States) |
| OpenAlex ID | https://openalex.org/A5078784976 |
| ORCID iD | https://orcid.org/0000-0003-4079-8275 |
| Works | 266 |

## Researcher papers

- [Deep learning-enabled medical computer vision](https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/)
- [Toward expert-level medical question answering with large language models](https://scholariq.org/papers/toward-expert-level-medical-question-answering-with-large-language-models/)
- [How to Read Articles That Use Machine Learning](https://scholariq.org/papers/how-to-read-articles-that-use-machine-learning/)

## Researcher topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling-2/)

## Researcher university

- [Google (United States)](https://scholariq.org/institutions/google-united-states/)

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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.