# Heang‐Ping Chan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/heang-ping-chan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,669 |
| Field | AI in cancer detection |
| h-index | 74 |
| i10-index | 252 |
| Last Known Institution | University of Michigan |
| OpenAlex ID | https://openalex.org/A5027247097 |
| ORCID iD | https://orcid.org/0000-0001-7777-9006 |
| Works | 558 |

## Researcher papers

- [Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI](https://scholariq.org/papers/reporting-guideline-for-the-early-stage-clinical-evaluation-of-decision-support/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Digital Radiography and Breast Imaging](https://scholariq.org/topics/digital-radiography-and-breast-imaging/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

## Researcher university

- [University of Michigan](https://scholariq.org/institutions/university-of-michigan/)

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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.