ResearcherUniversity of VirginiaNo recent work listed

Guimin Dong

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0002-3908-8391; OpenAlex author ID A5023311296. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2021: 1 paper

Papers 1

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. Co-author DOI 10.1007/s41666-021-00098-4 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Paul Raymond Kunk · 1 shared paper, 2021 · strength 0.13
- Paper Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. DOI 10.1007/s41666-021-00098-4 ↗
Philip I. Chow · 1 shared paper, 2021 · strength 0.13
- Paper Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. DOI 10.1007/s41666-021-00098-4 ↗
Matthew J. Reilley · 1 shared paper, 2021 · strength 0.13
- Paper Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. DOI 10.1007/s41666-021-00098-4 ↗
Todd W. Bauer · 1 shared paper, 2021 · strength 0.13
- Paper Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. DOI 10.1007/s41666-021-00098-4 ↗
Tri Minh Le · 1 shared paper, 2021 · strength 0.13
- Paper Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. DOI 10.1007/s41666-021-00098-4 ↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.