ResearcherJiangnan UniversityActive in the last 2 years

Xiaohuan Zhang

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

Matched on ORCID iD 0000-0002-7901-8902; OpenAlex author ID A5060118166. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 7

Papers, trials and grants by year

2025: 2 papers

Papers 2

A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer. Co-author DOI 10.1038/s41746-025-02260-3 ↗
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging. Co-author DOI 10.1186/s40644-025-00917-6 ↗

Closest collaborators

The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Fang‐Ming Chen · 1 shared paper, 2025 · strength 0.28
- Paper Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT ima… DOI 10.1186/s40644-025-00917-6 ↗
Lei Zhang · 1 shared paper, 2025 · strength 0.28
- Paper Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT ima… DOI 10.1186/s40644-025-00917-6 ↗
Lei Zhang · 1 shared paper, 2025 · strength 0.28
- Paper Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT ima… DOI 10.1186/s40644-025-00917-6 ↗
Ning Wen · 1 shared paper, 2025 · strength 0.22
- Paper A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer. DOI 10.1038/s41746-025-02260-3 ↗
Yajiao Zhang · 1 shared paper, 2025 · strength 0.22
- Paper A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer. DOI 10.1038/s41746-025-02260-3 ↗
Lei Zhang · 1 shared paper, 2025 · strength 0.22
- Paper A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer. DOI 10.1038/s41746-025-02260-3 ↗
Baiyong Shen · 1 shared paper, 2025 · strength 0.22
- Paper A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer. DOI 10.1038/s41746-025-02260-3 ↗

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.