ResearcherUniversity of Science and Technology of ChinaActive in the last 2 years

Wei Wei

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

Matched on ORCID iD 0000-0001-7856-4373; OpenAlex author ID A5136275754. Sources: OpenAlex.

Their work

Papers: 2 (first author 0, last author 2)
Trials: 0
Grants: 0
Labs led: 1
Collaborators: 5

Papers, trials and grants by year

2026: 2 papers

Papers 2

Integration of dual-energy CT characteristics and biomarkers: Noninvasive prediction of Ki-67 expression in pancreatic ductal adenocarcinoma. Last author DOI 10.1002/mp.70452 ↗
Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting lymph node metastasis in pancreatic ducta… Last author DOI 10.1186/s12880-026-02765-7 ↗

Closest collaborators

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

Hongji Zhu · 1 shared paper, 2026 · strength 0.29
- Paper Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting l… DOI 10.1186/s12880-026-02765-7 ↗
Shuai Ming · 1 shared paper, 2026 · strength 0.29
- Paper Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting l… DOI 10.1186/s12880-026-02765-7 ↗
Dan Shi · 1 shared paper, 2026 · strength 0.28
- Paper Integration of dual-energy CT characteristics and biomarkers: Noninvasive prediction of Ki-67 expression in pancreatic … DOI 10.1002/mp.70452 ↗
Wei Cao · 1 shared paper, 2026 · strength 0.28
- Paper Integration of dual-energy CT characteristics and biomarkers: Noninvasive prediction of Ki-67 expression in pancreatic … DOI 10.1002/mp.70452 ↗
Wei Zhang · 1 shared paper, 2026 · strength 0.28
- Paper Integration of dual-energy CT characteristics and biomarkers: Noninvasive prediction of Ki-67 expression in pancreatic … DOI 10.1002/mp.70452 ↗

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.