ResearcherShanghai Medical College of Fudan UniversityActive in the last 2 years
Wei Liu
Matched on OpenAlex author ID A5123220110. Sources: OpenAlex.
Their work
- Papers
- 2 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 5
2026: 2 papers
Papers 2
- Correction: Dual-energy CT extracellular volume fraction predicts tumor collagen ratio and possibly survival for inoperable pancreatic cancer patients. Co-author DOI 10.1007/s00330-025-12025-x↗
- Spectral CT-Based habitat imaging for the prediction of occult lymph node metastasis in resectable pancreatic ductal Adenocarcinoma: Pathological validation vi… First author DOI 10.1016/j.ejrad.2026.112679↗
Closest collaborators
The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Tiansong Xie · 2 shared papers, 2026 · strength 0.60
- Paper Correction: Dual-energy CT extracellular volume fraction predicts tumor collagen ratio and possibly survival for inoper… DOI 10.1007/s00330-025-12025-x↗
- Paper Spectral CT-Based habitat imaging for the prediction of occult lymph node metastasis in resectable pancreatic ductal Ad… DOI 10.1016/j.ejrad.2026.112679↗
- Yi Chen · 2 shared papers, 2026 · strength 0.60
- Paper Correction: Dual-energy CT extracellular volume fraction predicts tumor collagen ratio and possibly survival for inoper… DOI 10.1007/s00330-025-12025-x↗
- Paper Spectral CT-Based habitat imaging for the prediction of occult lymph node metastasis in resectable pancreatic ductal Ad… DOI 10.1016/j.ejrad.2026.112679↗
- Zhengrong Zhou · 2 shared papers, 2026 · strength 0.60
- Paper Correction: Dual-energy CT extracellular volume fraction predicts tumor collagen ratio and possibly survival for inoper… DOI 10.1007/s00330-025-12025-x↗
- Paper Spectral CT-Based habitat imaging for the prediction of occult lymph node metastasis in resectable pancreatic ductal Ad… DOI 10.1016/j.ejrad.2026.112679↗
- Zehua Zhang · 1 shared paper, 2026 · strength 0.32
- Lei Chen · 1 shared paper, 2026 · strength 0.32
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.