ResearcherJohns Hopkins UniversityNo recent work listed

Yan Wang

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-7865-9580; OpenAlex author ID A5101846458. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2021: 1 paper · 2022: none · 2023: 1 paper

Papers 2

A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1002/cam4.6335 ↗
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. Co-author DOI 10.1109/tmi.2021.3060066 ↗

Closest collaborators

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

Alan Yuille · 1 shared paper, 2021 · strength 0.16
- Paper Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. DOI 10.1109/tmi.2021.3060066 ↗
Elliot K. Fishman · 1 shared paper, 2021 · strength 0.16
- Paper Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. DOI 10.1109/tmi.2021.3060066 ↗
Xianzheng Qin · 1 shared paper, 2023 · strength 0.15
- Paper A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma. DOI 10.1002/cam4.6335 ↗
Ting‐Ting Gong · 1 shared paper, 2023 · strength 0.15
- Paper A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma. DOI 10.1002/cam4.6335 ↗
Duowu Zou · 1 shared paper, 2023 · strength 0.15
- Paper A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma. DOI 10.1002/cam4.6335 ↗

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.