ResearcherFirst Affiliated Hospital of GuangXi Medical UniversityActive in the last 2 years
Hong Yang
Matched on ORCID iD 0000-0002-9873-1631; OpenAlex author ID A5055693358. Sources: OpenAlex.
Their work
- Papers
- 3 (first author 0, last author 2)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 4
2019: 1 paper · 2020: none · 2021: none · 2022: none · 2023: none · 2024: 1 paper · 2025: 1 paper
Papers 3
- Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patients. Last author DOI 10.1080/14796694.2025.2520149↗
- Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model. Last author DOI 10.1186/s12938-024-01259-3↗
- Potential ceRNA networks involved in autophagy suppression of pancreatic cancer caused by chloroquine diphosphate: A study based on differentially‑expressed ci… Co-author DOI 10.3892/ijo.2018.4660↗
Closest collaborators
The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Dong‐yue Wen · 2 shared papers, 2024–2025 · strength 0.50
- Paper Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patient… DOI 10.1080/14796694.2025.2520149↗
- Paper Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine… DOI 10.1186/s12938-024-01259-3↗
- Yun He · 2 shared papers, 2024–2025 · strength 0.50
- Paper Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patient… DOI 10.1080/14796694.2025.2520149↗
- Paper Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine… DOI 10.1186/s12938-024-01259-3↗
- Gang Chen · 1 shared paper, 2019 · strength 0.10
- Dan‐Ming Wei · 1 shared paper, 2019 · strength 0.10
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.