Xuwen Wang
Biographic Data
| ID | 7271872 |
|---|---|
| NAME | Xuwen Wang |
| GIVEN NAMES | Xuwen |
| FAMILY NAME | Wang |
| SIGNATURE | WANG X |
| AFFILIATIONS | Zhejiang University |
| ORCID | 0000-0003-1188-043X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Bridging the gap: A survey of resident physicians’ needs for cross-sectional anatomy education and a collaborative teaching framework
A deep learning approach for identifying biomedical breakthrough discoveries using context analysis
Breakthrough research in scientific fields usually comes as a manifestation of major development and advancement. These advances build to an epiphany where new ways of thinking about a problem become possible. Identifying breakthrough research can be useful for cultivating and funding further innovation. This article presents a new method for identifying scientific breakthroughs from research papers based on cue words commonly associated with maj…
Metabolomics coupled with SystemsDock reveal the protective effect and the potential active components of Naozhenning granule against traumatic brain injury
No prominent works on this page.
Metabolomics coupled with SystemsDock reveal the protective effect and the potential active components of Naozhenning granule against traumatic brain injury
A deep learning approach for identifying biomedical breakthrough discoveries using context analysis
Breakthrough research in scientific fields usually comes as a manifestation of major development and advancement. These advances build to an epiphany where new ways of thinking about a problem become possible. Identifying breakthrough research can be useful for cultivating and funding further innovation. This article presents a new method for identifying scientific breakthroughs from research papers based on cue words commonly associated with maj…
Bridging the gap: A survey of resident physicians’ needs for cross-sectional anatomy education and a collaborative teaching framework
Anatomy and Medical Technology (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Augmented Reality Applications (1 works) · Bioinformatics (1 works) · Biology (1 works) · Biomedical Text Mining and Ontologies (1 works) · Chemistry (1 works) · Computer Science (1 works) · Context (archaeology) (1 works)