Formula-S: Situated Visualization for Traditional Chinese Medicine Formula Learning

The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods. Additionally, it provides superior contextual understanding of TCM formulas, making it a promising new solution for TCM learning.

Authors

Institutions

Publication Details

Journal
Chinese Medical Sciences Journal
Published
2025-01-01
DOI
https://doi.org/10.24920/004462
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Formula-S: Situated Visualization for Traditional Chinese Medicine Formula Learning

Yan Zhu, Zhenshuai Wu, Liang Zhou, Suyuan Peng
Chinese Medical Sciences Journal
Biomedical Text Mining and Ontologies
article

Formula-S: Situated Visualization for Traditional Chinese Medicine Formula Learning

Yan Zhu, Zhenshuai Wu, Liang Zhou, Suyuan Peng
article en

Abstract

The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods. Additionally, it provides superior contextual understanding of TCM formulas, making it a promising new solution for TCM learning.

Chinese Medical Sciences JournalVol. 0(0)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN)
Quality Education
Openalex Percentile: Top 94%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.