Characterization and association patterns of <scp>Chinese</scp> food–medicine homologous species based on big data analytics
The integration of traditional Chinese medicine insights with modern big data analytics offers a powerful approach to understanding and leveraging the multifunctional nature of CFMH species. This study enhances our knowledge of CFMH species' characteristics and their potential health benefits, providing a foundation for further scientific exploration and application in healthcare. © 2025 Society of Chemical Industry.
Authors
- Yuzhong Zheng (ORCID: https://orcid.org/0000-0001-7208-0642)
- Zhenxia Zhang (ORCID: https://orcid.org/0000-0001-5244-0938)
- Mouquan Liu
- Yaqun Liu
- L. Chen (ORCID: https://orcid.org/0009-0000-0936-0414)
- Yang Yu (ORCID: https://orcid.org/0000-0002-8209-2898)
- Yicun Chen (ORCID: https://orcid.org/0000-0002-5500-9833)
- Yukai Wan
- Chengsong Xie
- Chunjuan Zhou
- Yongping Huang (ORCID: https://orcid.org/0000-0002-3266-1327)
- Biting Fang
Institutions
- Shantou University (CN)
- Guangzhou University (CN)
- Shantou University Medical College (CN)
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
- Hanshan Normal University (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1002/jsfa.14210
- Primary Topic
- Traditional Chinese Medicine Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00