TY  - JOUR
AU  - Dou, Wenjie
AU  - Jia, Qian
AU  - Li, Zepeng
PY  - 2026
DA  - 2026/03/10
TI  - Research Evolution and Thinking of Traditional Chinese Medicine Vocational Education Based on Knowledge Graph
JO  - Frontiers in Educational Innovation and Research
T2  - Frontiers in Educational Innovation and Research
JF  - Frontiers in Educational Innovation and Research
VL  - 2
IS  - 1
SP  - 8
EP  - 19
DO  - 10.62762/FEIR.2025.734785
UR  - https://www.icck.org/article/abs/FEIR.2025.734785
KW  - knowledge graph
KW  - traditional Chinese medicine
KW  - vocational education
KW  - continuing education
KW  - evolution
AB  - Objective: Through bibliometrics and knowledge graph visualization, this paper systematically analyzes the evolution and trends of traditional Chinese medicine (TCM) vocational education research. Methods: Literature was retrieved from CNKI, Wanfang, and VIP databases from inception to October 2025, using search terms including “traditional Chinese medicine,” “TCM theory,” “vocational education,” “vocational training,” and “skills education.” Visual analysis was performed using VOSviewer and the Bibliometrix R package. Results: Annual publications showed phased growth, peaking at 41 in 2022. Core author analysis identified Feng Xiao and Niu Yanhui as the most prolific authors (4 papers each), with a relatively dense collaboration network. Leading institutions included Hunan University of Chinese Medicine and Zhejiang Chinese Medical University, while Hunan and Beijing Universities excelled in article quality. The journals with the most articles were Journal of Traditional Chinese Medicine Management, Modern Distance Education of Chinese Medicine, and Health Vocational Education. Keyword co-occurrence and cluster analysis revealed research hotspots such as “continuing education,” “traditional Chinese medicine,” and “vocational education,” indicating a gradual shift from macro-level conceptual discussions toward specific pathway and mechanism design. Conclusion: TCM vocational education research has achieved considerable progress and attention. However, comprehensive reviews remain limited, and both the proportion of publications in high-level journals and international influence require enhancement. Future research should further integrate digital and intelligent methods to promote innovation and optimization of educational models.
SN  - 3068-5664
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Dou2026Research,
  author = {Wenjie Dou and Qian Jia and Zepeng Li},
  title = {Research Evolution and Thinking of Traditional Chinese Medicine Vocational Education Based on Knowledge Graph},
  journal = {Frontiers in Educational Innovation and Research},
  year = {2026},
  volume = {2},
  number = {1},
  pages = {8-19},
  doi = {10.62762/FEIR.2025.734785},
  url = {https://www.icck.org/article/abs/FEIR.2025.734785},
  abstract = {Objective: Through bibliometrics and knowledge graph visualization, this paper systematically analyzes the evolution and trends of traditional Chinese medicine (TCM) vocational education research. Methods: Literature was retrieved from CNKI, Wanfang, and VIP databases from inception to October 2025, using search terms including “traditional Chinese medicine,” “TCM theory,” “vocational education,” “vocational training,” and “skills education.” Visual analysis was performed using VOSviewer and the Bibliometrix R package. Results: Annual publications showed phased growth, peaking at 41 in 2022. Core author analysis identified Feng Xiao and Niu Yanhui as the most prolific authors (4 papers each), with a relatively dense collaboration network. Leading institutions included Hunan University of Chinese Medicine and Zhejiang Chinese Medical University, while Hunan and Beijing Universities excelled in article quality. The journals with the most articles were Journal of Traditional Chinese Medicine Management, Modern Distance Education of Chinese Medicine, and Health Vocational Education. Keyword co-occurrence and cluster analysis revealed research hotspots such as “continuing education,” “traditional Chinese medicine,” and “vocational education,” indicating a gradual shift from macro-level conceptual discussions toward specific pathway and mechanism design. Conclusion: TCM vocational education research has achieved considerable progress and attention. However, comprehensive reviews remain limited, and both the proportion of publications in high-level journals and international influence require enhancement. Future research should further integrate digital and intelligent methods to promote innovation and optimization of educational models.},
  keywords = {knowledge graph, traditional Chinese medicine, vocational education, continuing education, evolution},
  issn = {3068-5664},
  publisher = {Institute of Central Computation and Knowledge}
}