A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends

Yuanyuan Fan, Xun Zheng, Guang Yang, Pengyu Li, Yanhao Ran, Tianfeng Xu, Tao Wei

Open source

DOI: 10.1097/md.0000000000049128
Published: 2026-05-29
Container: Medicine
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/md.0000000000049128,
  title = {A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends},
  author = {Yuanyuan Fan and Xun Zheng and Guang Yang and Pengyu Li and Yanhao Ran and Tianfeng Xu and Tao Wei},
  year = {2026},
  journal = {Medicine},
  doi = {10.1097/md.0000000000049128},
  url = {https://doi.org/10.1097/md.0000000000049128}
}

RIS

TY  - JOUR
TI  - A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends
AU  - Yuanyuan Fan
AU  - Xun Zheng
AU  - Guang Yang
AU  - Pengyu Li
AU  - Yanhao Ran
AU  - Tianfeng Xu
AU  - Tao Wei
PY  - 2026
JO  - Medicine
DO  - 10.1097/md.0000000000049128
UR  - https://doi.org/10.1097/md.0000000000049128
ER  -

APA

Fan, Y., Zheng, X., Yang, G., Li, P., Ran, Y., Xu, T., & Wei, T. (2026). A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends. Medicine. https://doi.org/10.1097/md.0000000000049128

Source records

crossref · retrieved 2026-09-27T14:05:50.623Z