Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis

Faizul Hasan, Hendrik Setia Budi, Lia Taurussia Yuliana, Mokh Sujarwadi

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DOI: 10.12688/f1000research.154704.3
Published: 2024-10-11
Container: F1000Research
Publisher: F1000 Research Ltd
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Cite this work

BibTeX

@article{allodium:10.12688/f1000research.154704.3,
  title = {Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis},
  author = {Faizul Hasan and Hendrik Setia Budi and Lia Taurussia Yuliana and Mokh Sujarwadi},
  year = {2024},
  journal = {F1000Research},
  doi = {10.12688/f1000research.154704.3},
  url = {https://doi.org/10.12688/f1000research.154704.3}
}

RIS

TY  - JOUR
TI  - Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis
AU  - Faizul Hasan
AU  - Hendrik Setia Budi
AU  - Lia Taurussia Yuliana
AU  - Mokh Sujarwadi
PY  - 2024
JO  - F1000Research
DO  - 10.12688/f1000research.154704.3
UR  - https://doi.org/10.12688/f1000research.154704.3
ER  -

APA

Hasan, F., Budi, H. S., Yuliana, L. T., & Sujarwadi, M. (2024). Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis. F1000Research. https://doi.org/10.12688/f1000research.154704.3

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crossref · retrieved 2026-09-25T00:19:32.974Z