A bibliometric analysis of worldwide cancer research using machine learning methods

Lianghong Lin, Likeng Liang, Maojie Wang, Runyue Huang, Mengchun Gong, Guangjun Song, Tianyong Hao

Open source

DOI: 10.1002/cai2.68
Published: 2023-04-11
Container: Cancer Innovation
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/cai2.68,
  title = {A bibliometric analysis of worldwide cancer research using machine learning methods},
  author = {Lianghong Lin and Likeng Liang and Maojie Wang and Runyue Huang and Mengchun Gong and Guangjun Song and Tianyong Hao},
  year = {2023},
  journal = {Cancer Innovation},
  doi = {10.1002/cai2.68},
  url = {https://doi.org/10.1002/cai2.68}
}

RIS

TY  - JOUR
TI  - A bibliometric analysis of worldwide cancer research using machine learning methods
AU  - Lianghong Lin
AU  - Likeng Liang
AU  - Maojie Wang
AU  - Runyue Huang
AU  - Mengchun Gong
AU  - Guangjun Song
AU  - Tianyong Hao
PY  - 2023
JO  - Cancer Innovation
DO  - 10.1002/cai2.68
UR  - https://doi.org/10.1002/cai2.68
ER  -

APA

Lin, L., Liang, L., Wang, M., Huang, R., Gong, M., Song, G., & Hao, T. (2023). A bibliometric analysis of worldwide cancer research using machine learning methods. Cancer Innovation. https://doi.org/10.1002/cai2.68

Source records

crossref · retrieved 2026-09-26T06:20:31.230Z