Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.

Jiang B

DOI: 10.1038/s41598-026-54730-7
Published: 2026 May 29
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54730-7,
  title = {Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.},
  author = {Jiang B},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54730-7},
  url = {https://doi.org/10.1038/s41598-026-54730-7}
}

RIS

TY  - JOUR
TI  - Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.
AU  - Jiang B
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54730-7
UR  - https://doi.org/10.1038/s41598-026-54730-7
ER  -

APA

B, J. (2026). Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.. Scientific reports. https://doi.org/10.1038/s41598-026-54730-7

Source records

pubmed · retrieved 2026-09-25T22:22:21.982Z