Corporate financial distress prediction with multiperiod annual report data: A fusion deep neural network model

Chongren Wang, Pimei Gong, Jiawang Li, Zhiyi Wang

Open source

DOI: 10.1371/journal.pone.0333064
Published: 2025-09-26
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0333064,
  title = {Corporate financial distress prediction with multiperiod annual report data: A fusion deep neural network model},
  author = {Chongren Wang and Pimei Gong and Jiawang Li and Zhiyi Wang},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0333064},
  url = {https://doi.org/10.1371/journal.pone.0333064}
}

RIS

TY  - JOUR
TI  - Corporate financial distress prediction with multiperiod annual report data: A fusion deep neural network model
AU  - Chongren Wang
AU  - Pimei Gong
AU  - Jiawang Li
AU  - Zhiyi Wang
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0333064
UR  - https://doi.org/10.1371/journal.pone.0333064
ER  -

APA

Wang, C., Gong, P., Li, J., & Wang, Z. (2025). Corporate financial distress prediction with multiperiod annual report data: A fusion deep neural network model. PLOS One. https://doi.org/10.1371/journal.pone.0333064

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crossref · retrieved 2026-09-26T03:19:16.461Z