Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network

Zeyu Wang, Caimeng Wang, Zhili Bai, Song Song

Open source

DOI: 10.1057/s41599-025-05616-y
Published: 2025-08-13
Container: Humanities and Social Sciences Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1057/s41599-025-05616-y,
  title = {Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network},
  author = {Zeyu Wang and Caimeng Wang and Zhili Bai and Song Song},
  year = {2025},
  journal = {Humanities and Social Sciences Communications},
  doi = {10.1057/s41599-025-05616-y},
  url = {https://doi.org/10.1057/s41599-025-05616-y}
}

RIS

TY  - JOUR
TI  - Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network
AU  - Zeyu Wang
AU  - Caimeng Wang
AU  - Zhili Bai
AU  - Song Song
PY  - 2025
JO  - Humanities and Social Sciences Communications
DO  - 10.1057/s41599-025-05616-y
UR  - https://doi.org/10.1057/s41599-025-05616-y
ER  -

APA

Wang, Z., Wang, C., Bai, Z., & Song, S. (2025). Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-025-05616-y

Source records

crossref · retrieved 2026-11-10T14:18:16.747Z