Evaluation of the high-quality development of graduate education in mining engineering based on ISM and Bayesian networks

Liyun Wu, Zhipeng Sun, Yuzhong Yang

Open source

DOI: 10.1371/journal.pone.0359427
Published: 2026-10-01
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.0359427,
  title = {Evaluation of the high-quality development of graduate education in mining engineering based on ISM and Bayesian networks},
  author = {Liyun Wu and Zhipeng Sun and Yuzhong Yang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0359427},
  url = {https://doi.org/10.1371/journal.pone.0359427}
}

RIS

TY  - JOUR
TI  - Evaluation of the high-quality development of graduate education in mining engineering based on ISM and Bayesian networks
AU  - Liyun Wu
AU  - Zhipeng Sun
AU  - Yuzhong Yang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0359427
UR  - https://doi.org/10.1371/journal.pone.0359427
ER  -

APA

Wu, L., Sun, Z., & Yang, Y. (2026). Evaluation of the high-quality development of graduate education in mining engineering based on ISM and Bayesian networks. PLOS One. https://doi.org/10.1371/journal.pone.0359427

Source records

crossref · retrieved 2026-11-09T13:39:51.364Z