Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.

Fan T, Li X, Huang C, Huang G

DOI: 10.1038/s41598-026-54737-0
Published: 2026 May 24
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54737-0,
  title = {Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.},
  author = {Fan T and Li X and Huang C and Huang G},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54737-0},
  url = {https://doi.org/10.1038/s41598-026-54737-0}
}

RIS

TY  - JOUR
TI  - Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.
AU  - Fan T
AU  - Li X
AU  - Huang C
AU  - Huang G
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54737-0
UR  - https://doi.org/10.1038/s41598-026-54737-0
ER  -

APA

T, F., X, L., C, H., & G, H. (2026). Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.. Scientific reports. https://doi.org/10.1038/s41598-026-54737-0

Source records

pubmed · retrieved 2026-11-11T00:09:58.502Z