Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China's Three Urban Agglomerations as Examples.
- DOI
- 10.3390/ijerph19084461
- Published
- 2022 Apr 7
- Container
- International journal of environmental research and public health
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/ijerph19084461,
title = {Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China's Three Urban Agglomerations as Examples.},
author = {Guo F and Wang Z and Ji S and Lu Q},
year = {2022},
journal = {International journal of environmental research and public health},
doi = {10.3390/ijerph19084461},
url = {https://doi.org/10.3390/ijerph19084461}
}RIS
TY - JOUR TI - Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China's Three Urban Agglomerations as Examples. AU - Guo F AU - Wang Z AU - Ji S AU - Lu Q PY - 2022 JO - International journal of environmental research and public health DO - 10.3390/ijerph19084461 UR - https://doi.org/10.3390/ijerph19084461 ER -
APA
F, G., Z, W., S, J., & Q, L. (2022). Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China's Three Urban Agglomerations as Examples.. International journal of environmental research and public health. https://doi.org/10.3390/ijerph19084461
Source records
- pubmed · retrieved 2026-09-26T08:28:05.764Z
- europe-pmc · retrieved 2026-09-26T08:28:05.776Z