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Cited by 369

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in the Beijing-Tianjin-Hebei region of China

Gao, Jiajia, Wang, Kun, Wang, Yong, Liu, Shuhan, Zhu, Chuanyong, Hao, Jiming, Liu, Huanjia, Hua, Shenbing, Tian, Hezhong·2018·Environmental Pollution
DOI 10.1016/j.envpol.2017.10.123
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Crossref · 10.1016/j.envpol.2017.10.123

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Metadata

Authors
Gao, J., Wang, K., Wang, Y., Liu, S., Zhu, C., Hao, J., Liu, H., Hua, S., & Tian, H.
Venue
Environmental Pollution
Publisher
Elsevier BV
Published
2018-02
Volume
233
Pages
714-724
ISSN
0269-7491 (ISSN-L)
DOI
10.1016/j.envpol.2017.10.123
OpenAlex
W2768004339
Cited by
369
References
38
FWCI
20.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in the Beijing-Tianjin-Hebei region of China. https://app.cochat.ai/papers/10.1016/j.envpol.2017.10.123
The paper
Gao, J., Wang, K., Wang, Y., Liu, S., Zhu, C., Hao, J., Liu, H., Hua, S., & Tian, H. (2018). Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in the Beijing-Tianjin-Hebei region of China. Environmental Pollution. https://doi.org/10.1016/j.envpol.2017.10.123

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.