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Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning.

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Title: Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning.
Authors: Wu, Jiajing1,2,3,4 (AUTHOR) wujiajing@stu.ouc.edu.cn, Wei, Zhiqiang1,2 (AUTHOR), Zhang, Jinpeng3 (AUTHOR), Xu, Jiali3 (AUTHOR), Jia, Dongjing1,2 (AUTHOR), Ji, Hanjie1 (AUTHOR)
Source: Environmental Science & Pollution Research. Nov2022, Vol. 29 Issue 54, p82336-82350. 15p.
Database: Environment Complete
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  Data: Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Pollution+Research%22">Environmental Science & Pollution Research</searchLink>. Nov2022, Vol. 29 Issue 54, p82336-82350. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=159867333
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11356-022-21476-4
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      – Code: eng
        Text: English
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        StartPage: 82336
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      – TitleFull: Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning.
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            NameFull: Wei, Zhiqiang
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            NameFull: Xu, Jiali
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            NameFull: Jia, Dongjing
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            – D: 24
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              Text: Nov2022
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              Y: 2022
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