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Trends and future perspectives in wind energy studies: A bibliometric analysis with time-series neural networks.

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Title: Trends and future perspectives in wind energy studies: A bibliometric analysis with time-series neural networks.
Authors: GENC, Nihal1, OZBILGIN, Ferdi1, BASER, Volkan1
Source: Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi. Oct2025, Vol. 43 Issue 5, p1547-1571. 25p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 189125646
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189125646
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.14744/sigma.2025.00151
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 1547
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      – TitleFull: Trends and future perspectives in wind energy studies: A bibliometric analysis with time-series neural networks.
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              Text: Oct2025
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