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Sejung Ahn · Study

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Sejung Ahn

5 works· latest 2021· 1 institutionscluster: provisionalORCID 0000-0002-7286-4698

h-index5

i104

Citations53

Works here5

12

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21

Most cited in this library

Deep learning-based prediction of future growth potential of technologies2021 · 13 citations
Return to basics: Clustering of scientific literature using structural information2020 · 11 citations
Trends Detection of Display Research Areas by Bibliometric Analysis2012 · 10 citations
The Intellectual Structure of Women’s Studies: A Bibliometric Study of its Research Topics and Influential Publications2020 · 10 citations
Analysis on the Dynamics of Keyword Mapping for Detecting Emerging Technologies : A Case Study on Graphene2012 · 9 citations

Works

5 shown

Deep learning-based prediction of future growth potential of technologies

PLoS ONE·2021·3 authors·Open access

13citations

Return to basics: Clustering of scientific literature using structural information

Journal of Informetrics·2020·3 authors·Open access

11citations

The Intellectual Structure of Women’s Studies: A Bibliometric Study of its Research Topics and Influential Publications

Asian Women·2020·3 authors

10citations

Trends Detection of Display Research Areas by Bibliometric Analysis

The Journal of the Korea institute of electronic communication sciences·2012·5 authors

10citations

Analysis on the Dynamics of Keyword Mapping for Detecting Emerging Technologies : A Case Study on Graphene

The Journal of the Korea institute of electronic communication sciences·2012·5 authors

9citations