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Journals
Journal of Data and Information Science
Volume 9 (2024): Issue 4 (November 2024)
Open Access
Early identification of scientific breakthroughs through outlier analysis based on research entities
Yang Zhao
Yang Zhao
National Science Library, Chinese Academy of Sciences
Beijing, China
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Zhao, Yang
,
Mengting Zhang
Mengting Zhang
National Science Library, Chinese Academy of Sciences
Beijing, China
Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences
Beijing, China
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Zhang, Mengting
,
Xiaoli Chen
Xiaoli Chen
National Science Library, Chinese Academy of Sciences
Beijing, China
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Chen, Xiaoli
and
Zhixiong Zhang
Zhixiong Zhang
National Science Library, Chinese Academy of Sciences
Beijing, China
Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences
Beijing, China
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Zhang, Zhixiong
Nov 19, 2024
Journal of Data and Information Science
Volume 9 (2024): Issue 4 (November 2024)
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Article Category:
Research Papers
Published Online:
Nov 19, 2024
Page range:
90 - 109
Received:
Mar 11, 2024
Accepted:
Aug 09, 2024
DOI:
https://doi.org/10.2478/jdis-2024-0027
Keywords
Scientific breakthroughs
,
Outlier analysis
,
Research entities
© 2024 Yang Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
