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Early identification of scientific breakthroughs through outlier analysis based on research entities Cover

Early identification of scientific breakthroughs through outlier analysis based on research entities

Journal of Data and Information Science
Volume 9 (2024): Issue 4 (November 2024)
By: Yang Zhao,  Mengting Zhang,  Xiaoli Chen and  Zhixiong Zhang  
Open Access
|Nov 2024

Authors

Yang Zhao

National Science Library, Chinese Academy of Sciences, Beijing, China

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

Xiaoli Chen

National Science Library, Chinese Academy of Sciences, Beijing, China

Zhixiong Zhang

zhangzhx@mail.las.ac.cn

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
DOI: https://doi.org/10.2478/jdis-2024-0027 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 90 - 109
Submitted on: Mar 11, 2024
Accepted on: Aug 9, 2024
Published on: Nov 19, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Scientific breakthroughs,
Outlier analysis,
Research entities
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Yang Zhao, Mengting Zhang, Xiaoli Chen, Zhixiong Zhang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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