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Overview of Trends in Global Single Cell Research Based on Bibliometric Analysis and LDA Model (2009–2019) Cover

Overview of Trends in Global Single Cell Research Based on Bibliometric Analysis and LDA Model (2009–2019)

Journal of Data and Information Science
Volume 6 (2021): Issue 2 (April 2021)
By: Tian Jiang,  Xiaoping Liu,  Chao Zhang,  Chuanhao Yin and  Huizhou Liu  
Open Access
|Nov 2020

Authors

Tian Jiang

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

Xiaoping Liu

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

Chao Zhang

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

Chuanhao Yin

Chinese Institute of Electronics, Beijing, China

Huizhou Liu

liuhz@mail.las.ac.cn

National Science Library, Chinese Academy of Sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2021-0008 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 163 - 178
Submitted on: Sep 8, 2020
Accepted on: Oct 23, 2020
Published on: Nov 27, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
LDA model,
Topic evolution,
Bibliometric analysis,
Post-discretized,
Single-cell
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Tian Jiang, Xiaoping Liu, Chao Zhang, Chuanhao Yin, Huizhou Liu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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