Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Visualization applications of the bibliometric software SATI and Histcite

Authors
Jiaxin Zhuang1, Qin Nie1, *, Wang Man1, Chenghai You1
1College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China
*Corresponding author. Email: nieqinhongyi@163.com
Corresponding Author
Qin Nie
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_26How to use a DOI?
Keywords
Computer software; SATI; HistCite; Remote sensing; Forest biomass
Abstract

Compared with the traditional literature review, the use of bibliometric software can carry out scientific and quantitative analysis of a large number of documents, showing the development context and research hotspots in this field. In order to explore the visual analysis effect of the combination of different bibliometric software, the forest biomass in remote sensing was used as the key word to carry out the theme research. Using the title analysis software SATI and the citation analysis software HistCite, combined with the keyword literature in the China National Knowledge Infrastructure database and the Web of Science database for visual quantitative analysis. The results show that the combination of functions of different bibliometric software can effectively complement the analysis results and make them more comprehensive and accurate.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_26
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_26How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jiaxin Zhuang
AU  - Qin Nie
AU  - Wang Man
AU  - Chenghai You
PY  - 2022
DA  - 2022/12/29
TI  - Visualization applications of the bibliometric software SATI and Histcite
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 223
EP  - 232
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_26
DO  - 10.2991/978-94-6463-102-9_26
ID  - Zhuang2022
ER  -