Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024)

Analysis of the Distribution Characteristics of Journal Disciplines

Authors
Yan Ma1, Yingkun Han1, Jiangtao Xu2, Qian Chen2, Shilin Zhao3, *, Zaiyi Zhang3
1State Grid Shandong Electric Power Research Institute, Jinan, China
2School of Microelectronics, Tianjin University, Tianjin, China
3North China Electric Power University, Electrical & Electronics Engineering, Changping District, Beijing, China
*Corresponding author. Email: 1716243598@qq.com
Corresponding Author
Shilin Zhao
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-502-7_110How to use a DOI?
Keywords
academic journals; References;Chinese Library classification number; Interdisciplinary characteristics
Abstract

This paper analyzes the interdisciplinary characteristics of academic journals from the perspective of the classification number in the reference, and expands the application of the classification number in the research of academic journals.Taking a variety of journals with strong interdisciplinary as an example, this paper obtains the reference data of journal papers through the Chinese periodical service platform of Pulse by using empirical analysis method.Based on the three dimensions of discipline type, interdisciplinary knowledge fusion and inter-disciplinary knowledge transmission, an index system for the analysis of interdisciplinary characteristics of academic journals is set up to comprehensively analyze the interdisciplinary characteristics of academic journals.Based on the established index system, it can fully display the discipline distribution of academic journals, identify the active disciplines and marginal disciplines of journals, and explore the interdisciplinary knowledge integration degree, knowledge innovation and knowledge dissemination potential of academic journals.Compared with the journal content analysis method, the data of this method is objective and real, and the data acquisition and processing methods are convenient.Compared with the subject classification number analysis method of journals, this method has abundant classification numbers, finer granularity and more reliable effect.

Copyright
© 2024 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 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024)
Series
Atlantis Highlights in Computer Sciences
Publication Date
31 August 2024
ISBN
978-94-6463-502-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-502-7_110How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Yan Ma
AU  - Yingkun Han
AU  - Jiangtao Xu
AU  - Qian Chen
AU  - Shilin Zhao
AU  - Zaiyi Zhang
PY  - 2024
DA  - 2024/08/31
TI  - Analysis of the Distribution Characteristics of Journal Disciplines
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024)
PB  - Atlantis Press
SP  - 1031
EP  - 1041
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_110
DO  - 10.2991/978-94-6463-502-7_110
ID  - Ma2024
ER  -