Development Review: 2012–2022 Physical Training Visualization

DOI

10.2991/978-94-6463-172-2_184How to use a DOI?

Keywords

Physical training; Fitness; Bibiometrics; CiteSpace; Fitness training; Sport

Abstract

In order to better grasp the research progress of physical training, explore the current research hotspots and trends, and provide a theoretical basis for subsequent research. The current physical fitness training was systematically analyzed through visual analysis software CiteSpace 6.1.R6 and VOSviewer 1.6.18 by confirming the subject search term TS = (“physical fitness training” or “physical training”). After data cleaning. The result was 733 relevant papers. The results showed that the overall trend of physical training was stable over the past 10 years. The visual graph analysis revealed that Orr, R.M. was the author with the highest volume of articles, reaching 12 authors Kraemer. W.J. was the one with the highest volume of articles per article reaching 19.5 times/article, and the connection between author groups needs to be further strengthened; the University of São Paulo institution had the highest number of articles, reaching 31, and from a regional perspective, the United States was in the lead; keyword clustering could be a total of classify 8 clusters, in which high-frequency keywords appear in the order of sports, performance, intensity, physical fitness, sports injuries, education, and women. The focus on women’s issues is also increasing. From the epidemic vocabulary and time presentation graph, physical training is more prominent in the medical field, with keywords sports injury, epidemic, health, and physical training as the main keywords, and people in the post-epidemic era emphasize more on healthy lifestyles. The visualization analysis shows in detail the current research hotspots and development trends of physical fitness training, which show diversified development trends in the process of continuous expansion.

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.

Download article (PDF)

TY  - CONF
AU  - Tong Zhou
AU  - Yaqi Su
AU  - Yihang Huang
AU  - Keyi Liu
PY  - 2023
DA  - 2023/06/30
TI  - Development Review: 2012–2022 Physical Training Visualization
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1665
EP  - 1675
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_184
DO  - 10.2991/978-94-6463-172-2_184
ID  - Zhou2023
ER  -