Knowledge Graph Analysis of Landscape Design Research Based on Citespace
- DOI
- 10.2991/978-2-38476-062-6_73How to use a DOI?
- Keywords
- Landscape design; Citespace; Study; Knowledge graph
- Abstract
The literature related to landscape design research in the China National Knowledge Infrastructure (CNKI) database from 2010 to 2020 was taken as the research object of the present paper. The CiteSpace software is used to explore research hotspots and review the current research status and development. Through this study, it is determined that the number of works is on an upward trend. There is less cooperation between research institutions and authors. Furthermore, there is a single research direction and less cross-fusion. Professional journals have apparent advantages in the number of published papers significantly contributing to landscape design research. According to the statistical analysis of the academic literature, landscape design, landscape architecture, landscape planning, and design will continue to be the key point. Moreover, hotspots, residential areas, plant landscaping, ecological landscape, cultural landscape, and plant community will be the next topics of research focus.
- 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
TY - CONF AU - Xiaoqing Geng PY - 2023 DA - 2023/07/11 TI - Knowledge Graph Analysis of Landscape Design Research Based on Citespace BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 575 EP - 581 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_73 DO - 10.2991/978-2-38476-062-6_73 ID - Geng2023 ER -