Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)

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Analysis of Hot Spots and Trends of Domestic Intelligent Construction Research Based on CiteSpace

Authors
Yajuan Feng1, Ting Lan1, *
1School of Business Administration, Liaoning Technical University, Huludao, Liaoning, 125105, China
*Corresponding author. Email: 807420582@qq.com
Corresponding Author
Ting Lan
Available Online 11 December 2023.
DOI
10.2991/978-94-6463-308-5_3How to use a DOI?
Keywords
intelligent construction; CiteSpace; bibliometrics; China National Knowledge Infrastructure (CNKI)
Abstract

To analyze the hotspots and trends of intelligent construction research in China, bibliometric methods and CiteSpace software were used to analyze and compare the number of Chinese literature releases, disciplinary distribution, institutional cooperation network, emergent keywords, and evolutionary trends, utilizing the main database of the China National Knowledge Infrastructure (CNKI)’s intelligent construction literature from January 2000 to July 2023 as the materials. The results show that the number of Chinese literature on intelligent construction from January 2000 to July 2023 shows an overall increasing trend. Engineering applications dominate China’s intelligent construction research, with research hotspots primarily focusing on technology development and application. The degree of cooperation among researchers is average, and no significant core group of authors has been formed. Although research institutions have formed a core group of institutions, it is not stable enough. With the global advancement of artificial intelligence, it is speculated that the research of intelligent construction intelligence and informatization may become the future research hotspot and trend.

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 2023 8th International Conference on Engineering Management (ICEM 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 December 2023
ISBN
10.2991/978-94-6463-308-5_3
ISSN
2589-4943
DOI
10.2991/978-94-6463-308-5_3How 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  - Yajuan Feng
AU  - Ting Lan
PY  - 2023
DA  - 2023/12/11
TI  - Analysis of Hot Spots and Trends of Domestic Intelligent Construction Research Based on CiteSpace
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 13
EP  - 24
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_3
DO  - 10.2991/978-94-6463-308-5_3
ID  - Feng2023
ER  -