Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

Analysis of China's offshore wind power development trend based on bibliometrics

Authors
Xin Li1, Haoxian Dong2, Zhi Li1, Changlei Ma1, Qingnan Kong3, Zihan Sun4, Weijia Ma5, *
1National Ocean Technology Center, Chennai, India
2Tianjin aerospace Data system Technology Co., LTD, Tianjin, China
3Inner Mongolia University of Science and Technology, Inner Mongolia, China
4Tianjin Normal University, Tianjin, China
5Industry Development and Promotion Center Ministry of Industry and Information Technology of the People’s Republic of China, Chennai, India
*Corresponding author. Email: maweijia@idpc.org.cn
Corresponding Author
Weijia Ma
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_53How to use a DOI?
Keywords
offshore wind power; Scientific metrology; Trend analysis; Literature analysis
Abstract

From the perspective of scientific measurement, this paper makes an exploratory analysis of the research status and development trend in the field of offshore wind power. CNKI database is used as the data source to retrieve relevant literature in the field of offshore wind power during 2002-2022, and CiteSpace software is used to analyze the data and visualize the results. By mining and analyzing the number of published papers, institutional cooperation, authors' published papers and distribution of hot spots in the offshore wind power field in the data set, the development trend of the offshore wind power field is analyzed. The results show that the number of published papers in the offshore wind power field is on the rise. The research process can be divided into four stages: starting stage, scale utilization stage, industrialization development stage and commercialization stage. In terms of institutional cooperation, there is closer cooperation among institutions and more emphasis on intra-institutional cooperation. Research hotspots mainly focus on offshore wind power technology research, technology development, application basic research, engineering research and other aspects. Based on the analysis results of this paper, the future direction of offshore wind power field is put forward, which provides a certain reference for future offshore wind power research.

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 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_53
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_53How 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  - Xin Li
AU  - Haoxian Dong
AU  - Zhi Li
AU  - Changlei Ma
AU  - Qingnan Kong
AU  - Zihan Sun
AU  - Weijia Ma
PY  - 2023
DA  - 2023/10/09
TI  - Analysis of China's offshore wind power development trend based on bibliometrics
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 503
EP  - 520
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_53
DO  - 10.2991/978-94-6463-262-0_53
ID  - Li2023
ER  -