DocumentCode
479066
Title
Detecting and Visualizing Emerging Trends and Transient Patterns in Fuel Cell Scientific Literature
Author
Liu Jun-wan ; Huang Lu-cheng
Author_Institution
Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
We analyze thematic trends and challenging issues in fuel cell research based on the metadata of 4185 research papers indexed in Science Citation Index (SCI) database between 1990 and 2007. We specifically address 1) all-time prominent challenges in fuel cell, 2) a trend of progression in fuel cell, 3) the structure and dynamics of the fuel cell community. We utilize CiteSpace, a progressive domain visualization tool, to identify and visualize the movement of research fronts and intellectual bases, persistent clusters of papers, and the evolution of coauthorship networks as well as citation networks. The result contributed an in-depth analysis of a major forum of fuel cell and a systematic and streamlined method to keep abreast of the history and the state of the research of fuel cell.
Keywords
data visualisation; fuel cells; power engineering computing; CiteSpace; citation networks; coauthorship networks; fuel cell scientific literature; progressive domain visualization tool; visualizing emerging trends; Citation analysis; Energy conversion; Fuel cells; Fuel economy; Paper technology; Pattern analysis; Technology management; Transient analysis; Visual databases; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2660
Filename
4680849
Link To Document