Detecting and Visualizing Emerging Trends and Transient Patterns in Fuel Cell Scientific Literature
Detecting and Visualizing Emerging Trends and Transient Patterns in Fuel Cell Scientific Literature
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DOI：
10.1109/wicom.2008.2660
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发表时间：
2008-11
期刊：
影响因子：
--
通讯作者：
Liu Jun-wan;Huang Lu-cheng
中科院分区：
文献类型：
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作者：
Liu Jun-wan;Huang Lu-cheng
基于1990年至2007年间收录在科学引文索引(SCI)数据库中的4185篇研究论文的元数据，我们分析了燃料电池研究中的主题趋势和挑战性问题。我们特别讨论了1)燃料电池的空前突出的挑战，2)燃料电池的发展趋势，3)燃料电池社区的结构和动态。我们利用CiteSpace，一个进步的领域可视化工具，来识别和可视化研究前沿和智力基础的移动，持久的论文集群，以及合作作者网络和引文网络的演变。这一结果有助于深入分析燃料电池的一个主要论坛，并为了解燃料电池的历史和研究现状提供了一种系统和简化的方法。
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.