| 张子婷,郑彦宁,袁 芳.DNA 计算研究主题的演化路径分析[J].全球科技经济瞭望,2019,34(11-12):79~88 |
| DNA 计算研究主题的演化路径分析 |
| Analysis of Theme Evolutions of DNA Computing |
| 投稿时间：2019-10-07 |
| DOI：10.3772/j.issn.1009-8623.2019.11-12.013 |
| 中文关键词: 演化路径；主题战略图；DNA计算；SciMAT |
| 英文关键词: evolution path; strategic diagram; DNA computing; SciMAT |
| 基金项目:2017 年博士后基金第 61 批“颠覆性技术的识别方法研究”（2017M610970）。 |
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| 中文摘要: |
| 本文基于 WoS 核心合集检索得到 DNA计算领域的 2 373 篇论文，以关键词为分析单元，通过划分研究时间区间，使用共词分析法和聚类分析法，利用SciMAT软件绘制关键词覆盖图、主题战略图、主题路径演化图，识别不同研究时期的研究主题及其演化路径。DNA计算领域的研究始于 1994 年，早期发展较为迟缓，后期关键词增多，研究热度高。各时期研究主题变化不大，演化关系较为简单，在2 个研究方向上呈现 4 条演化路径。分子计算和逻辑门的构建是主要研究主题，将持续成为研究热点。 |
| 英文摘要: |
| Based on the Web of Science core collection, the paper retrieves 2 432 papers related to DNA
computing. By selecting keywords as the unit of analysis, co-word analysis and cluster analysis as method,
SciMAT software as tool, this paper draws keywords overlapping map, topic strategic diagrams and theme
evolutions map to identify research topics and their revolution paths. The research on DNA computing began in
1994. In the early stage, development was slow. With the more researchers focusing on this field, research topics
changed diversely. The differences of research topics between each period were not highly obvious, and the
evolution path were relatively simple. The research demonstrated four evolution paths in two research directions.
Molecular computation and logic gates were the main research topics which are supposed to be research hotpots in
the future. |
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