| 赵吝加,黄园淅.基于文献计量的顶尖人才引进需求分析方法——以类脑计算领域为例[J].全球科技经济瞭望,2017,32(1):46~50，72 |
| 基于文献计量的顶尖人才引进需求分析方法——以类脑计算领域为例 |
| Top Talent Introduction Demand Analysis Method Based on Bibliometrics: Take the Brain-like Computing Area as an Example |
| 投稿时间：2016-11-22 修订日期：2016-11-22 |
| DOI：10.3772/j.issn.1009-8623.2017.01.008 |
| 中文关键词: 类脑计算；文献计量；顶尖人才；人才引进；3-F方法 |
| 英文关键词: brain-like computing; bibliometrics; top talents; talent introduction; 3-F method |
| 基金项目: |
|
| 摘要点击次数: 2399 |
| 全文下载次数: 1760 |
| 中文摘要: |
| 人才资源是实现百年科技强国目标的重要保障。本文在文献计量方法的基础上归纳总结出一套用于分析顶尖人才引进需求的3-F方法——聚焦领域研究热点前沿、挖掘领域顶尖人才分布、计算顶尖人才引进需求，并用该方法对类脑计算领域进行了分析。研究结果表明：目前类脑计算领域的研究热点前沿包括尖峰时间相关的可塑性、忆阻器、突触等；全球类脑计算领域顶尖人才主要分布在美国、德国、英国、法国、瑞士等国家；相对来说，我国在类脑计算领域的顶尖人才引进需求较为迫切，引才政策可适当考虑向该领域倾斜。 |
| 英文摘要: |
| The talent resources is an important guarantee for realizing the goal of building a powerful China in science and technology. Based on the bibliometrics method, this paper summarizes a method, which is called 3-F method (Focusing on the hotspots of a certain field, Finding the top talents distribution worldwide, Figuring out the brain gain index) for analyzing the demand of introducing top talent, and used to analyze the brain-like computing field. The results show that the hotspots in the field of brain-like computing include spike-timing-dependent plasticity, memristor, synapse, etc. The world’s top talents in the field of brain-like computing are mainly distributed in the United States, Germany, the Great Britain, France, Switzerland, etc. Relatively, China’s top talents introduction demand is urgent in the field of brain-like computing. The talent introduction policy may be given to this field with due consideration. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
