| 基于中国知网数据库的中国深潜技术文献研究 |
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| 引用本文： | 杨薇,栾维新,曹月朦.基于中国知网数据库的中国深潜技术文献研究[J].科技管理研究,2021,41(4):1-8. |
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| 作者姓名： | 杨薇 栾维新 曹月朦 |
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| 作者单位： | 大连海事大学航运经济与管理学院,辽宁大连116026 |
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| 基金项目： | 国家社会科学基金重大项目“海洋强国背景下我国陆海统筹战略研究” |
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| 摘 要： | 基于1980—2018年间研究中国深潜技术的811篇文献数据,运用文献计量、支持向量机(SVM)聚类分析以及可视化分析等方法,对中国深潜技术领域研究热点、热点年度变化、研究机构、作者及合作网络等情况进行综合分析。研究显示:中国深潜技术领域总体上受到持续关注,2010年以来文献数量呈现爆发性增长态势;研究热点集中在导航与通信、结构、控制等系统技术方面,对材料、生命支持(仅适用载人深潜器)等系统技术方面研究不足;军队系统与高校为研究主力,但合作研究未形成规模效应。
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| 关 键 词： | 深潜技术 文献计量 支持向量机(SVM)聚类分析 网络可视化分析 |
Literature Research on Chinese Deep Submergence Technology Based on CNKI Database |
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| Yang Wei,Luan Weixin,Cao Yuemeng.Literature Research on Chinese Deep Submergence Technology Based on CNKI Database[J].Science and Technology Management Research,2021,41(4):1-8. |
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| Authors: | Yang Wei Luan Weixin Cao Yuemeng |
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| Institution: | (School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,China) |
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| Abstract: | Based on 811 literatures from 1980 to 2018,this paper makes a comprehensive analysis of hot spots,annual changes of hot spots,research institutions,authors and cooperative networks in the field of deep-submergence technology in China by means of bibliometrics,support vector machine(SVM)clustering analysis and visual analysis.The research shows that China’s deep-submersible technology has received continuous attention on the whole,and the number of literature has been increasing explosively since 2010;research focuses on the navigation and communication,structure,control and other system technologies,while the materials,life support(only for manned deep-submersible)and other systems technology research is sufficient;the military system and colleges and universities are the main forces of the research,but the cooperative research has not formed the scale effect. |
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| Keywords: | deep submergence technology literature measurement SVM clustering analysis network visual analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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