期刊文献+

民机进近着陆安全研究文献数据可视化分析

Visual Analysis of Literature Data of Civil Aircraft Approach Landing Safety Research
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摘要 为更好地把握国内外民机进近着陆的研究现状,以中国知网(CNKI)为数据库,运用文献可视化分析软件CiteSpace V,从论文的产出时间、机构的合作关系、被引参考文献、关键词的聚类等方面对民航安全领域进行可视化的分析。研究结果显示:民机进近着陆领域研究趋于成熟,论文的产出量基本符合普赖斯逻辑曲线;民机进近着陆领域已经形成了相对核心的核心期刊群,《航空工程进展》《航空学报》《民航学报》等是该领域最权威的核心期刊群;中国民航大学、南京航空航天大学和中国民用航空飞行学院是民航安全领域相对稳定的研究力量,但是机构之间的合作关系较为松散;空中交通管制、民用飞机等是该研究领域的重要关键词;突变词“碰撞风险”代表当前民机进近着陆领域研究的前沿部分。 In order to better grasp the research status of domestic and foreign civil aircraft approach landing,using China Knowledge Network(CNKI)as the database and using CiteSpace V literature visualization analysis software to conduct visual analysis of the field of civil aviation safety in terms of the output time of the papers,the cooperation relationship of institutions,the cited references and the clustering of key words.The research results show that the research in the field of civil aircraft approach and landing tends to be mature,and the output volume of papers basically conforms to the Rice logic curve;the field of civil aircraft approach and landing has formed a relatively core group of core journals,and Advances in Aeronautical Engineering,Journal of Aeronautics,and Journal of Civil Aviation are the most authoritative core journal groups in this field;Civil Aviation University of China,Nanjing University of Aeronautics and Astronautics,and Civil Aviation Flight Academy of China are relatively stable research forces in the field of civil aviation safety,but the cooperation between institutions is relatively loose;air traffic control and civil aircraft are the important key words in this research field;the mutation word"collision risk"represents the frontier part of the current research in the field of landing of civil aircraft.
作者 张英杰 ZHANG Yingjie(Sichuan Institute of Safety Science and Technology,Chengdu 610041,China)
出处 《成都工业学院学报》 2023年第5期49-53,共5页 Journal of Chengdu Technological University
关键词 进近着陆 科学知识图谱 文献可视化分析软件 数据可视化 聚类分析 approach and landing Mapping Knowledge Domains CiteSpace data visualization cluster analysis
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