Identification of Research Fronts in Artificial Intelligence

被引：0

作者：

Luo, Changshou ^{[1
]}

Zhou, Liying ^{[2
]}

Wei, Qingfeng ^{[1
]}

机构：

[1] Beijing Acad Agr & Forestry Sci, Inst Agr Informat & Econ, Beijing, Peoples R China

[2] China Agr Univ Lib, Beijing, Peoples R China

来源：

2017 2ND ASIA-PACIFIC CONFERENCE ON INTELLIGENT ROBOT SYSTEMS (ACIRS) | 2017年

关键词：

artificial intelligence; research profiling; research fronts;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the data of artificial intelligence papers in web of science, the subject research trend and front recognition is analyzed. Firstly, using the total papers and aggregate impact factor, the development trend is analyzed. Through the comparison of subject scale and academic influence of 7 computer discipline, the subject status of the field is assessed. Based on the comparison of top 10 agencies, the excellent institutions are found. Secondly, using co-word analysis with citation coupling enhancement, the 11 research fronts in the field is identified. Using the strategy coordinates, the development potential of the research trend is assessed. The results can provide reference for the relevant institutions and personnel to layout and study in artificial intelligence.

引用

页码：104 / 108

页数：5

共 13 条

[1]

Chen WJ, 2016, J LIB SCI SOC SICHUA, P57

[2] Artificial intelligence in medicine [J].

Hamet, Pavel ;

Tremblay, Johanne .

METABOLISM-CLINICAL AND EXPERIMENTAL, 2017, 69 :S36-S40

[3]

Jiang Binquan, 2010, TECHNOLOGY EC, P25

[4]

Jin TC, 2014, J HENAN U TECHNOLOGY, P107

[5]

Liu Li, 2012, LIB THEORY PRACTICE, P62

[6]

Luan Chunjuan, 2010, TECHNOLOGY LAW, P25

[7]

Lv XD, 2013, CHINESE J SCI TECHNI, P1044

[8]

PERSSON O, 1994, J AM SOC INFORM SCI, V45, P31, DOI 10.1002/(SICI)1097-4571(199401)45:1<31::AID-ASI4>3.0.CO

[9]

2-G

[10]

Qin D, 2016, CHINESE J MED LIB IN, P73

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