版权说明 操作指南
首页 > 成果 > 详情

Internationalizing AI: evolution and impact of distance factors

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Tang, Xuli;Li, Xin;Ma, Feicheng
通讯作者:
Xin Li
作者机构:
[Tang, Xuli] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Li, Xin] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Med & Hlth Management, Wuhan 430030, Peoples R China.
[Ma, Feicheng] Wuhan Univ, Sch Informat Management, Wuhan 430074, Peoples R China.
通讯机构:
[Xin Li] S
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
语种:
英文
关键词:
International collaboration;Artificial intelligence;Geographic distance;Economic distance;Cultural distance;Academic distance;Industrial distance;AI
期刊:
Scientometrics
ISSN:
0138-9130
年:
2022
卷:
127
期:
1
页码:
181-205
基金类别:
National Science Foundation of China [71420107026, 91646206]; Wuhan University; China Scholarship Council (CSC) [201806270047]
机构署名:
本校为第一机构
院系归属:
信息管理学院
摘要:
International collaboration has become imperative in the field of AI. However, few studies exist concerning how distance factors have affected the international collaboration in AI research. In this study, we investigate this problem by using 1,294,644 AI related collaborative papers harvested from the Microsoft Academic Graph dataset. A framework including 13 indicators to quantify the distance factors between countries from 5 perspectives (i.e., geographic distance, economic distance, cultural distance, academic distance, and industrial distance) is proposed. The relationships were conducted...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com