| 基于文献计量学的人工智能领域研究现状及热点分析 |
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| 引用本文： | 刘龑龙.基于文献计量学的人工智能领域研究现状及热点分析[J].科技管理研究,2021,41(10):38-48. |
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| 作者姓名： | 刘龑龙 |
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| 作者单位： | 科学技术部高技术研究发展中心,北京100044;复旦大学国际关系与公共事务学院,上海200433;科学技术部高技术研究发展中心,北京100044;复旦大学国际关系与公共事务学院,上海200433;之江实验室,浙江杭州 311121 |
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| 基金项目： | 中国博士后科学基金第67批面上资助 |
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| 摘 要： | 基于Scopus数据库和SciVal科研评价工具,从学术产出、被引情况、学术影响力等计量指标分析2014至2019年人工智能领域发展状况和研究热点.研究发现:全球人工智能领域关注度和学术产出持续增加,相关研究进入高速发展阶段,其中美国高校和企业均处于领先地位,德国在研究机构方面最具影响力,而中国高校和研究所虽然学术产出全球第一但成果质量和影响力还有待提高,不过中国企业表现突出,已进入世界第一梯队;研究热点主要集中在基础研究和共性关键技术这两个方面,尤其是模型、算法等基础理论的研究在人工智能领域得到持续关注和重视.最后依据研究结果以及中国人工智能发展战略举措,为促进中国人工智能发展提出建议:引导并激励研究人员发表"三高"论文、开展合作共研,以及聚焦基础理论和关键共性技术研究,促进产学研合作及成果转化.
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| 关 键 词： | 人工智能 人工智能研究 学术产出 文献计量 SciVal |
| 收稿时间： | 2020/10/4 0:00:00 |
| 修稿时间： | 2021/5/14 0:00:00 |
Research status and hot spots of artificial intelligence based on bibliometrics |
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| Liu Yanlong,Shi Dongmei,Liu Jinchang,Tang Li,Wang Jinpeng.Research status and hot spots of artificial intelligence based on bibliometrics[J].Science and Technology Management Research,2021,41(10):38-48. |
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| Authors: | Liu Yanlong Shi Dongmei Liu Jinchang Tang Li Wang Jinpeng |
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| Abstract: | With the prosperous growth of Artificial Intelligence (AI), AI has brought tremendous changes to global social development and human life. In order to study the research situations and trends in the field of AI, this paper studied the overall performance from 2014 to 2019 through different bibliometrics such as scholarly output, citation and academic impact based on Scopus database and Scival statistics tool. The study found that American universities and enterprises are in the leading position, while Germany owed the most influential research institutions in the world. Chinese universities and institutions contributed the highest outputs in the world, but the quality and influence of papers need to be improved. The companies from China were outstanding, which illustrates Chinese company has achieved great improvement in the AI industry in the world. Through the analysis of hot spots and keyword co-occurrence network, it has been found that the worldwide research focused on basic theory and common key technologies, especially model and algorithm which have been paid continuous attention. Finally, based on Chinese policy measures and research results, this paper put forward some suggestions for scientific research management. |
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| Keywords: | Artificial intelligence Research hot spots Bibliometrics Scival |
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