{"title":"人工智能研究论文综述:对近期论文的定量分析","authors":"Saiyan Cheng, Bin Wang","doi":"10.1109/CSO.2012.156","DOIUrl":null,"url":null,"abstract":"The study on artificial intelligence (AI) is highly interdisplinary, which involves increasing number of researchers from different academic fields. In order to provide an overview for the researchers on recent publications in related fields, we conducted a statistic analysis using bibliometric methods. Using the data source from Web of Science (ISI), we have studied the articles published in the SCI and SSCI journals on the the subject of AI between the year of 2000 and 2011. The data were analyzed from six aspects, including article distribution by years, journals, languages, countries/regions, research fields, and authors. The result revealed the most influential journals, language and authors in this field, which could help researchers from the related area to find useful in formations and direct their researches.","PeriodicalId":170543,"journal":{"name":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Overview of Publications on Artificial Intelligence Research: A Quantitative Analysis on Recent Papers\",\"authors\":\"Saiyan Cheng, Bin Wang\",\"doi\":\"10.1109/CSO.2012.156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study on artificial intelligence (AI) is highly interdisplinary, which involves increasing number of researchers from different academic fields. In order to provide an overview for the researchers on recent publications in related fields, we conducted a statistic analysis using bibliometric methods. Using the data source from Web of Science (ISI), we have studied the articles published in the SCI and SSCI journals on the the subject of AI between the year of 2000 and 2011. The data were analyzed from six aspects, including article distribution by years, journals, languages, countries/regions, research fields, and authors. The result revealed the most influential journals, language and authors in this field, which could help researchers from the related area to find useful in formations and direct their researches.\",\"PeriodicalId\":170543,\"journal\":{\"name\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2012.156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2012.156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
人工智能(AI)的研究是高度跨学科的，涉及越来越多来自不同学术领域的研究人员。为了给研究人员提供一个概述，我们使用文献计量学方法进行了统计分析。本文利用Web of Science (ISI)的数据来源，对2000 - 2011年间发表在SCI和SSCI期刊上的人工智能相关文章进行了研究。数据从文章年份分布、期刊分布、语言分布、国家/地区分布、研究领域分布、作者分布等6个方面进行分析。结果揭示了该领域最具影响力的期刊、语言和作者，可以帮助相关领域的研究人员找到有用的资料并指导他们的研究。
An Overview of Publications on Artificial Intelligence Research: A Quantitative Analysis on Recent Papers
The study on artificial intelligence (AI) is highly interdisplinary, which involves increasing number of researchers from different academic fields. In order to provide an overview for the researchers on recent publications in related fields, we conducted a statistic analysis using bibliometric methods. Using the data source from Web of Science (ISI), we have studied the articles published in the SCI and SSCI journals on the the subject of AI between the year of 2000 and 2011. The data were analyzed from six aspects, including article distribution by years, journals, languages, countries/regions, research fields, and authors. The result revealed the most influential journals, language and authors in this field, which could help researchers from the related area to find useful in formations and direct their researches.
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