{"title":"Visualizing the Knowledge Domain of Intelligent Justice Research Between 2000 and 2019: a Bibliometric Analysis","authors":"Xiaolong Liu","doi":"10.1109/ICDSBA51020.2020.00036","DOIUrl":null,"url":null,"abstract":"Based on the Web of Science Collection databases from 2000 to 2019, a scientometric analysis of 416 academic works related to intelligent justice was carried out to reveal the development trend in this field and provide recommendations for future researches. The results showed that the number of publications had increased in steps, especially rapidly growing in 2015 – 2019. Through visualization analysis of keyword co-occurrence network and reference timeline map, the main research method was \"Data mining\" technology and hotspots mainly focused on \"crime analysis\", \"detection\" and \"forensics\". Furthermore, the most productive country was USA and China followed as the key area performing such research. Correspondingly, the USA institutions occupied the absolute main in the forefront research institutions. However, owing to the private data, which was obtained difficultly by the public, the intelligent justice researches were only studied in several separate institutions, with institution-collaboration and author-collaboration in a small-scale. By contrast, the intelligent justice researches in USA and Europe were earlier than China, but the Chinese government had stronger interest in the intelligent justice researches recently. The Chinese government launched a number of intelligent justice researches in recent 3 years, not only in crime analysis area, but also in intelligent judgement area. China was playing an increasingly important role in intelligent justice research domain.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Based on the Web of Science Collection databases from 2000 to 2019, a scientometric analysis of 416 academic works related to intelligent justice was carried out to reveal the development trend in this field and provide recommendations for future researches. The results showed that the number of publications had increased in steps, especially rapidly growing in 2015 – 2019. Through visualization analysis of keyword co-occurrence network and reference timeline map, the main research method was "Data mining" technology and hotspots mainly focused on "crime analysis", "detection" and "forensics". Furthermore, the most productive country was USA and China followed as the key area performing such research. Correspondingly, the USA institutions occupied the absolute main in the forefront research institutions. However, owing to the private data, which was obtained difficultly by the public, the intelligent justice researches were only studied in several separate institutions, with institution-collaboration and author-collaboration in a small-scale. By contrast, the intelligent justice researches in USA and Europe were earlier than China, but the Chinese government had stronger interest in the intelligent justice researches recently. The Chinese government launched a number of intelligent justice researches in recent 3 years, not only in crime analysis area, but also in intelligent judgement area. China was playing an increasingly important role in intelligent justice research domain.