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Advances In Data Science And Adaptive Analysis

Advances In Data Science And Adaptive AnalysisSCIE

国际简称:ADV DATA SCI ADAPT  参考译名:数据科学和自适应分析的进展

  • JCR分区

    Q4

基本信息:
ISSN:2424-922X
E-ISSN:2424-9238
是否OA:未开放
是否预警:否
出版信息:
出版语言:English
研究方向:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
评价信息:
影响因子:0.5
发文数据:
Gold OA文章占比:0.00%
研究类文章占比:100.00%
年发文量:2
英文简介 期刊介绍 JCR分区 常见问题

英文简介Advances In Data Science And Adaptive Analysis期刊介绍

Advances in Data Science and Adaptive Analysis is an academic journal dedicated to the fields of data science and adaptive analysis, aiming to promote research and applications in data science and adaptive analysis, and provide a platform for scholars, researchers, and practitioners in related fields to exchange and share the latest research results. Data science is an interdisciplinary field that involves multiple disciplines such as statistics, computer science, information science, and artificial intelligence. With the advent of the big data era, the application of data science in various industries is becoming increasingly widespread, and the demand for data analysis is also increasing. Adaptive analysis is a data-driven analysis method that can automatically adjust analysis strategies based on changes in data, thereby improving the accuracy and efficiency of analysis. Adaptive analysis has wide applications in many fields, such as finance, healthcare, transportation, etc. By publishing high-quality research articles and organizing various academic activities, this journal has made positive contributions to promoting the research and application of data science and adaptive analysis.

期刊简介Advances In Data Science And Adaptive Analysis期刊介绍

《Advances In Data Science And Adaptive Analysis》该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

  • 预计审稿时间:
  • SCIE
  • 非预警

JCR分区Advances In Data Science And Adaptive Analysis JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS ESCI Q4 118 / 135

13%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS ESCI Q4 120 / 135

11.48%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

投稿常见问题