Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

期刊基本信息

  • 期刊名称:Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
  • 期刊级别: Science Citation Index Expanded (SCIE) Scopus (CiteScore)
  • 期刊ISSN:1942-4787
  • 期刊EISSN:1942-4795
  • 简称:WIRES DATA MIN KNOWL
  • 影响因子:11.7
  • 实时影响因子:截止2025年5月19日:11.896
  • 五年影响因子:12.8
  • JCI期刊引文指标:1.06
  • h-index:31
  • 2024-2025自引率:1.70%
  • 期刊官方网站:期刊官方网站
  • 期刊投稿网址:
  • 是否OA开放访问:No
  • 出版商:John Wiley and Sons Inc.

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Science Citation Index Expanded (SCIE)Scopus (CiteScore)

期刊介绍

The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.

期刊语言要求

Language
Manuscripts must be written in American English and be grammatically and linguistically correct. Authors should seek assistance with style, grammar and vocabulary if necessary. Your manuscript may also be sent back to you for revision if the quality of English language is poor.

投稿要求

  • 通讯方式:ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104
  • 涉及的研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
  • 出版国家或地区:ENGLAND
  • 出版语言:English
  • 年文章数:41
  • PubMed Central (PMC)链接:http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1942-4787%5BISSN%5D
  • 平均录用比例:容易

CITESCORE

CiteScoreSJRSNIPCiteScore排名
21.702.2024.053
学科分区排名百分位
大类:Computer Science
小类:General Computer Science
Q17 / 239
97%

WOS期刊JCR分区

WOS分区等级:1区

按JIF指标学科分区收录子集JIF分区JIF排名JIF百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ114/204
93.4%
学科:COMPUTER SCIENCE, THEORY & METHODSSCIEQ17/147
95.6%
按JCI指标学科分区收录子集JCI分区JCI排名JCI百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ148/204
76.72%
学科:COMPUTER SCIENCE, THEORY & METHODSSCIEQ123/147
84.69%

期刊分区表预警名单

2025年03月发布的2025版:不在预警名单中

2024年02月发布的2024版:不在预警名单中

2023年01月发布的2023版:不在预警名单中

2021年12月发布的2021版:不在预警名单中

2020年12月发布的2020版:不在预警名单中

中科院2025年3月升级版

点击查看中国科学院期刊分区趋势图
大类学科小类学科Top期刊综述期刊
计算机科学 4区3区2区
COMPUTER SCIENCE, THEORY & METHODS
计算机:理论方法
4区4区2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
2区3区3区

中科院2023年12月旧的升级版

大类学科小类学科Top期刊综述期刊
计算机科学 3区2区2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区2区2区
COMPUTER SCIENCE, THEORY & METHODS
计算机:理论方法
4区2区2区

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