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Granular Computing

Granular Computing

SCIE

国际简称:GRANULAR COMPUT  参考译名:粒度计算

  • CiteScore分区

    Q1

基本信息:
ISSN:2364-4966
E-ISSN:2364-4974
是否OA:未开放
是否预警:否
出版信息:
出版地区:GERMANY
出版商:Springer Nature
出版语言:None
研究方向:Multiple
评价信息:
CiteScore指数:10.7
SJR指数:1.415
SNIP指数:1.737
发文数据:
Gold OA文章占比:5.53%
研究类文章占比:81.67%
年发文量:0
自引率:0.2363...
开源占比:0.0465
出版撤稿占比:
出版国人文章占比:0
OA被引用占比:
英文简介 期刊介绍 CiteScore数据 JCR分区 常见问题

英文简介Granular Computing期刊介绍

Granular Computing is an international academic journal dedicated to the field of granular computing. It is a new concept and computational paradigm in information processing that involves the study of all theories, methods, techniques, and tools related to granularity. As a superset of fuzzy logic, rough set theory, quotient space theory, and interval computation, granular computing plays an important role in handling fuzzy, incomplete, imprecise, and massive information, and is one of the hotspots in the field of artificial intelligence research. The purpose of this journal is to publish the latest research results in granular computing and related fields, including theoretical development, algorithm design, and application case studies. Through these studies, the journal aims to promote scientific progress in the field of granular computing and provide a platform for academia and industry to exchange the latest research findings. The importance of magazines lies in their potential contribution to enhancing data processing capabilities, optimizing decision-making processes, and promoting the development of intelligent systems.

The magazine covers a wide range of research areas, including but not limited to theoretical research on multi-level granularity structures, the establishment of granularity computing models, and the application of these theories and models in various practical problems. The journal encourages interdisciplinary research, especially those that can reveal new principles of granular computing or improve existing algorithms. In addition, the journal also focuses on the integration of granular computing with other computing paradigms such as machine learning, data mining, and cognitive science.

期刊简介Granular Computing期刊介绍

《Granular Computing》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:

Cite Score数据(2026年6月最新版)Granular Computing Cite Score数据

  • CiteScore:10.7
  • SJR:1.415
  • SNIP:1.737
学科类别 分区 排名 百分位
大类:Computer Science 小类:Computer Science Applications Q1 89 / 817

89%

大类:Computer Science 小类:Information Systems Q1 49 / 394

87%

大类:Computer Science 小类:Artificial Intelligence Q1 57 / 350

83%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

JCR分区Granular Computing JCR分区

2023-2024年最新版
按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI N/A N / A

0

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI N/A N / A

0

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q1 29 / 198

85.61

学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q1 30 / 251

88.25

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