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Granular Computing

Granular ComputingSCIE

國際簡稱:GRANULAR COMPUT  參考譯名:粒度計算

  • CiteScore分區

    Q1

基本信息:
ISSN:2364-4966
E-ISSN:2364-4974
是否OA:未開放
是否預警:是
出版信息:
出版商:Springer Nature
出版語言:English
研究方向:Multiple
評價信息:
CiteScore指數:10.7
SJR指數:1.42
SNIP指數:1.74
發文數據:
Gold OA文章占比:5.53%
研究類文章占比:81.67%
年發文量:60
英文簡介 期刊介紹 CiteScore數據 JCR分區 發文數據 常見問題

英文簡介Granular Computing期刊介紹

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.

期刊簡介Granular Computing期刊介紹

《Granular Computing》該刊近一年被列入預警期刊名單,目前已被權威數據庫SCIE收錄,得到了廣泛的認可。

該期刊投稿重要關注點:

  • 預計審稿時間:
  • SCIE
  • 預警

Cite Score數據(2024年最新版)Granular Computing Cite Score數據

  • CiteScore:10.7
  • SJR:1.415
  • SNIP:1.737
學科類別 分區 排名 百分位
大類:Computer Science 小類:Computer Science Applications Q1 89 / 817

89%

大類:Computer Science 小類:Information Systems Q1 49 / 394

87%

大類:Computer Science 小類:Artificial Intelligence Q1 57 / 350

83%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發表論文的年篇均引用次數。CiteScore以Scopus數據庫中收集的引文為基礎,針對的是前四年發表的論文的引文。CiteScore的意義在于,它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標來評價。

歷年Cite Score趨勢圖

JCR分區Granular Computing JCR分區

2023-2024 年最新版
按JIF指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI N/A N / A

0%

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

0%

按JCI指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ESCI Q1 29 / 198

85.61%

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

88.25%

JCR分區的優勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此,JCR將期刊按照學科門類和影響因子分為不同的分區,這樣讀者可以根據自己的研究領域和需求選擇合適的期刊。

歷年影響因子趨勢圖

本刊中國學者近年發表論文

  • 1、Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding

    Author: Hao, Xinkun; Chen, Qingfeng; Pan, Haiming; Qiu, Jie; Zhang, Yuxiao; Yu, Qian; Han, Zongzhao; Du, Xiaojing

    Journal: GRANULAR COMPUTING. 2023; Vol. 8, Issue 1, pp. 67-76. DOI: 10.1007/s41066-022-00315-4

  • 2、Feature ranking based on an improved granular neural network

    Author: Song, Mingli; Hu, Liansheng; Feng, Shuang; Wang, Yongbin

    Journal: GRANULAR COMPUTING. 2023; Vol. 8, Issue 1, pp. 209-222. DOI: 10.1007/s41066-022-00324-3

  • 3、Bearing fault diagnosis algorithm based on granular computing

    Author: Wang, Xiaoyong; Yang, Jianhua; Lu, Wei

    Journal: GRANULAR COMPUTING. 2023; Vol. 8, Issue 2, pp. 333-344. DOI: 10.1007/s41066-022-00328-z

  • 4、Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators

    Author: Akram, Muhammad; Niaz, Zohra; Feng, Feng

    Journal: GRANULAR COMPUTING. 2023; Vol. 8, Issue 3, pp. 441-466. DOI: 10.1007/s41066-022-00332-3

  • 5、Variable precision multi-granulation covering rough intuitionistic fuzzy sets

    Author: Xue, Zhan-ao; Jing, Meng-meng; Li, Yong-xiang; Zheng, Yu

    Journal: GRANULAR COMPUTING. 2023; Vol. 8, Issue 3, pp. 577-596. DOI: 10.1007/s41066-022-00342-1

  • 6、Transitivity analysis of preference relations under the impact of indifferent voters

    Author: Liu, Fang; Qiu, Mei-Yu; Zhou, Da-Hai

    Journal: GRANULAR COMPUTING. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41066-023-00380-3

  • 7、An optimization-based method for eliciting priorities from fuzzy preference relations with a novel consistency index

    Author: Luo, Ziqian; Yang, Hui; Liu, Fang

    Journal: GRANULAR COMPUTING. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41066-023-00361-6

  • 8、An efficient spherical fuzzy MEREC-CoCoSo approach based on novel score function and aggregation operators for group decision making

    Author: Wan, Guorou; Rong, Yuan; Garg, Harish

    Journal: GRANULAR COMPUTING. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41066-023-00381-2

投稿常見問題