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Nature Computational ScienceSCIE

国际简称：NAT COMPUT SCI 参考译名：自然计算科学

CiteScore分区
Q1
JCR分区
Q1

基本信息：: ISSN：2662-8457; 是否OA：未开放; 是否预警：否

出版信息：: 出版商：Springer Nature; 出版语言：English; 研究方向：Multiple

评价信息：: 影响因子：12; CiteScore指数：11.7; SJR指数：2.8; SNIP指数：2.86

发文数据：: Gold OA文章占比：24.88%; 研究类文章占比：94.59%; 年发文量：74

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英文简介期刊介绍 CiteScore数据 JCR分区发文数据常见问题

英文简介Nature Computational Science期刊介绍

The main goal of Nature Computational Science is to promote innovative applications of computing technology in various scientific fields, including but not limited to bioinformatics, chemical informatics, geographic informatics, computational physics, cosmology, materials science, and urban science. The content published in the journal covers both fundamental and applied research, including breakthrough algorithms, tools, and frameworks, as well as new insights and solutions to challenging real-world problems discovered through innovative ways of utilizing computing power.

As an online only journal, Nature Computational Science is able to quickly respond to the latest developments in the scientific community, enabling research results to be shared with global readers at the fastest speed possible. At the same time, the journal also provides readers with accurate and timely background information on the latest developments in the field of computational science by publishing comments, viewpoints, and news and opinion articles, promoting communication and discussion in the academic community.

期刊简介Nature Computational Science期刊介绍

《Nature Computational Science》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

Cite Score数据（2024年最新版）Nature Computational Science Cite Score数据

CiteScore：11.7
SJR：2.797
SNIP：2.856

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Science (miscellaneous)	Q1	7 / 133	95%
大类：Computer Science 小类：Computer Networks and Communications	Q1	30 / 395	92%
大类：Computer Science 小类：Computer Science Applications	Q1	70 / 817	91%

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Nature Computational Science 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：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	ESCI	Q1	2 / 169	99.1%
学科：COMPUTER SCIENCE, THEORY & METHODS	ESCI	Q1	4 / 143	97.6%
学科：MULTIDISCIPLINARY SCIENCES	ESCI	Q1	9 / 134	93.7%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	ESCI	Q1	5 / 169	97.34%
学科：COMPUTER SCIENCE, THEORY & METHODS	ESCI	Q1	5 / 143	96.85%
学科：MULTIDISCIPLINARY SCIENCES	ESCI	Q1	11 / 135	92.22%

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

本刊中国学者近年发表论文

1、Supervised learning of a chemistry functional with damped dispersion
Author: Liu, Yiwei; Zhang, Cheng; Liu, Zhonghua; Truhlar, Donald G.; Wang, Ying; He, Xiao

Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 1, pp. 48-58. DOI: 10.1038/s43588-022-00371-5
2、Dimensionality reduction of calcium-imaged neuronal population activity
Author: Koh, Tze Hui; Bishop, William E.; Kawashima, Takashi; Jeon, Brian B.; Srinivasan, Ranjani; Mu, Yu; Wei, Ziqiang; Kuhlman, Sandra J.; Ahrens, Misha B.; Chase, Steven M.; Yu, Byron M.

Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 1, pp. 71-85. DOI: 10.1038/s43588-022-00390-2
3、Defect modeling and control in structurally and compositionally complex materials
Author: Zhang, Xie; Kang, Jun; Wei, Su-Huai

Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 3, pp. 210-220. DOI: 10.1038/s43588-023-00403-8
4、Moire magnetic exchange interactions in twisted magnets
Author: Yang, Baishun; Li, Yang; Xiang, Hongjun; Lin, Haiqing; Huang, Bing

Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 4, pp. 314-+. DOI: 10.1038/s43588-023-00430-5
5、Deep-learning electronic-structure calculation of magnetic superstructures
Author: Li, He; Tang, Zechen; Gong, Xiaoxun; Zou, Nianlong; Duan, Wenhui; Xu, Yong

Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 4, pp. 321-+. DOI: 10.1038/s43588-023-00424-3