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工信部人工智能赋能中小企业典型应用场景案例(科研领域)
Patterns
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期刊ISSN
2666-3899
E-ISSN
影响因子
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自引率
1.4%
SCI期刊JCR分区
SCI期刊JCR分区等级:1区
按学科分区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q1
COMPUTER SCIENCE, INFORMATION SYSTEMS
Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q1
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q1
COMPUTER SCIENCE, INFORMATION SYSTEMS
Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q1
《新锐期刊分区表》
(2026年3月发布)
大类学科 小类学科 Top期刊 综述期刊
计算机科学
2区
计算机:人工智能
2区
计算机:信息系统
2区
计算机:跨学科应用
3区
最新中科院SCI期刊分区
(2025年3月升级版)
大类学科 小类学科 Top期刊 综述期刊
计算机科学
2区
计算机:人工智能
2区
计算机:信息系统
2区
计算机:跨学科应用
2区
期刊简介
Patterns is a premium open access journal from Cell Press, publishing ground-breaking original research across the full breadth of data science. We’re all about sharing data science solutions to problems that cross domain boundaries. Accessible Good solutions deserve a big audience Patterns reaches a broad, global audience of computer scientists, researchers in data intensive domains, data stewards, and policy makers. We adhere to the FAIR Principles to make sure that the data, software, workflows, algorithms, and other research outputs we publish are findable, accessible, interoperable, and reusable. Boundaryless Good insights fuel action in all domains Patterns is the home for data scientists and researchers in data-intensive fields in both academia and industry. The journal shares data science solutions across the spectrum of disciplines, including computational, physical, life, and social sciences, and the humanities. Constructive Good decisions need good data Patterns publishes ground-breaking data science research that is both theoretical and practical. We ensure that the research reported in our articles is quality controlled through rigorous, cross-domain peer-review. Patterns brings together research from across domains in academia and industry to: • Share knowledge about how to best develop and run data science infrastructures, tools, and services • Communicate solutions and best practices for data science algorithms and methodologies • Discuss the human and environmental impact of decisions made using data science • Develop new cross-disciplinary methods for efficient data analysis, processing, archiving, and use Patterns publishes original research in data science, particularly focusing on solutions to the cross-disciplinary problems that all researchers face when dealing with data, and articles about datasets, software code, algorithms, infrastructures, etc., with permanent links to these research outputs. Patterns also promotes cross-community conversation by publishing opinion pieces and review articles. Patterns is committed to the high-quality publishing values shown by its sister journals in Cell Press. Patterns will publish top-tier original research and provide a fair, rapid, and rigorous peer-review process via a dedicated team of professional editors, supported by the expertise of our scientific advisory board.
出版信息
出版商 CELL PRESS
期刊官网 https://www.cell.com/patterns/home
涉及的研究方向 Decision Sciences-Decision Sciences (all)
刊期 Monthly
年文章数 95
出版国家或地区 UNITED STATES OF AMERICA
是否OA
SCI期刊收录coverage Emerging Sources Citation Index (ESCI) Scopus (CiteScore) Directory of Open Access Journals (DOAJ)
Cite Score相关
Cite Score
(2025年最新版)
Cite Score SJR SNIP 排名
14.6 1.527 2.063
学科 分区
大类学科:Decision Sciences
小类学科:General Decision Sciences
Q1
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