| 期刊全称 | Data Science and Engineering | |||||||||||||||||||||||||||||||||||||||
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| 温馨提示 | （此期刊未被最新的JCR期刊引证报告收录） | |||||||||||||||||||||||||||||||||||||||
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涉及主题
（科研通AI识别） |
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| 期刊介绍 | The journal of Data Science and Engineering (DSE) responds to the remarkable change in the focus of information technology development from CPU-intensive computation to data-intensive computation, where the effective application of data, especially big data, becomes vital. The emerging discipline data science and engineering, an interdisciplinary field integrating theories and methods from computer science, statistics, information science, and other fields, focuses on the foundations and engineering of efficient and effective techniques and systems for data collection and management, for data integration and correlation, for information and knowledge extraction from massive data sets, and for data use in different application domains. Focusing on the theoretical background and advanced engineering approaches, DSE aims to offer a prime forum for researchers, professionals, and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering. More specifically, DSE covers four areas: (i) the data itself, i.e., the nature and quality of the data, especially big data; (ii) the principles of information extraction from data, especially big data; (iii) the theory behind data-intensive computing; and (iv) the techniques and systems used to analyze and manage big data. DSE welcomes papers that explore the above subjects. Specific topics include, but are not limited to: (a) the nature and quality of data, (b) the computational complexity of data-intensive computing,(c) new methods for the design and analysis of the algorithms for solving problems with big data input,(d) collection and integration of data collected from internet and sensing devises or sensor networks, (e) representation, modeling, and visualization of big data,(f) storage, transmission, and management of big data,(g) methods and algorithms of data intensive computing, such asmining big data,online analysis processing of big data,big data-based machine learning, big data based decision-making, statistical computation of big data, graph-theoretic computation of big data, linear algebraic computation of big data, and big data-based optimization. (h) hardware systems and software systems for data-intensive computing, (i) data security, privacy, and trust, and(j) novel applications of big data. | |||||||||||||||||||||||||||||||||||||||
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| 期刊ISSN | print: 2364-1185on-line: 2364-1541 | |||||||||||||||||||||||||||||||||||||||
| 2023最新影响因子 (2024年6月20日公布) 与上一年的差值 |
5.1↑ 0.9 | |||||||||||||||||||||||||||||||||||||||
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| 历年发表/被引量 （科研通AI通过大数据分析） 最后更新日期：2025-05-26 |
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| h-index（2021） | 暂无h-index数据 | |||||||||||||||||||||||||||||||||||||||
| 自引率 | 5.90% | |||||||||||||||||||||||||||||||||||||||
| 涉及的研究领域 | Engineering-Computational Mechanics | |||||||||||||||||||||||||||||||||||||||
| 中科院2025年分区 （2025年3月20日发布） |
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| WOS期刊分区 （2024年6月20日公布） |
JCR学科分类
JCI学科分类
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| 中科院SCI期刊分区 （2023年12月升级版） |
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| 中科院SCI期刊分区 （2022年12月升级版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （2021年12月基础版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （2021年12月升级版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院《国际期刊预警名单（试行）》名单 |
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 2021年01月发布的2020版：不在预警名单中 |
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| 期刊主页 |
（系统检测到多个链接，仅供参考，如有错误，请通过页面底部反馈） |
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| 投稿网址 | https://www.editorialmanager.com/dsej | |||||||||||||||||||||||||||||||||||||||
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| 出版商 | Springer Nature | |||||||||||||||||||||||||||||||||||||||
| 出版国家（地区） | Germany | |||||||||||||||||||||||||||||||||||||||
| 出版语言 | English | |||||||||||||||||||||||||||||||||||||||
| 出版周期 | 4 issues per year | |||||||||||||||||||||||||||||||||||||||
| 每年出版文章数 | 30 | |||||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 100.00% | |||||||||||||||||||||||||||||||||||||||
| 原创研究文献占比 （排除综述） |
88.00% | |||||||||||||||||||||||||||||||||||||||
| SCI收录类型 |
Emerging Sources Citation Index (ESCI) Scopus (CiteScore) Directory of Open Access Journals (DOAJ) |
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| PubMed链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2364-1185%5BISSN%5D | |||||||||||||||||||||||||||||||||||||||
| 平均审稿周期 | 网友分享经验： 12 Weeks |
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| 平均录用比例 | 网友分享经验： |
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| 相关链接 |
LetPub
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