| 期刊全称 | Journal of Data and Information Science | ||||||||||||||||||||||||||||||||||||
| 期刊缩写 | |||||||||||||||||||||||||||||||||||||
| 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 | JDIS devotes itself to the study and application of the theories, methods, techniques, services, infrastructural facilities using big data to support knowledge discovery for decision & policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. The special effort is on the knowledge discovery to detect and predict structures, trends, behaviors, relations, evolutions and disruptions in research, innovation, business, politics, security, media and communications, and social development, where the big data may include metadata or full content data, text or non-textural data, structured or non-structural data, domain specific or cross-domain data, and dynamic or interactive data. The main areas of interest are: (1) New theories, methods, and techniques of big data based data mining, knowledge discovery, and informatics, including but not limited to scientometrics, communication analysis, social network analysis, tech & industry analysis, competitive intelligence, knowledge mapping, evidence based policy analysis, and predictive analysis. (2) New methods, architectures, and facilities to develop or improve knowledge infrastructure capable to support knowledge organization and sophisticated analytics, including but not limited to ontology construction, knowledge organization, semantic linked data, knowledge integration and fusion, semantic retrieval, domain specific knowledge infrastructure, and semantic sciences. (3) New mechanisms, methods, and tools to embed knowledge analytics and knowledge discovery into actual operation, service, or managerial processes, including but not limited to knowledge assisted scientific discovery, data mining driven intelligent workflows in learning, communications, and management. Specific topic areas may include: Knowledge organization Knowledge discovery and data mining Knowledge integration and fusion Semantic Web metrics Scientometrics Analytic and diagnostic informetrics Competitive intelligence Predictive analysis Social network analysis and metrics Semantic and interactively analytic retrieval Evidence-based policy analysis Intelligent knowledge production Knowledge-driven workflow management and decision-making Knowledge-driven collaboration and its management Domain knowledge infrastructure with knowledge fusion and analytics Development of data and information services | ||||||||||||||||||||||||||||||||||||
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| 期刊ISSN | print: 2096-157Xon-line: 2543-683X | ||||||||||||||||||||||||||||||||||||
| 2026最新影响因子 (2026年6月17日发布) 与上一年的差值 |
2.7↑ 0.9 | ||||||||||||||||||||||||||||||||||||
| 历年影响因子 |
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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：2026-07-03 |
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| h-index（2021） | 暂无h-index数据 | ||||||||||||||||||||||||||||||||||||
| 自引率 | 0.00% | ||||||||||||||||||||||||||||||||||||
| 涉及的研究领域 | INFORMATION SCIENCE & LIBRARY SCIENCE- | ||||||||||||||||||||||||||||||||||||
| 2026年新锐分区 （2026年3月24日发布） |
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| 2026年WOS期刊分区 （2026年6月17日发布） |
JCR学科分类
JCI学科分类
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| 中科院2025年分区 （2025年3月20日发布） |
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| 中科院2024年分区 （2023年12月27日发布） |
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| 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://mc03.manuscriptcentral.com/jdis 优惠提示： Journal of Data and Information Science期刊官方推荐使用LetPub进行必要的文章语言润色服务，下单时您使用该期刊的专属优惠代码“JDIS10%”即可享受10%的折扣。 | ||||||||||||||||||||||||||||||||||||
| 编辑部地址 | Tel: +86-10-82627304 Fax: +86-10-82627304 E-mail: jdis@mail.las.ac.cn Add:P.O. Box 2704, Beijing 100190 P.R. China | ||||||||||||||||||||||||||||||||||||
| 出版商 | Beijing Magtech Co.ltd | ||||||||||||||||||||||||||||||||||||
| 出版国家（地区） | China | ||||||||||||||||||||||||||||||||||||
| 出版语言 | English | ||||||||||||||||||||||||||||||||||||
| 出版周期 | |||||||||||||||||||||||||||||||||||||
| 每年出版文章数 | 35 | ||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 100.00% | ||||||||||||||||||||||||||||||||||||
| 原创研究文献占比 （排除综述） |
93.75% | ||||||||||||||||||||||||||||||||||||
| 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=2096-157X%5BISSN%5D | ||||||||||||||||||||||||||||||||||||
| 平均审稿周期 | 期刊官网数据： 平均about 28 days from submission to first decision. 网友分享经验： 15 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
您可以在上述网站查看该期刊的网友互动，及期刊影响力的其它指标。
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