Data Intelligence

SCIE

国际简称：Data Intelligence 参考译名：数据智能

主要研究方向：COMPUTER SCIENCE, INFORMATION SYSTEMS 非预警期刊审稿周期：8 Weeks

《数据智能》(Data Intelligence)是一本由The MIT Press出版的以COMPUTER SCIENCE, INFORMATION SYSTEMS为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

2区中科院分区
Q2 JCR分区
53 年发文量
3.5 IF影响因子
未开放 是否OA
English 出版语言

Data Intelligence publishes new research achievements, methods, and technologies related to data intelligence, promotes academic exchanges, promotes data fusion and effective sharing of data and data processing platforms, assists in real-time knowledge construction, and enhances China's research and application level and international influence in this field. It can not only promote academic exchanges, facilitate data fusion and effective sharing of data and data processing platforms, but also assist in the real-time construction of knowledge. Through the application of these achievements and methods, China's research and application level in the field of data intelligence can be improved, further enhancing China's international influence. This journal provides an important platform for data intelligence research, which not only attracts outstanding scholars at home and abroad to publish their research results, but also promotes communication and cooperation between different disciplines. Through this platform, researchers can share their innovative ideas and methods, promoting theoretical research and practical applications in the field of data intelligence.

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Data Intelligence期刊信息

ISSN：2641-435X
出版语言：English
是否OA：未开放
E-ISSN：2641-435X
出版地区：United States
是否预警：否
出版商：The MIT Press
开源占比：1
Gold OA文章占比：99.33%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：100.00%

Data Intelligence CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

0.535

1.366

学科类别	分区	排名	百分位
大类：Social Sciences 小类：Library and Information Sciences	Q1	46 / 296	84%
大类：Social Sciences 小类：Computer Science Applications	Q2	302 / 1022	70%
大类：Social Sciences 小类：Information Systems	Q2	157 / 519	69%
大类：Social Sciences 小类：Artificial Intelligence	Q2	178 / 570	68%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Data Intelligence中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	2区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机：跨学科应用	2区 2区 2区

Data Intelligence JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q2	120 / 266	55.1
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q2	132 / 266	50.56

Data Intelligence历年数据统计

影响因子

中科院分区

Data Intelligence中国学者发文选摘

1、Evaluating the Accuracy of the Labeling System in Web of Science for the Sustainable Development Goal
Author: Zhao, Yu; Li, Li; Shen, Zhesi

Journal: DATA INTELLIGENCE. 2025; Vol. 7, Issue 1, pp. 95-123. DOI: 10.3724/2096-7004.di.2024.0065
2、An Effective Machine Learning Approach with Hyper-parameter Tuning for Sentiment Analysi
Author: Kanwal, Saima; Raza, Ali; Bai, Chunyan; Zhang, Dawei; Wen, Jing; Kumar, Dileep

Journal: DATA INTELLIGENCE. 2025; Vol. 7, Issue 1, pp. 70-94. DOI: 10.3724/2096-7004.di.2024.0060
3、Bridging the Domain Gap in Grounded Situation Recogni-tion via Unifying Event Extraction across Modalitie
Author: Liu, Qingwen; Li, Zejun; Fan, Zhihao; Yin, Cunxiang; He, Yancheng; Cai, Jing; Fu, Jinhua; Wei, Zhongyu

Journal: DATA INTELLIGENCE. 2025; Vol. 7, Issue 1, pp. 143-162. DOI: 10.3724/2096-7004.di.2025.0004
4、A General Scalable Approach for Knowledge Selection based on Iterative Hybrid Encoding and Re-rankin
Author: Huang, Zhisheng; Jia, Xudong; Chen, Tao; Zhang, Zhongwei

Journal: DATA INTELLIGENCE. 2025; Vol. 7, Issue 1, pp. -. DOI: 10.3724/2096-7004.di.2025.0006
5、Construction of Mongolian Near-synonymous Compound Qualitative Adjective Set
Author: Bao, Meirong; De, Qinggeletu

Journal: DATA INTELLIGENCE. 2025; Vol. 7, Issue 1, pp. 221-236. DOI: 10.3724/2096-7004.di.2025.0008