International Journal Of Data Science And Analytics

SCIE

国际简称：INT J DATA SCI ANAL 参考译名：国际数据科学与分析杂志

主要研究方向：Multiple 非预警期刊

《国际数据科学与分析杂志》(International Journal Of Data Science And Analytics)是一本由Springer Nature出版的以Multiple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。

3区中科院分区
Q3 JCR分区
264 年发文量
2.9 IF影响因子
未开放 是否OA
8 issues per year 出版周期
English 出版语言

The International Journal Of Data Science And Analytics is an academic journal focused on the field of data science and analytics. The journal strives to be the leading academic exchange platform in the field of data science and analytics, advancing research and application in related fields, and promoting knowledge exchange and collaboration on a global scale. The mission is to promote scientific and technological development in the field of data science and analytics and to promote interdisciplinary and cross-disciplinary cooperation.

The journal explores the theoretical foundations of data science and analysis, including statistics, probability theory, mathematical modeling, and more. Study the characteristics of complex data sets, such as high-dimensional data, unstructured data, and how to extract valuable information from these data. Research data acquisition, cleaning, processing and modeling technologies, including data mining, machine learning, deep learning, etc. Explore how to discover patterns, trends, and associations from large amounts of data, and how to translate those findings into knowledge.

[ 查看全部 ]

投稿咨询加急咨询

International Journal Of Data Science And Analytics期刊信息

ISSN：2364-415X
出版语言：English
是否OA：未开放
E-ISSN：2364-4168
出版地区：Germany
是否预警：否
出版商：Springer Nature
出版周期：8 issues per year
开源占比：0.2953
Gold OA文章占比：28.30%
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：85.98%

International Journal Of Data Science And Analytics CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

5.5

0.954

1.954

学科类别	分区	排名	百分位
大类：Mathematics 小类：Applied Mathematics	Q1	88 / 680	87%
大类：Mathematics 小类：Modeling and Simulation	Q1	72 / 397	81%
大类：Mathematics 小类：Computational Theory and Mathematics	Q1	44 / 203	78%
大类：Mathematics 小类：Information Systems	Q2	169 / 519	67%
大类：Mathematics 小类：Computer Science Applications	Q2	341 / 1022	66%

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。

International Journal Of Data Science And Analytics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	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统	4区 4区

International Journal Of Data Science And Analytics 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, ARTIFICIAL INTELLIGENCE	ESCI	Q3	121 / 210	42.6
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	143 / 266	46.4
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q3	130 / 210	38.33
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	165 / 266	38.16

International Journal Of Data Science And Analytics历年数据统计

影响因子

中科院分区

International Journal Of Data Science And Analytics中国学者发文选摘

1、Gtr: graph-temporal relation transformer for multivariate time series anomaly detectio
Author: Shen, Wenwen; He, Zizhou; Li, Suicheng

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01116-7
2、Exploiting the variate-time 2D structure via dual attention for multivariate time series classificatio
Author: Liu, Chang; Yang, Fengbao; Yang, Yunjia

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01129-2
3、Predicting online shopping intentions using TabNet-based ensemble learning approac
Author: Zhen, Yang; Zhang, Lili; Zhu, Xiaoyan

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01104-x
4、Large language models for generative recommendation: asystematic review of data-centric taxonomy, evaluation, and human-centricanalytic
Author: Saeed, Takreem; Wang, Bang

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01106-9
5、A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimizatio
Author: Han, Fei; Cheng, Xi; Ling, Qinghua; Han, Henry; Liu, Huan; Liu, Qing

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01093-x
6、0-1 loss-based one-class SVM on detecting credit ris
Author: Liu, Ju; Yuan, Jun

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01073-1
7、The role of reinforcement learning algorithms in dynamic strategic management of enterprise
Author: Li, Qinling

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-026-01071-3
8、Evaluating credit lending fairness with binarized continuous variables in SAFE metric
Author: Wu, Lunshuai

Journal: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 2026; Vol. 22, Issue 1, pp. -. DOI: 10.1007/s41060-025-01002-8