Journal Of Big Data SCIE

国际简称：J BIG DATA-GER 参考译名：大数据杂志

主要研究方向：Computer Science-Information Systems 非预警期刊审稿周期： 13 Weeks

《大数据杂志》(Journal Of Big Data)是一本由Springer Nature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
Q1 JCR分区
179 年发文量
8.6 IF影响因子
开放是否OA
1 issue/year 出版周期
English 出版语言

Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal encourages in-depth investigative reports and case studies on big data technologies to facilitate the exchange of knowledge and innovation in practice.

In the wave of big data, we face many challenges, and these challenges include, but are not limited to, the capture and storage of data. With the explosive growth of data volume, how to efficiently store and manage this data has become a key issue. In addition, the search, sharing and analysis of data are also core issues in the field of big data. How to quickly and accurately extract useful information from massive data is an important direction for the development of big data technology.

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Journal Of Big Data期刊信息

ISSN：2196-1115
出版语言：English
是否OA：开放
E-ISSN：2196-1115
出版地区：United Kingdom
是否预警：否
出版商：Springer Nature
出版周期：1 issue/year
开源占比：0.9949
Gold OA文章占比：99.78%
OA被引用占比：1
出版国人文章占比：0.02
出版撤稿占比：
研究类文章占比：94.97%

Journal Of Big Data CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

17.8

2.068

3.853

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Networks and Communications	Q1	11 / 395	97%
大类：Computer Science 小类：Hardware and Architecture	Q1	6 / 177	96%
大类：Computer Science 小类：Information Systems and Management	Q1	6 / 148	96%
大类：Computer Science 小类：Information Systems	Q1	16 / 394	96%

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。

Journal Of Big Data中科院评价数据

中科院 2023年12月升级版

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, THEORY & METHODS 计算机：理论方法	2区

中科院 2022年12月升级版

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, THEORY & METHODS 计算机：理论方法	2区

Journal Of Big Data JCR评价数据（2023-2024年最新版）

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	8 / 143	94.8%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	14 / 143	90.56%

Journal Of Big Data历年数据统计

影响因子

中科院分区

Journal Of Big Data中国学者发文选摘

1、Click-through rate prediction model integrating user interest and multi-head attention mechanism
Author: Zhang, Wei; Han, Yahui; Yi, Baolin; Zhang, Zhaoli

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00688-6
2、Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma
Author: Wu, Changwu; Long, Wenyong; Qin, Chaoying; Wang, Xiangyu; Li, Yuzhe; Xiao, Kai; Li, Yue; Liu, Qing

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00686-8
3、Early prediction of MODS interventions in the intensive care unit using machine learning
Author: Liu, Chang; Yao, Zhenjie; Liu, Pengfei; Tu, Yanhui; Chen, Hu; Cheng, Haibo; Xie, Lixin; Xiao, Kun

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00719-2
4、Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Author: Adeoye, John; Hui, Liuling; Su, Yu-Xiong

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00703-w
5、RTiSR: a review-driven time interval-aware sequential recommendation method
Author: Shi, Xiaoyu; Liu, Quanliang; Bai, Yanan; Shang, Mingsheng

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00707-6
6、A semi-supervised short text sentiment classification method based on improved Bert model from unlabelled data
Author: Zou, Haochen; Wang, Zitao

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00710-x
7、A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
Author: Park, Jungryeol; Kwon, Sundong; Jeong, Seon-Phil

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00715-6
8、Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning
Author: Adeoye, John; Koohi-Moghadam, Mohamad; Choi, Siu-Wai; Zheng, Li-Wu; Lo, Anthony Wing Ip; Tsang, Raymond King-Yin; Chow, Velda Ling Yu; Akinshipo, Abdulwarith; Thomson, Peter; Su, Yu-Xiong

Journal: JOURNAL OF BIG DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1186/s40537-023-00714-7