Journal Of Big Data SCIE

國(guó)際簡(jiǎn)稱：J BIG DATA-GER 參考譯名：大數(shù)據(jù)雜志

主要研究方向：Computer Science-Information Systems 非預(yù)警期刊審稿周期： 13 Weeks

《大數(shù)據(jù)雜志》(Journal Of Big Data)是一本由Springer Nature出版的以Computer Science-Information Systems為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本開(kāi)放期刊，近三年沒(méi)有被列入預(yù)警名單。該期刊享有很高的科學(xué)聲譽(yù)，影響因子不斷增加，發(fā)行量也同樣高。

2區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
179 年發(fā)文量
8.6 IF影響因子
開(kāi)放 是否OA
1 issue/year 出版周期
English 出版語(yǔ)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
出版語(yǔ)言：English
是否OA：開(kāi)放
E-ISSN：2196-1115
出版地區(qū)：United Kingdom
是否預(yù)警：否
出版商：Springer Nature
出版周期：1 issue/year
開(kāi)源占比：0.9949
Gold OA文章占比：99.78%
OA被引用占比：1
出版國(guó)人文章占比：0.02
出版撤稿占比：
研究類文章占比：94.97%

Journal Of Big Data CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

17.8

2.068

3.853

學(xué)科類別	分區(qū)	排名	百分位
大類：Computer Science 小類：Computer Networks and Communications	Q1	11 / 395	97%
大類：Computer Science 小類：Hardware and Architecture	Q1	6 / 177	96%
大類：Computer Science 小類：Information Systems and Management	Q1	6 / 148	96%
大類：Computer Science 小類：Information Systems	Q1	16 / 394	96%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書(shū)籍章節(jié)和數(shù)據(jù)論文。

Journal Of Big Data中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	2區(qū)	COMPUTER SCIENCE, THEORY & METHODS 計(jì)算機(jī)：理論方法	2區(qū)

中科院 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	計(jì)算機(jī)科學(xué)	2區(qū)	COMPUTER SCIENCE, THEORY & METHODS 計(jì)算機(jī)：理論方法	2區(qū)

Journal Of Big Data JCR評(píng)價(jià)數(shù)據(jù)（2023-2024年最新版）

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	8 / 143	94.8%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	14 / 143	90.56%

Journal Of Big Data歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

Journal Of Big Data中國(guó)學(xué)者發(fā)文選摘

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