Journal Of Big Data

Journal Of Big Data

大数据杂志

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Journal Of Big Data》是由Springer Nature出版社创办的英文国际期刊(ISSN: 2196-1115,E-ISSN: 2196-1115),该期刊长期致力于计算机:理论方法领域的创新研究,主要研究方向为Computer Science-Information Systems。作为SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA开放获取模式(OA占比1%),以发表计算机:理论方法领域等方向的原创性研究为核心(研究类文章占比94.97%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在179篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动计算机科学领域高水平交流平台。

投稿咨询

投稿提示

Journal Of Big Data审稿周期约为 13 Weeks 。该刊近年未被列入国际预警名单,年发文量约179篇,录用竞争适中,主题需确保紧密契合计算机科学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 计算机科学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 179 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
2区
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法
2区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
2区
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法
2区

JCR分区

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%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:17.8 SJR:2.068 SNIP: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%

期刊发文

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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