Big Data And Cognitive Computing

SCIE

国际简称：Big Data Cogn Comput 参考译名：大数据与认知计算

主要研究方向：Business, Management and Accounting-Management Information Systems 非预警期刊审稿周期：11 Weeks

《大数据与认知计算》(Big Data And Cognitive Computing)是一本由Multidisciplinary Digital Publishing Institute (MDPI)出版的以Business, Management and Accounting-Management 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。

3区中科院分区
Q1 JCR分区
336 年发文量
5.3 IF影响因子
未开放 是否OA
English 出版语言

Big Data And Cognitive Computing is an international peer-reviewed journal dedicated to the fields of big data technology and cognitive computing. Its aim is to provide a platform for researchers, engineers, scientists, and industry experts to explore and share the latest research results and development trends in big data processing, analysis, and cognitive computing technology. The magazine is committed to publishing high-quality research papers, covering key technologies and challenges throughout the entire process from data collection, analysis, to application. This includes but is not limited to the application of cutting-edge technologies such as data mining, machine learning, artificial intelligence, and deep learning in processing massive amounts of data. This journal pays special attention to innovative methods and technologies that can address the complexity and scale of big data processing, while also emphasizing the important role of cognitive computing in understanding and simulating human thinking processes.

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Big Data And Cognitive Computing期刊信息

ISSN：2504-2289
出版语言：English
是否OA：未开放
出版地区：Switzerland
是否预警：否
出版商：Multidisciplinary Digital Publishing Institute (MDPI)
开源占比：1
Gold OA文章占比：100.00%
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：92.56%

Big Data And Cognitive Computing CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

11.4

1.033

1.906

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Science Applications	Q1	116 / 1022	88%
大类：Computer Science 小类：Information Systems	Q1	60 / 519	88%
大类：Computer Science 小类：Artificial Intelligence	Q1	78 / 570	86%
大类：Computer Science 小类：Management Information Systems	Q1	21 / 143	85%

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。

Big Data And Cognitive Computing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 COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法	3区 3区 2区

Big Data And Cognitive Computing 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	Q2	62 / 210	70.7
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q1	62 / 266	76.9
学科：COMPUTER SCIENCE, THEORY & METHODS	ESCI	Q1	24 / 146	83.9
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q2	62 / 210	70.71
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q2	93 / 266	65.23
学科：COMPUTER SCIENCE, THEORY & METHODS	ESCI	Q1	36 / 147	75.85

Big Data And Cognitive Computing历年数据统计

影响因子

中科院分区

Big Data And Cognitive Computing中国学者发文选摘

1、Fuzz Driver Generation: A Survey and Outlook from the Perspective of Data Source
Author: Feng, Xiao; Lu, Shuaibing; Gu, Taotao; Nie, Yuanping; Yan, Qian; Yang, Mucheng; Chen, Jinyang; Kuang, Xiaohui

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 4, pp. -. DOI: 10.3390/bdcc10040129
2、Exploring the Mechanisms Influencing Graduate Students' Adoption of Generative AI: Insights from the Technology Acceptance Mode
Author: Chen, Qing; Xue, Yujie; Lin, Jie; Zhu, Chang

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 4, pp. -. DOI: 10.3390/bdcc10040108
3、Multi-Scale Optimal Transport Transformer for Efficient Exemplar-Based Image Translatio
Author: Zhang, Jinsong; Li, Xiongzheng; Lin, Yuqin

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 4, pp. -. DOI: 10.3390/bdcc10040107
4、H2Avatar: Expressive Whole-Body Avatars from Monocular Video via Hierarchical Geometry and Hybrid Renderin
Author: Zhang, Jinsong; Guan, Cheng; Lin, Zhihua; Lin, Yuqin

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 4, pp. -. DOI: 10.3390/bdcc10040105
5、Enhanced Schema Linking with Large Language Models via Self-Verification and Value Hint
Author: Ma, Linfei; Wei, Dexing; Li, Xiangpeng; Wen, Feng; Zhang, Haisu

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 4, pp. -. DOI: 10.3390/bdcc10040104
6、A Dynamic Prompt-Based Logic-Aided Compliance Checke
Author: Sheng, Wenxi; Wei, Chi; Zhang, Yinuo; Zhang, Bowen; Sun, Jingyun

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 3, pp. -. DOI: 10.3390/bdcc10030095
7、Generative AI and the Foundation Model Era: A Comprehensive Revie
Author: Elhanashi, Abdussalam; Essahraui, Siham; Dini, Pierpaolo; Paolini, Davide; Zheng, Qinghe; Saponara, Sergio

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 3, pp. -. DOI: 10.3390/bdcc10030094
8、Data-Driven Cognitive Early Warning for Goaf Spontaneous Combustion: An Edge-Deployed RBF Network with Real-Time Multisensor Analytic
Author: Cheng, Gang; Pei, Hailin; Chen, Xiaokang; Pang, Xiaorong; Sun, Renzheng

Journal: BIG DATA AND COGNITIVE COMPUTING. 2026; Vol. 10, Issue 3, pp. -. DOI: 10.3390/bdcc10030091