Machine Intelligence Research SCIE

国际简称：MACH INTELL RES 参考译名：机器智能研究

主要研究方向：Multiple 非预警期刊审稿周期：

《机器智能研究》(Machine Intelligence Research)是一本由Chinese Academy of Sciences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。

4区中科院分区
Q1 JCR分区
55 年发文量
6.4 IF影响因子
未开放 是否OA
English 出版语言

Machine Intelligence Research, as an academic journal dedicated to promoting the development of the field of machine intelligence, reflects a positive response to national strategic needs and an open attitude towards global academic perspectives. This journal not only provides a platform for domestic and foreign researchers to showcase the latest research results, but also promotes academic exchanges and technological progress in key fields such as machine learning, deep learning, natural language processing, and computer vision by publishing high-quality original papers, reviews, and comments.

The publication content of the journal not only covers the basic theories of machine intelligence, but also pays special attention to cutting-edge innovations in this field, such as intelligent algorithms, big data processing, machine perception and cognition, etc. Through in-depth exploration of these contents, the journal aims to provide theoretical support and practical guidance for the technological progress of artificial intelligence, while also providing decision-making references and research perspectives for policy makers, industry experts, and academic researchers.

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Machine Intelligence Research期刊信息

ISSN：2731-538X
出版语言：English
是否OA：未开放
E-ISSN：2731-5398
是否预警：否
出版商：Chinese Academy of Sciences
Gold OA文章占比：37.08%
研究类文章占比：89.09%

Machine Intelligence Research CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

6.7

1.681

2.721

学科类别	分区	排名	百分位
大类：Mathematics 小类：Applied Mathematics	Q1	54 / 635	91%
大类：Mathematics 小类：Modeling and Simulation	Q1	42 / 324	87%
大类：Mathematics 小类：Control and Systems Engineering	Q1	78 / 321	75%
大类：Mathematics 小类：Computer Networks and Communications	Q1	99 / 395	75%
大类：Mathematics 小类：Computer Science Applications	Q2	211 / 817	74%
大类：Mathematics 小类：Signal Processing	Q2	35 / 131	73%
大类：Mathematics 小类：Computer Vision and Pattern Recognition	Q2	29 / 106	73%
大类：Mathematics 小类：Artificial Intelligence	Q2	115 / 350	67%

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。

Machine Intelligence Research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	4区	AUTOMATION & CONTROL SYSTEMS 自动化与控制系统 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	4区 4区

Machine Intelligence Research 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：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	10 / 84	88.7%
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	34 / 197	83%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	12 / 84	86.31%
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	36 / 198	82.07%

Machine Intelligence Research历年数据统计

影响因子

中科院分区

Machine Intelligence Research中国学者发文选摘

1、YuNet: A Tiny Millisecond-level Face Detector
Author: Wu, Wei; Peng, Hanyang; Yu, Shiqi

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-023-1423-y
2、Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects
Author: Jiang, Rui; Zhu, Ruixiang; Su, Hu; Li, Yinlin; Xie, Yuan; Zou, Wei

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1378-4
3、AI in Human-computer Gaming: Techniques, Challenges and Opportunities
Author: Yin, Qi-Yue; Yang, Jun; Huang, Kai-Qi; Zhao, Mei-Jing; Ni, Wan-Cheng; Liang, Bin; Huang, Yan; Wu, Shu; Wang, Liang

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1384-6
4、A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
Author: Kwan, Wai-Chung; Wang, Hong-Ru; Wang, Hui-Min; Wong, Kam-Fai

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1347-y
5、Dynamic Movement Primitives Based Robot Skills Learning
Author: Kong, Ling-Huan; He, Wei; Chen, Wen-Shi; Zhang, Hui; Wang, Yao-Nan

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1346-z
6、DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index
Author: Zhou, Yu-Jia; Yao, Jing; Dou, Zhi-Cheng; Wu, Ledell; Wen, Ji-Rong

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1373-9
7、ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding
Author: Wang, Kui-Kui; Yang, Gong-Ping; Yang, Lu; Huang, Yu-Wen; Yin, Yi-Long

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1345-0
8、Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition
Author: Liu, Chun-Ying; Yang, Gong-Ping; Huang, Yu-Wen; Huang, Fu-Xian

Journal: MACHINE INTELLIGENCE RESEARCH. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11633-022-1366-8