Machine Intelligence Research SCIE

國際簡稱：MACH INTELL RES 參考譯名：機器智能研究

主要研究方向：Multiple 非預警期刊審稿周期：

《機器智能研究》(Machine Intelligence Research)是一本由Chinese Academy of Sciences出版的以Multiple為研究特色的國際期刊，發(fā)表該領域相關的原創(chuàng)研究文章、評論文章和綜述文章，及時報道該領域相關理論、實踐和應用學科的最新發(fā)現(xiàn)，旨在促進該學科領域科學信息的快速交流。該期刊是一本未開放期刊，近三年沒有被列入預警名單。

4區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
55 年發(fā)文量
6.4 IF影響因子
未開放 是否OA
English 出版語言

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
出版語言：English
是否OA：未開放
E-ISSN：2731-5398
是否預警：否
出版商：Chinese Academy of Sciences
Gold OA文章占比：37.08%
研究類文章占比：89.09%

Machine Intelligence Research CiteScore評價數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

6.7

1.681

2.721

學科類別	分區(qū)	排名	百分位
大類：Mathematics 小類：Applied Mathematics	Q1	54 / 635	91%
大類：Mathematics 小類：Modeling and Simulation	Q1	42 / 324	87%
大類：Mathematics 小類：Control and Systems Engineering	Q1	78 / 321	75%
大類：Mathematics 小類：Computer Networks and Communications	Q1	99 / 395	75%
大類：Mathematics 小類：Computer Science Applications	Q2	211 / 817	74%
大類：Mathematics 小類：Signal Processing	Q2	35 / 131	73%
大類：Mathematics 小類：Computer Vision and Pattern Recognition	Q2	29 / 106	73%
大類：Mathematics 小類：Artificial Intelligence	Q2	115 / 350	67%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個指標。當年CiteScore 的計算依據(jù)是期刊最近4年（含計算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻數(shù)。例如，2022年的 CiteScore 計算方法為：2022年的 CiteScore =2019-2022年收到的對2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻數(shù)量注：文獻類型包括：文章、評論、會議論文、書籍章節(jié)和數(shù)據(jù)論文。

Machine Intelligence Research中科院評價數(shù)據(jù)

中科院 2023年12月升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	計算機科學	4區(qū)	AUTOMATION & CONTROL SYSTEMS 自動化與控制系統(tǒng) COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機：人工智能	4區(qū) 4區(qū)

Machine Intelligence Research JCR評價數(shù)據(jù)（2023-2024年最新版）

按JIF指標學科分區(qū)	收錄子集	分區(qū)	排名	百分位
學科：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	10 / 84	88.7%
學科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	34 / 197	83%

按JCI指標學科分區(qū)	收錄子集	分區(qū)	排名	百分位
學科：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	12 / 84	86.31%
學科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	36 / 198	82.07%

Machine Intelligence Research歷年數(shù)據(jù)統(tǒng)計

影響因子

中科院分區(qū)

Machine Intelligence Research中國學者發(fā)文選摘

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