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

《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。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

1区中科院分区
Q1 JCR分区
70 年发文量
10 IF影响因子
未开放 是否OA

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
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：24.74%
研究类文章占比：85.71%

Machine Intelligence Research CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

17.8

1.894

3.072

学科类别	分区	排名	百分位
大类：Mathematics 小类：Modeling and Simulation	Q1	2 / 397	99%
大类：Mathematics 小类：Applied Mathematics	Q1	9 / 680	98%
大类：Mathematics 小类：Computer Networks and Communications	Q1	12 / 568	97%
大类：Mathematics 小类：Signal Processing	Q1	7 / 203	96%
大类：Mathematics 小类：Control and Systems Engineering	Q1	13 / 390	96%
大类：Mathematics 小类：Computer Science Applications	Q1	37 / 1022	96%
大类：Mathematics 小类：Computer Vision and Pattern Recognition	Q1	9 / 183	95%
大类：Mathematics 小类：Artificial Intelligence	Q1	33 / 570	94%

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

《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	1区	AUTOMATION & CONTROL SYSTEMS 自动化与控制系统 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	1区 1区

Machine Intelligence Research 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：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	5 / 88	94.9
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	24 / 210	88.8
学科：AUTOMATION & CONTROL SYSTEMS	ESCI	Q1	9 / 88	90.34
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	ESCI	Q1	31 / 210	85.48

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、Multimodal Deception Detection: A Surve
Author: Zhang, Jiayu; Lin, Xun; Huang, Jiajian; Ye, Shuo; Guo, Xiaobao; Zhu, Dongliang; Hu, Ruimin; Guo, Dan; Liang, Yanyan; Yu, Zitong; Cao, Xiaochun

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 284-307. DOI: 10.1007/s11633-025-1625-x
2、IKA2: Internal Knowledge Adaptive Activation for Robust Recognition in Complex Scenario
Author: Ye, Shuo; Chen, Lixin; Li, Qiaoqi; Zhang, Jiayu; Chen, Chaomeng; Xia, Shutao

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 429-443. DOI: 10.1007/s11633-025-1618-5
3、Micro-gesture Recognition: A Comprehensive Survey of Datasets, Methods, and Challenge
Author: Wang, Taorui; Lin, Xun; Xu, Yong; Ye, Qilang; Guo, Dan; Escalera, Sergio; Khoriba, Ghada; Yu, Zitong

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 308-330. DOI: 10.1007/s11633-025-1629-x
4、A Clinically Aligned Local-global Mutual Learning Framework for Interpretable Pneumoconiosis Diagnosi
Author: Wang, Jiarui; Wang, Xuerong; Yang, Le; Wang, Binglu

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 444-466. DOI: 10.1007/s11633-025-1619-4
5、Unveiling Hidden Psychological States: Synergistic Fusion of Amplified Color and Motion from Vide
Author: Ru, Yiwei; Li, Qi; Liu, Yongji; Wu, Huijia; He, Zhaofeng; Sun, Zhenan

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 396-408. DOI: 10.1007/s11633-025-1601-1
6、CM-CLIP: Few-shot Cross-modal Generalization for Face Anti-spoofing via Prompt Learnin
Author: Ma, Hui; Liu, Ajian; Lin, Xun; Escalante, Hugo Jair; Guyon, Isabelle; Wan, Jun; Lei, Zhen; Liang, Yanyan

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 366-382. DOI: 10.1007/s11633-025-1575-z
7、StegaFFD: Privacy-preserving Face Forgery Detection via Fine-grained Steganographic Domain Liftin
Author: Ma, Guoqing; Lin, Xun; Ma, Hui; Liu, Ajian; Liu, Yizhong; Tang, Wenzhong; Yu, Shan; Kong, Chenqi; Yu, Yi

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 409-428. DOI: 10.1007/s11633-025-1612-y
8、From Uni- to Multi-modal: Progressive Multi-source Domain Adaptation with Gradient Disentangling for Audio-visual Deception Detectio
Author: Lin, Ronghao; Xiong, Aolin; He, Qiaolin; Mai, Sijie; Huang, Li; Hu, Haifeng

Journal: MACHINE INTELLIGENCE RESEARCH. 2026; Vol. 23, Issue 2, pp. 484-500. DOI: 10.1007/s11633-025-1630-x