首页 国际期刊 计算机科学期刊 期刊详情(非官网)
400-808-1701

Nature Machine Intelligence

Nature Machine Intelligence杂志,由SPRINGERNATURE出版,12 issues per year,出版语言English,ISSN:2522-5839,E-ISSN:2522-5839。

投稿咨询
Nature Machine Intelligence
Nature Machine Intelligence
Nature Machine Intelligence
SCI SCIE EI

杂志介绍

JCR分区
Q1
中科院分区
1区
影响因子
29.8
CiteScore
40.9
期刊收录
SCI、SCIE、EI

Nature Machine Intelligence(中文译名:《自然机器智能》),ISSN:2522-5839,EISSN:2522-5839,是SPRINGERNATURE出版的国际性学术期刊,以12 issues per year形式稳定发行,2026年总发文量约154篇。该刊采用非OA开放访问,学科归属为Multiple。该刊是计算机科学、计算机人工智能领域的国际权威刊物,已被SCI(科学引文索引)、SCIE(科学引文索引扩展版)、EI(工程索引)等国际主流学术数据库收录。2026年期刊影响因子达29.8,2025年期刊CiteScore为40.9,2025年期刊自引率约1.7%,在中科院期刊分区体系中位列计算机科学大类1区TOP 期刊,在所属学科领域具备高学术影响力与国际认可度。Nature Machine Intelligence长期聚焦计算机科学、计算机人工智能及相关产业的技术应用前沿,在稿件录用评判中,该刊将创新性与前沿性作为核心遴选标准,重点收录能够对计算机科学、计算机人工智能领域的落地与发展产生实质性推动价值的研究成果。

从全球发文格局来看,USAEngland、GERMANY (FED REP GER)、CHINA MAINLAND、Switzerland、Australia、Canada等为核心发文国家与地区;ETH ZURICHUNIVERSITY OF CAMBRIDGE、HARVARD UNIVERSITY、UNIVERSITY OF CALIFORNIA SYSTEM、CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS)、IMPERIAL COLLEGE LONDON、STANFORD UNIVERSITY等高校与科研机构是期刊的主要发文单位。

期刊评价

名词解释:

影响因子(Impact Factor, IF):指该期刊前两年发表的文章,在第三年的平均被引用次数。它反映了期刊的近期平均影响力和热度。

中科院分区:中科院分区表是国内主流的学术期刊分级评价工具,核心意义是建立跨学科可比的统一评价标尺,为职称评审、学位授予、科研立项等科研管理工作提供标准化量化依据,同时帮助科研人员筛选优质期刊、规避学术风险,适配国内本土化的科研评价需求。

期刊分区表

《新锐期刊分区表》(2026年3月发布)

大类学科 小类学科 Top期刊 综述期刊
计算机科学
1区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
1区 1区

期刊分区表(2025年3月升级版)

大类学科 小类学科 Top期刊 综述期刊
计算机科学
1区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
1区 1区

期刊分区表(2023年12月升级版)

大类学科 小类学科 Top期刊 综述期刊
计算机科学
1区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
1区 1区

JCR分区

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 SCIE Q1 2 / 210

99.3

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 1 / 185

99.7

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 5 / 210

97.86

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 3 / 185

98.65

2023-2024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 SCIE Q1 3 / 197

98.7

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 1 / 169

99.7

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 4 / 198

98.23

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 2 / 169

99.11


中国学者近期发文

1
Two-dimensional geometric template diffusion for boosting single-sequence protein structure predictio

Author:Wang, Xudong; Zhang, Tong; Cui, Zhen; Guo, Xu; Wang, Fuyun; Wang, Yuanzhi; Cai, Xing; Zheng, Wenming

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. 8, Issue 4, pp. -. DOI: 10.1038/s42256-026-01210-2

2
Programmable RNA translation through deep learning-driven IRES discovery and de novo generatio

Author:Chu, Yanyi; Yin, Di; Yu, Dan; Xu, Guangxue; Zhang, Junze; Wang, Xiaotong; Shen, Yue; Li, Yupeng; Zhao, Ning; Zhu, Yi; Zhang, Jason; Goodarzi, Hani; Wang, Mengdi; Cong, Le

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. 8, Issue 4, pp. -. DOI: 10.1038/s42256-026-01213-z

3
Conditional diffusion with locality-aware modal alignment for generating diverse protein conformational ensemble

Author:Wang, Baoli; Wang, Chenglin; Chen, Jingyang; Liu, Danlin; Sun, Changzhi; Zhang, Jie; Zhang, Kai; Li, Honglin

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. 8, Issue 3, pp. 415-434. DOI: 10.1038/s42256-026-01198-9

4
Reinforcement learning-based design of sequential drug treatment targeting the evolving tumour landscape with SequenT

Author:Chen, Xiaohan; Deng, Yue; Yang, Xingbo; Zhang, Ying; Huang, Yuting; Li, Shuxian; Yang, Hong; Shi, Qiongyu; Wu, Siqi; Chen, Shaoqi; Jin, Xuan; Xing, Feiyang; Zhang, Chen; Gao, Yicheng; Yang, Degang; Chuai, Guohui; Ding, Jian; Huang, Xun; Liu, Qi

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. 8, Issue 3, pp. -. DOI: 10.1038/s42256-026-01192-1

5
A unified predictive and generative solution for liquid electrolyte formulatio

Author:Yang, Zhenze; Wu, Yifan; Han, Xu; Zhang, Ziqing; Lai, Haoen; Mu, Zhenliang; Zheng, Tianze; Liu, Siyuan; Pu, Zhichen; Wang, Zhi; Yu, Zhiao; Gong, Sheng; Yan, Wen

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. , Issue , pp. -. DOI: 10.1038/s42256-025-01173-w

6
A federated graph learning method to realize multi-party collaboration for molecular discover

Author:Zhang, Liang; Zhang, Juan; Huang, Rui; Wang, Yiwen; Liu, Linjing; Zhang, Yanyong; Chen, Kong; Jiang, Jun; Wu, Yuen

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. , Issue , pp. -. DOI: 10.1038/s42256-026-01184-1

7
What matters in building vision-language-action models for generalist robot

Author:Li, Xinghang; Li, Peiyan; Qian, Long; Liu, Minghuan; Wang, Dong; Liu, Jirong; Kang, Bingyi; Ma, Xiao; Wang, Xinlong; Guo, Di; Kong, Tao; Zhang, Hanbo; Liu, Huaping

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. , Issue , pp. -. DOI: 10.1038/s42256-025-01168-7

8
Proposing and solving olympiad geometry with guided tree searc

Author:Zhang, Chi; Song, Jiajun; Li, Siyu; Liang, Yitao; Ma, Yuxi; Wang, Wei; Zhu, Yixin; Zhu, Song-Chun

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. , Issue , pp. -. DOI: 10.1038/s42256-025-01164-x

9
Modelling drug-induced cellular perturbation responses with a biologically informed dual-branch transforme

Author:Guo, Yue; Zhang, Hao; Hu, Haitao; Wu, Jialu; Cao, Ji; Hsieh, Chang-Yu; Yang, Bo

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. , Issue , pp. -. DOI: 10.1038/s42256-025-01165-w

10
Preconditioned inexact stochastic ADMM for deep model

Author:Zhou, Shenglong; Wang, Ouya; Luo, Ziyan; Zhu, Yongxu; Li, Geoffrey Ye

Journal: NATURE MACHINE INTELLIGENCE. 2026; Vol. 8, Issue 2, pp. 234-245. DOI: 10.1038/s42256-026-01182-3


在线咨询

Nature Machine Intelligence

国际简称:NAT MACH INTELL参考译名:自然机器智能

年发文量:154 CiteScore:40.9 是否预警:否 Gold OA文章占比:37.47% 研究类文章占比:89.61%

杂志社联系方式:CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW

Nature Machine Intelligence