Nature Machine Intelligence

Nature Machine Intelligence

自然机器智能

  • 1区 中科院分区
  • Q1 JCR分区

期刊简介

《Nature Machine Intelligence》是由SPRINGERNATURE出版社创办的英文国际期刊(ISSN: 2522-5839,E-ISSN: 2522-5839),该期刊长期致力于计算机:人工智能领域的创新研究,主要研究方向为Multiple。作为SCIE收录期刊(JCR分区 Q1,中科院 1区),本刊采用OA未开放获取模式(OA占比0%),以发表计算机:人工智能领域等方向的原创性研究为核心(研究类文章占比95.35%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在129篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动计算机科学领域高水平交流平台。

投稿咨询

投稿提示

Nature Machine Intelligence审稿周期约为 。该刊近年未被列入国际预警名单,年发文量约129篇,录用竞争适中,主题需确保紧密契合计算机科学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 计算机科学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 129 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
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

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
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

按JIF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%

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 4 / 198

98.23%

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

99.11%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:36.9 SJR:5.94 SNIP:5.702
学科类别 分区 排名 百分位
大类:Computer Science 小类:Computer Networks and Communications Q1 2 / 395

99%

大类:Computer Science 小类:Software Q1 4 / 407

99%

大类:Computer Science 小类:Artificial Intelligence Q1 4 / 350

99%

大类:Computer Science 小类:Human-Computer Interaction Q1 3 / 145

98%

大类:Computer Science 小类:Computer Vision and Pattern Recognition Q1 3 / 106

97%

期刊发文

  • Mixed-modality speech recognition and interaction using a wearable artificial throat

    Author: Yang, Qisheng; Jin, Weiqiu; Zhang, Qihang; Wei, Yuhong; Guo, Zhanfeng; Li, Xiaoshi; Yang, Yi; Luo, Qingquan; Tian, He; Ren, Tian-Ling

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 2, pp. 169-180. DOI: 10.1038/s42256-023-00616-6

  • Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning

    Author: Cao, Zhong; Jiang, Kun; Zhou, Weitao; Xu, Shaobing; Peng, Huei; Yang, Diange

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 2, pp. 145-158. DOI: 10.1038/s42256-023-00610-y

  • Echo state graph neural networks with analogue random resistive memory arrays

    Author: Wang, Shaocong; Li, Yi; Wang, Dingchen; Zhang, Woyu; Chen, Xi; Dong, Danian; Wang, Songqi; Zhang, Xumeng; Lin, Peng; Gallicchio, Claudio; Xu, Xiaoxin; Liu, Qi; Cheng, Kwang-Ting; Wang, Zhongrui; Shang, Dashan; Liu, Ming

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 2, pp. 104-+. DOI: 10.1038/s42256-023-00609-5

  • Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots

    Author: Hu, Delin; Giorgio-Serchi, Francesco; Zhang, Shiming; Yang, Yunjie

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 3, pp. 261-272. DOI: 10.1038/s42256-023-00622-8

  • Parameter-efficient fine-tuning of large-scale pre-trained language models

    Author: Ding, Ning; Qin, Yujia; Yang, Guang; Wei, Fuchao; Yang, Zonghan; Su, Yusheng; Hu, Shengding; Chen, Yulin; Chan, Chi-Min; Chen, Weize; Yi, Jing; Zhao, Weilin; Wang, Xiaozhi; Liu, Zhiyuan; Zheng, Hai-Tao; Chen, Jianfei; Liu, Yang; Tang, Jie; Li, Juanzi; Sun, Maosong

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 3, pp. 220-+. DOI: 10.1038/s42256-023-00626-4

  • Pan-Peptide Meta Learning for T-cell receptor-antigen binding recognition

    Author: Gao, Yicheng; Gao, Yuli; Fan, Yuxiao; Zhu, Chengyu; Wei, Zhiting; Zhou, Chi; Chuai, Guohui; Chen, Qinchang; Zhang, He; Liu, Qi

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 3, pp. 236-249. DOI: 10.1038/s42256-023-00619-3

  • Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning

    Author: Peng, Xingang; Lei, Yipin; Feng, Peiyuan; Jia, Lemei; Ma, Jianzhu; Zhao, Dan; Zeng, Jianyang

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 4, pp. 395-+. DOI: 10.1038/s42256-023-00634-4

  • Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery

    Author: Wang, Xiaoqi; Cheng, Yingjie; Yang, Yaning; Yu, Yue; Li, Fei; Peng, Shaoliang

    Journal: NATURE MACHINE INTELLIGENCE. 2023; Vol. 5, Issue 4, pp. 445-456. DOI: 10.1038/s42256-023-00640-6