Machine Vision And Applications

Machine Vision And Applications

机器视觉与应用

  • 4区 中科院分区
  • Q2 JCR分区

期刊简介

《Machine Vision And Applications》是由Springer Berlin Heidelberg出版社于1988年创办的英文国际期刊(ISSN: 0932-8092,E-ISSN: 1432-1769),该期刊长期致力于计算机:人工智能领域的创新研究,主要研究方向为工程技术-工程:电子与电气。作为SCIE收录期刊(JCR分区 Q2,中科院 4区),本刊采用OA未开放获取模式(OA占比0.1393...%),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100.00%%)。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125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

Machine Vision And Applications审稿周期约为 约6.5个月 。该刊近年未被列入国际预警名单,年发文量约125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
  • 125 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
4区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, CYBERNETICS 计算机:控制论 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气
4区 4区 4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
4区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, CYBERNETICS 计算机:控制论 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气
4区 4区 4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 Q3 111 / 197

43.9%

学科:COMPUTER SCIENCE, CYBERNETICS SCIE Q2 14 / 32

57.8%

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 170 / 352

51.8%

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 Q3 109 / 198

45.2%

学科:COMPUTER SCIENCE, CYBERNETICS SCIE Q2 10 / 32

70.31%

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 168 / 354

52.68%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:6.3 SJR:0.657 SNIP:1.142
学科类别 分区 排名 百分位
大类:Computer Science 小类:Computer Vision and Pattern Recognition Q2 30 / 106

72%

大类:Computer Science 小类:Computer Science Applications Q2 235 / 817

71%

大类:Computer Science 小类:Hardware and Architecture Q2 53 / 177

70%

大类:Computer Science 小类:Software Q2 130 / 407

68%

期刊发文

  • A method for high dynamic range 3D color modeling of objects through a color camera

    Author: Zhang, Yanan; Qiao, Dayong; Xia, Changfeng; Yang, Di; Fang, Shilei

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01355-1

  • Automatic cables segmentation from a substation device based on 3D point cloud

    Author: Yuan, Qianjin; Chang, Jing; Luo, Yong; Ma, Tianlei; Wang, Dongshu

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01358-y

  • SiamMMF: multi-modal multi-level fusion object tracking based on Siamese networks

    Author: Yang, Zhen; Huang, Peng; He, Dunyun; Cai, Zhongwang; Yin, Zhijian

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01354-2

  • RAU-Net: U-Net network based on residual multi-scale fusion and attention skip layer for overall spine segmentation

    Author: Yang, Zhaomin; Wang, Qi; Zeng, Jianchao; Qin, Pinle; Chai, Rui; Sun, Dong

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01360-4

  • Consensus similarity learning based on tensor nuclear norm

    Author: Tang, Rong; Lu, Gui-Fu

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01350-6

  • Visible-infrared person re-identification model based on feature consistency and modal indistinguishability

    Author: Sun, Jia; Li, Yanfeng; Chen, Houjin; Peng, Yahui; Zhu, Jinlei

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01368-w

  • LDNet: low-light image enhancement with joint lighting and denoising

    Author: Li, Yuhang; Liu, Tianyanshi; Fan, Jiaxin; Ding, Youdong

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01365-z

  • Human pose estimation based on lightweight basicblock

    Author: Li, Yanping; Liu, Ruyi; Wang, Xiangyang; Wang, Rui

    Journal: MACHINE VISION AND APPLICATIONS. 2023; Vol. 34, Issue 1, pp. -. DOI: 10.1007/s00138-022-01352-4