Machine Vision And Applications

SCI SCIE

国际简称：MACH VISION APPL 参考译名：机器视觉与应用

主要研究方向：工程技术-工程：电子与电气非预警期刊审稿周期：约6.5个月

《机器视觉与应用》(Machine Vision And Applications)是一本由Springer Berlin Heidelberg出版的以工程技术-工程：电子与电气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。

4区中科院分区
Q3 JCR分区
134 年发文量
2 IF影响因子
未开放 是否OA
58 H-index
1988 创刊年份
Bimonthly 出版周期
English 出版语言

Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal.

Particular emphasis is placed on engineering and technology aspects of image processing and computer vision.

The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.

[ 查看全部 ]

投稿咨询加急咨询

Machine Vision And Applications期刊信息

ISSN：0932-8092
出版语言：English
是否OA：未开放
E-ISSN：1432-1769
出版地区：UNITED STATES
是否预警：否
出版商：Springer Berlin Heidelberg
出版周期：Bimonthly
创刊时间：1988
开源占比：0.1107
Gold OA文章占比：20.10%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：100.00%

Machine Vision And Applications CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

4.9

0.496

0.789

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Vision and Pattern Recognition	Q2	55 / 183	70%
大类：Computer Science 小类：Computer Science Applications	Q2	382 / 1022	62%
大类：Computer Science 小类：Hardware and Architecture	Q2	92 / 245	62%
大类：Computer Science 小类：Software	Q2	204 / 503	59%

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 Vision And Applications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	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 3区

Machine Vision And Applications 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：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	148 / 210	29.8
学科：COMPUTER SCIENCE, CYBERNETICS	SCIE	Q3	23 / 34	33.8
学科：ENGINEERING, ELECTRICAL & ELECTRONIC	SCIE	Q3	243 / 369	34.3
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	141 / 210	33.1
学科：COMPUTER SCIENCE, CYBERNETICS	SCIE	Q3	21 / 34	39.71
学科：ENGINEERING, ELECTRICAL & ELECTRONIC	SCIE	Q3	226 / 371	39.22

Machine Vision And Applications历年数据统计

影响因子

中科院分区

Machine Vision And Applications中国学者发文选摘

1、Local feature extraction method based on feature aggregation, mixed convolution and attentio
Author: Qin, Lunming; Quan, Mengqian; Cui, Haoyang; Xue, Liang; Bian, Houqin; Wang, Xi

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01820-1
2、Edge deployable lightweight framework for real-time driver safety system with integrated lane departure and traffic sign recognitio
Author: Qureshi, Hassaan Ali; Hussain, Danish; Hassan, Ali; Safdar, Aon; Aqeel, Anas Bin; Rafique, Muhammad; Riaz, Zohaib; Hussain, Farhan

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01816-x
3、Object shape differentiation and texture rendering for neural implicit SLA
Author: Lu, Jiaming; Liu, Ruyu; Zhang, Jianhua; Liu, Xiaofeng; Cheng, Xu

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01805-0
4、Low-light facial micro-expression recognitio
Author: Li, Zixuan; Wang, Yongfang; Yan, Jiaan; He, Haoran

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01819-8
5、Improving visual-inertial SLAM robustness by adaptive gamma correction and edge-limited feature extractio
Author: Song, Xingguo; Wang, Mian; Yu, Qiulin; Wang, Weiliang

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01814-z
6、FMU-Net: Mamba-driven frequency and uncertainty aware network for polyp segmentatio
Author: Zhu, Lingyun; Yi, Hongyu

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01808-x
7、Star-vmamba: VMamba-based spatiotemporal adaptive refinement network for remote sensing image change detectio
Author: Pu, Ying; Yang, Yue; Zhao, Qijun; Tang, Song

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01813-0
8、DKM-Net: self-supervised 3D occupancy prediction via multi-scale dynamic kernel metho
Author: Zhang, Huipeng; Yu, Xuyi; Mei, Kuizhi

Journal: MACHINE VISION AND APPLICATIONS. 2026; Vol. 37, Issue 3, pp. -. DOI: 10.1007/s00138-026-01806-z