Journal Of Manufacturing Systems

Journal Of Manufacturing Systems

制造系统杂志

  • 1区 中科院分区
  • Q1 JCR分区

期刊简介

《Journal Of Manufacturing Systems》是由Elsevier出版社于1999年创办的英文国际期刊(ISSN: 0278-6125,E-ISSN: 1878-6642),该期刊长期致力于工程:制造领域的创新研究,主要研究方向为工程技术-工程:工业。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0.0490...%),以发表工程:制造领域等方向的原创性研究为核心(研究类文章占比86.57%%)。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201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,为学者提供推动工程技术领域高水平交流平台。

投稿咨询

投稿提示

Journal Of Manufacturing Systems审稿周期约为 约6.0个月 。该刊近年未被列入国际预警名单,年发文量约201篇,录用竞争适中,主题需确保紧密契合工程技术前沿。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。

  • 工程技术 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 201 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
工程技术
1区
ENGINEERING, MANUFACTURING 工程:制造 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 ENGINEERING, INDUSTRIAL 工程:工业
1区 1区 2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
工程技术
1区
ENGINEERING, INDUSTRIAL 工程:工业 ENGINEERING, MANUFACTURING 工程:制造 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学
2区 2区 2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:ENGINEERING, INDUSTRIAL SCIE Q1 1 / 69

99.3%

学科:ENGINEERING, MANUFACTURING SCIE Q1 3 / 68

96.3%

学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE SCIE Q1 1 / 106

99.5%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, INDUSTRIAL SCIE Q1 4 / 69

94.93%

学科:ENGINEERING, MANUFACTURING SCIE Q1 2 / 68

97.79%

学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE SCIE Q1 2 / 106

98.58%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:23.3 SJR:3.168 SNIP:3.368
学科类别 分区 排名 百分位
大类:Computer Science 小类:Hardware and Architecture Q1 2 / 177

99%

大类:Computer Science 小类:Industrial and Manufacturing Engineering Q1 5 / 384

98%

大类:Computer Science 小类:Control and Systems Engineering Q1 6 / 321

98%

大类:Computer Science 小类:Software Q1 11 / 407

97%

期刊发文

  • Human-machine collaborative additive manufacturing

    Author: Xiong, Yi; Tang, Yunlong; Kim, Samyeon; Rosen, David W.

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 82-91. DOI: 10.1016/j.jmsy.2022.12.004

  • Toward fast 3D human activity recognition: A refined feature based on minimum joint freedom model (Mint)

    Author: Liu, Tingyu; Weng, Chenyi; Jiao, Lei; Huang, Jun; Wang, Xiaoyu; Ni, Zhonghua; Wang, Baicun

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 127-141. DOI: 10.1016/j.jmsy.2022.11.009

  • Compound fault diagnosis for industrial robots based on dual-transformer networks

    Author: Chen, Chong; Liu, Chao; Wang, Tao; Zhang, Ao; Wu, Wenhao; Cheng, Lianglun

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 163-178. DOI: 10.1016/j.jmsy.2022.12.006

  • An energy-efficient multi-objective scheduling for flexible job-shop-type remanufacturing system

    Author: Zhang, Wenkang; Zheng, Yufan; Ahmad, Rafiq

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 211-232. DOI: 10.1016/j.jmsy.2022.12.008

  • In-situ fault diagnosis for the harmonic reducer of industrial robots via multi-scale mixed convolutional neural networks

    Author: He, Yiming; Chen, Jihong; Zhou, Xing; Huang, Shifeng

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 233-247. DOI: 10.1016/j.jmsy.2022.12.001

  • A new quantitative digital twin maturity model for high-end equipment

    Author: Hu, Weifei; Fang, Jianhao; Zhang, Tongzhou; Liu, Zhenyu; Tan, Jianrong

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 66, Issue , pp. 248-259. DOI: 10.1016/j.jmsy.2022.12.012

  • Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear

    Author: Xiao, Qinge; Yang, Zhile; Zhang, Yingfeng; Zheng, Pai

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 67, Issue , pp. 80-96. DOI: 10.1016/j.jmsy.2023.01.005

  • An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration

    Author: Zhou, Huiying; Yang, Geng; Wang, Baicun; Li, Xingyu; Wang, Ruohan; Huang, Xiaoyan; Wu, Haiteng; Wang, Xi Vincent

    Journal: JOURNAL OF MANUFACTURING SYSTEMS. 2023; Vol. 67, Issue , pp. 97-110. DOI: 10.1016/j.jmsy.2023.01.007