Mechanics & Industry

SCI SCIE

国际简称：MECH IND 参考译名：机械与工业

主要研究方向：ENGINEERING, MECHANICAL-MECHANICS 非预警期刊审稿周期：>12周，或约稿

《机械与工业》(Mechanics & Industry)是一本由EDP Sciences出版的以ENGINEERING, MECHANICAL-MECHANICS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
Q4 JCR分区
38 年发文量
1.3 IF影响因子
未开放 是否OA
11 H-index
2000 创刊年份
6 issues/year 出版周期
Multi-Language 出版语言

An International Journal on Mechanical Sciences and Engineering Applications

With papers from industry, Research and Development departments and academic institutions, this journal acts as an interface between research and industry, coordinating and disseminating scientific and technical mechanical research in relation to industrial activities.

Targeted readers are technicians, engineers, executives, researchers, and teachers who are working in industrial companies as managers or in Research and Development departments, technical centres, laboratories, universities, technical and engineering schools. The journal is an AFM (Association Française de Mécanique) publication.

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Mechanics & Industry期刊信息

ISSN：2257-7777
出版语言：Multi-Language
是否OA：未开放
E-ISSN：2257-7750
出版地区：FRANCE
是否预警：否
出版商：EDP Sciences
出版周期：6 issues/year
创刊时间：2000
开源占比：0.9581
Gold OA文章占比：100.00%
OA被引用占比：0.1418...
出版国人文章占比：0.2
出版撤稿占比：0
研究类文章占比：100.00%

Mechanics & Industry CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

2.2

0.28

0.558

学科类别	分区	排名	百分位
大类：Engineering 小类：Industrial and Manufacturing Engineering	Q3	232 / 425	45%
大类：Engineering 小类：Mechanical Engineering	Q3	433 / 740	41%
大类：Engineering 小类：General Materials Science	Q3	326 / 475	31%

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。

Mechanics & Industry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	工程技术	4区	ENGINEERING, MECHANICAL 工程：机械 MECHANICS 力学	4区 4区

Mechanics & Industry 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：ENGINEERING, MECHANICAL	SCIE	Q4	143 / 184	22.6
学科：MECHANICS	SCIE	Q4	134 / 172	22.4
学科：ENGINEERING, MECHANICAL	SCIE	Q4	144 / 184	22.01
学科：MECHANICS	SCIE	Q4	140 / 172	18.9

Mechanics & Industry历年数据统计

影响因子

中科院分区

Mechanics & Industry中国学者发文选摘

1、Mechanical characteristic failure analysis and intelligent diagnosis method of filter bank circuit breakers in UHVDC project
Author: Wang, Jiayi; Sha, Sheng; Long, Zhenze; He, Yuhang; Luo, Xinyu; Zhou, Dianbo; Zhang, Jing

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026011
2、Hydrogen-bond regulated NADES lubricants enable ultra-low wear in high-speed ball screw pair
Author: Yuan, Lei; Wang, Zhaoyang; Zhou, Changguang; Fillon, Michel; Wang, Meng; Wang, Yibiao; Wentao, Bi; Zhang, Wenling

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026012
3、Multi-objective optimization of free-form texture shape formed by Bezier curves for mechanical seal
Author: Ding, Chong; Wang, Yelin; Gong, Liangliang; Wang, Xiuying

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026013
4、Dynamic characteristics of floating offshore multi-turbine platforms with flexible constraint
Author: Zhu, Jiangfeng; Zhao, Qian

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2025035
5、Automatic modification and repair of three-dimensional models in intelligent manufacturing based on reinforcement learnin
Author: Tan, A. Zhongxuan; Liu, B. Shilong

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026005
6、Collaborative optimization system for in dustrial intelligent manufacturing and digital electromechanical systems based on artificial intelligence technolog
Author: Liu, Shuqiang; Li, Zhancang

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026004
7、Machine learning-based method to improve equipment selection and time prediction accurac
Author: Yin, Lei; Gao, Qi

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026006
8、Mining user behavior patterns based on reinforcement learning algorithm to optimize service robot interaction strateg
Author: Guo, Min; Feng, Zhen

Journal: MECHANICS & INDUSTRY. 2026; Vol. 27, Issue , pp. -. DOI: 10.1051/meca/2026002