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Engineering OptimizationSCIE

国际简称：ENG OPTIMIZ 参考译名：工程优化

中科院分区
3区
CiteScore分区
Q1
JCR分区
Q2

基本信息：: ISSN：0305-215X; E-ISSN：1029-0273; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：ENGLAND; 出版商：Taylor and Francis Ltd.; 出版语言：English; 出版周期：Bimonthly; 出版年份：1974; 研究方向：管理科学-工程：综合

评价信息：: 影响因子：2.2; H-index：56; CiteScore指数：5.9; SJR指数：0.621; SNIP指数：1.057

发文数据：: Gold OA文章占比：5.94%; 研究类文章占比：100.00%; 年发文量：71; 自引率：0.0740...; 开源占比：0.0445; 出版撤稿占比：0; 出版国人文章占比：0.38; OA被引用占比：0.0162...

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英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Engineering Optimization期刊介绍

Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process.

Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.

期刊简介Engineering Optimization期刊介绍

《Engineering Optimization》自1974出版以来，是一本工程技术优秀杂志。致力于发表原创科学研究结果，并为工程技术各个领域的原创研究提供一个展示平台，以促进工程技术领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道工程技术领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：约6.0个月
工程技术
ENGINEERING, MULTIDISCIPLINARY
SCIE
中科院3区
非预警

Cite Score数据（2024年最新版）Engineering Optimization Cite Score数据

CiteScore：5.9
SJR：0.621
SNIP：1.057

学科类别	分区	排名	百分位
大类：Mathematics 小类：Applied Mathematics	Q1	69 / 635	89%
大类：Mathematics 小类：Control and Optimization	Q1	21 / 130	84%
大类：Mathematics 小类：Industrial and Manufacturing Engineering	Q1	93 / 384	75%
大类：Mathematics 小类：Management Science and Operations Research	Q2	56 / 207	73%
大类：Mathematics 小类：Computer Science Applications	Q2	254 / 817	68%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Engineering Optimization 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
工程技术	3区	ENGINEERING, MULTIDISCIPLINARY 工程：综合 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学	3区 4区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Engineering Optimization JCR分区

2023-2024 年最新版

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：ENGINEERING, MULTIDISCIPLINARY	SCIE	Q2	50 / 179	72.3%
学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE	SCIE	Q2	45 / 106	58%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：ENGINEERING, MULTIDISCIPLINARY	SCIE	Q2	61 / 180	66.39%
学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE	SCIE	Q2	47 / 106	56.13%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计

国家/地区数量
CHINA MAINLAND238
USA50
Iran49
Australia19
Canada18
India17
Taiwan16
Turkey16
Brazil15
South Korea15

本刊中国学者近年发表论文

1、Topology optimization for disc structures with buckling and displacement constraints
Author: Wang, Weiwei; Ye, Hongling; Li, Zonghan; Sui, Yunkang

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 1, pp. 35-52. DOI: 10.1080/0305215X.2021.1982930
2、Topology optimization of thermo-hyperelastic structures utilizing inverse motion based form finding
Author: Sui, Qianqian; Yan, Jun; Fan, Zhirui; Wallin, Mathias; Ristinmaa, Matti; Niu, Bin

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 1, pp. 110-124. DOI: 10.1080/0305215X.2021.1986490
3、Deep learning of dispersion engineering in two-dimensional phononic crystals
Author: Miao, Xuan-Bo; Dong, H. W.; Wang, Yue-Sheng

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 1, pp. 125-139. DOI: 10.1080/0305215X.2021.1988587
4、Auction-based approach to the job-shop problem with parallel batch processing and a machine availability constraint
Author: Zeng, Chengkuan; Liu, Zixuan; Tang, Jiafu; Fan, Zhi-Ping; Yan, Chongjun

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 1, pp. 71-88. DOI: 10.1080/0305215X.2021.1983558
5、Optimization for minimum manufacturing costs of tower cranes based on the plant growth simulation algorithm
Author: Li, Yinqi; Wang, Long; Liu, Feng; Li, Lijuan; Chen, Yulong

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 2, pp. 236-256. DOI: 10.1080/0305215X.2021.1993844
6、Topology optimization design related to size effect using the modified couple stress theory
Author: Gan, Ning; Wang, Qianxuan

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 1, pp. 158-176. DOI: 10.1080/0305215X.2021.1990911
7、Multi-objective optimization design of hydropneumatic suspension with gas-oil emulsion for ride comfort and handling stability of an articulated dumper truck
Author: Yang, Lin; Wang, Ruochen; Sun, Zeyu; Meng, Xiangpeng; Zhu, Zhihao

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 2, pp. 291-310. DOI: 10.1080/0305215X.2021.2002314
8、An adaptive method for topology optimization subjected to stationary stochastic forced excitations
Author: Wang, Bin; Zhao, Junpeng; Zhao, Ruijie; Wang, Chunjie

Journal: ENGINEERING OPTIMIZATION. 2023; Vol. 55, Issue 2, pp. 177-196. DOI: 10.1080/0305215X.2021.1992613