Multiscale And Multidisciplinary Modeling Experiments And Design
SCIE国际简称：MULTISCALE MULTI MOD 参考译名：多尺度和多学科建模实验与设计
主要研究方向：Multiple 非预警期刊 审稿周期：
《多尺度和多学科建模实验与设计》(Multiscale And Multidisciplinary Modeling Experiments And Design)是一本由Springer Nature出版的以Multiple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。
- Q2 JCR分区
- 192 年发文量
- 1.9 IF影响因子
- 未开放 是否OA
- English 出版语言
Multiscale and Multidisciplinary Modeling, Experiments and Design "is an interdisciplinary international journal that focuses on modeling, experimentation, and design of multi-scale, multidisciplinary, and multiscientific problems. This journal publishes original peer-reviewed research in the fields of engineering and physical sciences, covering materials such as polymers, metals, ceramics, biomaterials, composite materials, and advanced structural materials, as well as multi-scale, multidisciplinary, and multidisciplinary approaches to complex engineering and physical systems.
The journal content includes analytical, numerical, and/or experimental papers that report interdisciplinary or multidisciplinary approaches, or provide solutions by bridging different spatial and/or temporal scales.
The target readership of this journal includes researchers and practitioners engaged in fields such as aerospace engineering, biotechnology, civil engineering, electrical engineering, mechanical engineering, as well as experts in interdisciplinary fields such as applied mathematics, applied physics, biomechanics, and computer science
Multiscale And Multidisciplinary Modeling Experiments And Design期刊信息
- ISSN：2520-8160
- 出版语言：English
- 是否OA：未开放
- E-ISSN：2520-8179
- 是否预警：否
- 出版商：Springer Nature
- Gold OA文章占比：2.81%
- 研究类文章占比：97.92%
Multiscale And Multidisciplinary Modeling Experiments And Design CiteScore评价数据（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||||||
| 3.4 | 0.335 | 0.695 |
|
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。
Multiscale And Multidisciplinary Modeling Experiments And Design JCR评价数据（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, MECHANICAL | ESCI | Q3 | 91 / 180 |
49.7% |
| 学科：ENGINEERING, MULTIDISCIPLINARY | ESCI | Q2 | 63 / 179 |
65.1% |
| 学科：MATERIALS SCIENCE, MULTIDISCIPLINARY | ESCI | Q3 | 301 / 438 |
31.4% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：ENGINEERING, MECHANICAL | ESCI | Q2 | 84 / 180 |
53.61% |
| 学科：ENGINEERING, MULTIDISCIPLINARY | ESCI | Q2 | 70 / 180 |
61.39% |
| 学科：MATERIALS SCIENCE, MULTIDISCIPLINARY | ESCI | Q3 | 232 / 438 |
47.15% |
Multiscale And Multidisciplinary Modeling Experiments And Design历年数据统计
影响因子
Multiscale And Multidisciplinary Modeling Experiments And Design中国学者发文选摘
-
1、A visual ergonomic assessment approach using Kinect and OWAS in real workplace environments
Author: Li, Xiaomeng
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. 6, Issue 1, pp. 123-134. DOI: 10.1007/s41939-022-00133-w
-
2、Multi-objective optimization of processing parameters for ultrasonic surface rolling 12Cr2Ni4A gear steel based on an improved gray correlation analysis
Author: Gao, Guofu; Wang, Yi; Zhao, Bo; Xiang, Daohui; Lan, Shuailing
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. 6, Issue 1, pp. 165-177. DOI: 10.1007/s41939-022-00129-6
-
3、A tree-based energy-aware data aggregation method in the Internet of Things using the firefly optimization algorithm
Author: Zhang, Li
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. 6, Issue 2, pp. 223-233. DOI: 10.1007/s41939-023-00141-4
-
4、Predict the properties of self-compacting concrete using the optimized support vector regression models
Author: Li, Jie; Yan, Gongxing; Chen, Haojie
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41939-022-00136-7
-
5、Use an adaptive network fuzzy inference system model for estimating the compressive strength of high-performance concrete with two optimizers improved Grey Wolf algorithm and Dragonfly optimization algorithm
Author: Hu, Xiaoxuan
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. 6, Issue 2, pp. 263-276. DOI: 10.1007/s41939-023-00142-3
-
6、Optimal design of frequency load control system in multi-zone power system using PID-fuzzy controller optimized by bee algorithm
Author: Liu, Jianhui
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. 6, Issue 2, pp. 291-303. DOI: 10.1007/s41939-023-00143-2
-
7、A new crankshaft bending fatigue test method: both residual life prediction and statistical analysis
Author: Liu, Jinyan; Sun, Songsong; Gong, Xiaolin
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41939-023-00151-2
-
8、Evaluation of compressive strength of the HPC produced with admixtures by a novel hybrid SVR model
Author: Hu, Xiaoxuan
Journal: MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s41939-023-00150-3
免责声明