Digital Twin

Digital Twin 由 Taylor & Francis Group 出版。按 OpenAlex 近年发文统计，该刊主要发表 Digital Transformation in Industry、BIM and Construction Integration、Applied Advanced Technologies 等主题的论文，这 3 个主题约占 54.3%，主导子领域为 Industrial and Manufacturing Engineering。（根据 OpenAlex 主题统计与中科院分区数据生成）

Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review. The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas: ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.

来源：LetPub

研究方向（LetPub）：digital twin technologies

中科院期刊分区表

数据库收录

DOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

h-index

18OpenAlex · 2026-11-01

i10-index

34OpenAlex · 2026-11-01

两年平均被引

2.72OpenAlex · 2026-11-01

Gold OA 文章占比

0%LetPub · 2026-11-01

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

其他来源

平均审稿速度（社区反馈）

11 WeeksLetPub · 2026-11-01

投稿到发表（期刊自报）

约 11 周DOAJ · 2026-11-01

评审方式

Post-publication peer review、开放同行评审DOAJ

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

出版商

Taylor & Francis Group

出版国家或地区

China

出版语言

English

创刊年份

2021

ISSN

2752-5783

官方链接

• 期刊主页 ↗LetPub
• 投稿系统 ↗LetPub
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗LetPub
• 编委会 ↗LetPub
• 查重政策 ↗DOAJ