Digital Chemical Engineering

Digital Chemical Engineering 由 Elsevier 出版，属中科院工程技术大类（2025 升级版4区）。按 OpenAlex 近年发文统计，该刊主要发表 Fault Detection and Control Systems、Advanced Control Systems Optimization、Process Optimization and Integration 等主题的论文，这 3 个主题约占 41.6%，主导子领域为 Control and Systems Engineering。（根据 OpenAlex 主题统计与中科院分区数据生成）

An Official Publication of the Institution of Chemical Engineers Digital Chemical Engineering aims to provide a leading platform for publishing new and novel interdisciplinary research across the domains of chemical engineering and digital sciences and technologies. The emerging digital transformation in the chemical industry brings new challenges and opportunities, and is fundamentally changing the way of future chemical engineering research, innovation, education and enterprise. It is the vision of Digital Chemical Engineering to capture the breakthroughs during the transformation, and provide a timely discussion forum for researchers to disseminate results and exchange ideas.The journal seeks to extend the boundaries of traditional chemical engineering and welcomes papers at the interface between chemical engineering and digitalization related disciplines. We are interested in contributions that advance the knowledge on data science, machine learning and computational sciences to tackle chemical engineering problems. The journal also publishes bespoke solutions and best practices for digital methodologies with a clear application background in the broad sense of chemical engineering, including materials, catalysis, processes, reactors, systems and society.The journal covers fundamental research, applied research, and case studies, and welcomes contributions from both academia and industry.Types of Paper The journal welcomes the following types of papers:Original research papers report on the outcomes of original research. There is no length limitation to papers of this type but authors are encouraged to be concise and make use of the facility to submit supplementary material for material that enhances the paper.Case studies are usually from industrial users/researchers presenting successful application cases of implementing digital solutions to improve or enable products, processes or systems in practice. Papers of this type should include the overview of problems, discussion of implementation, and discussion of impact and improvement from the proposed approach. Authors should write in a style that ensures that the article is accessible to the broad readership of the journal. There are no length limitations to case studies.Review papers of relevance to the core topics covered by the journal are welcomed. A review paper should provide a timely and critical assessment of previously published work.Perspectives are short opinion papers addressing a key, emerging, research area. They should balance the personal view of the author and a reasoned discussion of recent results of great importance. While they often examine the evolution of the field, they are not meant as a mini-review, but as a scholarly discussion that helps to identify new trends and developments in a given field. Perspective manuscripts should contain no more than 5000 words, up to five figures and 60 references.Short communications are short reports dealing with especially timely new ideas and specific points such as novel research techniques, fresh analysis of existing work or interesting aspects or results of work-in-progress. Short communications should not exceed the equivalent of 2000 words including illustrations and tables.The journal also supports the publication of research data*. The areas and topics covered by the journal include but are not limited to:Topics Systems thinking Big data analytics Artificial intelligence Blockchain Process control Sensors Robotics Automation Virtual reality Process simulation Process modelling Machine learning Digital twins Industry 4.0 Ethics Data Science Digital Economy Process system engineering Engineering and society Life cycle assessment Industrial symbiosis Cyber-physical systems Reaction EngineeringSectors Bio-resources Catalysis Circular Economy Education Energy Food and Beverages Health and Wellbeing Manufacturing and Resources Materials Safety and Risk Sustainability Water*Research data - Mendeley Data, enabli

摘自期刊官网 Aims & Scope

研究方向（LetPub）：Engineering-Engineering (miscellaneous)

主编 Jin Xuan出版商官网

编委会国家分布：中国大陆 7 位（约 15%）；主要国家 英国 14、美国 9、中国 7、印度 2、加拿大 2（共 47 位编委标注了国家） 编委会 ↗出版商官网 · 2026-10-01

中科院期刊分区表

数据库收录

ESCIScopusDOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

期刊官网自述收录

PubMed出版商官网

其他：Crossref

期刊官网列出的收录清单，未与各数据库逐一核对；Web of Science 各子库以上方记录为准。

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

影响因子（出版商公布）

5.4出版商官网 · 2026-10-01

CiteScore 2026-06

8.9LetPub · 2026-09-13

CiteScore（出版商公布）

8.9出版商官网 · 2026-10-01

SJR 2026-06

0.76LetPub · 2026-09-13

SNIP 2026-06

1.39LetPub · 2026-09-13

h-index

29OpenAlex · 2026-10-01

i10-index

110OpenAlex · 2026-10-01

两年平均被引

4.84OpenAlex · 2026-10-01

自引率

5.6%LetPub · 2026-09-13

Gold OA 文章占比

100%LetPub · 2026-09-13

发文规模

年文章数

65LetPub · 2026-09-13

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。

各来源数据

平均审稿速度（社区反馈）

10 WeeksLetPub · 2026-09-13

投稿到首次决定

3 天出版商官网 · 2026-10-01

外审后首次决定

40 天出版商官网 · 2026-10-01

投稿到接收

89 天出版商官网 · 2026-10-01

接收到发表

4 天出版商官网 · 2026-10-01

投稿到发表（期刊自报）

约 15 周DOAJ · 2026-10-11

评审方式

单盲同行评审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。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

Elsevier

出版国家或地区

United Kingdom

出版语言

English

ISSN

2772-5081

官方链接

• 期刊主页 ↗DOAJ
• 投稿系统 ↗出版商官网
• 作者指南 ↗DOAJ
• Aims & Scope ↗DOAJ
• 专刊 / 特刊征稿 ↗出版商官网
• 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 ↗DOAJ
• 编委会 ↗DOAJ
• 查重政策 ↗DOAJ