Intelligent Computing

Intelligent Computing 由 American Association for the Advancement of Science (AAAS) 出版，属中科院计算机科学大类。按 OpenAlex 近年发文统计，该刊主要发表 Neural Networks and Reservoir Computing、Quantum Computing Algorithms and Architecture、Advanced Memory and Neural Computing 等主题的论文，这 3 个主题约占 20.8%，主导子领域为 Artificial Intelligence。（根据 OpenAlex 主题统计与中科院分区数据生成）

Intelligent Computing aims to build an open communication and cooperation platform for global science and technology professionals in the field of intelligent computing. It is interested in presenting the latest research outcomes and technological breakthroughs in intelligent computing in order to boost the development of intelligent computing science and technology and to enhance human well-being. The journal is interested in research across the following fields: 1. Computing methodologies for machine intelligence. Major topics include but are not limited to: New computing theories, architectures, and models; New computing devices, hardware, and software; New computing paradigms, such as quantum computing, photonic computing, bio-computing, bio- inspired computing, and brain-like computing; New computing systems, such as intelligent supercomputing, heterogeneous computing clusters, domain-specific computing, and wide-area collaborative computing; Computation-driven machine intelligence, cognitive computing, collaborative human-computer computing, and swarm intelligence. 2. Computational technology achieved through AI-based methodologies. Major topics include but are not limited to: Collaboration and reconfiguration of computational hardware and software; Intelligent understanding and decomposition of computing tasks; Intelligent scheduling and adaptation of computing resources; Trusted computing and privacy computing; Ubiquitous computing and transparent computing. 3. Scientific findings achieved through machine intelligence, data, and computing methodologies. Major topics include but are not limited to: Intelligent computational materials science; Intelligent computational biology; Intelligent computational astronomy; Intelligent computational pharmacy; Intelligent computational social science.

摘自期刊官网 Aims & Scope

研究方向（LetPub）：Computer Science-Computer Vision and Pattern Recognition

编委会国家分布：中国大陆 2 位（约 50%）；主要国家 中国 2、德国 1、加拿大 1（共 4 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

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）

6.4出版商官网 · 2026-10-01

CiteScore 2026-06

9LetPub · 2026-09-13

CiteScore（出版商公布）

9出版商官网 · 2026-10-01

SJR 2026-06

1.01LetPub · 2026-09-13

SNIP 2026-06

1.63LetPub · 2026-09-13

h-index

22OpenAlex · 2026-10-01

i10-index

41OpenAlex · 2026-10-01

两年平均被引

3.59OpenAlex · 2026-10-01

自引率

0%LetPub · 2026-09-13

Gold OA 文章占比

100%LetPub · 2026-09-13

发文规模

年文章数

34LetPub · 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。

其他来源

平均审稿速度（社区反馈）

11 WeeksLetPub · 2026-09-13

投稿到发表（期刊自报）

约 11 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
• 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

American Association for the Advancement of Science (AAAS)

出版国家或地区

United States

出版语言

English

ISSN

2771-5892

官方链接

• 期刊主页 ↗LetPub
• 投稿系统 ↗出版商官网
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• 专刊 / 特刊征稿 ↗出版商官网
• APC 费用说明 ↗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