Neural Networks

Neural Networks 由 Elsevier Ltd 出版，属中科院计算机科学大类（2025 升级版2区，Top 期刊）。按 OpenAlex 近年发文统计，该刊主要发表 Neural Networks and Applications、Neural dynamics and brain function、Advanced Memory and Neural Computing 等主题的论文，这 3 个主题约占 35.5%，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）

The journal Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning.Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep learning algorithms and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. On the other hand, neural networks should be central to submissions. The journal publishes articles, letters, and reviews/tutorials, as well as letters to the editor, editorials, and current events. Articles are published in one of five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of three of the oldest and most prominent neural network societies: the International Neural Network Society (INNS), the Asia-Pacific Neural Network Society (APNNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.

摘自期刊官网 Aims & Scope

研究方向（LetPub）：工程技术-计算机：人工智能

中科院期刊分区表

数据库收录

SCIEScopusLetPub

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

7.22LetPub · 2026-09-13

影响因子（出版商公布）

7.2出版商官网 · 2026-09-29

CiteScore 2026-06

10.9LetPub · 2026-09-13

CiteScore（出版商公布）

10.9出版商官网 · 2026-09-29

SJR 2026-06

1.55LetPub · 2026-09-13

SNIP 2026-06

1.98LetPub · 2026-09-13

h-index

128LetPub · 2026-09-13

h-index

254OpenAlex · 2026-10-01

i10-index

5,270OpenAlex · 2026-10-01

两年平均被引

5.82OpenAlex · 2026-10-01

自引率

15.3%LetPub · 2026-09-13

Gold OA 文章占比

13.28%LetPub · 2026-09-13

发文规模

年文章数

1,233LetPub · 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）

平均12.0个月来源Elsevier官网：平均10.5周LetPub · 2026-09-13

平均录用比例（社区反馈）

较易LetPub · 2026-09-13

投稿到首次决定

9 天出版商官网 · 2026-09-29

外审后首次决定

78 天出版商官网 · 2026-09-29

投稿到接收

208 天出版商官网 · 2026-09-29

接收到发表

8 天出版商官网 · 2026-09-29

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。

混合期刊的文章处理费仅在作者选择开放获取发表时收取；按订阅方式发表通常不收费。

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 Ltd

出版国家或地区

ENGLAND

出版语言

English

出版周期

Monthly

创刊年份

1988

ISSN

0893-6080

电子版 ISSN

1879-2782

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗出版商官网
• 专刊 / 特刊征稿 ↗出版商官网