期刊档案
NEURAL NETWORKS
— · ISSN 0893-6080 · 工程技术-计算机:人工智能
数据可追溯 · letpub-v6 · 更新于 2026-08-25期刊简介
研究范围与定位
Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.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 and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and 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 computational intelligence. Accordingly, Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters and reviews, as well as letters to the editor, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.
结构化分区
学科分区明细
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。
《新锐期刊分区表》( 2026年3月发布)
2026-03 · 3 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2区 |
| 小类 | 神经科学NEUROSCIENCES | 2区 |
期刊分区表( 2025年3月升级版)
2025-03 · 3 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2区 |
| 小类 | 神经科学NEUROSCIENCES | 2区 |
期刊分区表( 2023年12月旧的升级版)
2023-12 · 3 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 1区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2区 |
| 小类 | 神经科学NEUROSCIENCES | 2区 |
期刊档案
出版与身份
- 期刊ISSN
- 0893-6080
- E-ISSN
- 1879-2782
- 是否OA开放访问
- No
- 通讯方式
- PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD, ENGLAND, OX5 1GB
- 出版商
- Elsevier Ltd
- 出版国家或地区
- ENGLAND
- 出版语言
- English
- 出版周期
- Monthly
- 出版年份
- 1988
- 在线出版周期
- 来源Elsevier官网:平均7.1周
期刊档案
研究范围
- 期刊简介
- Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.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 and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and 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 computational intelligence. Accordingly, Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters and reviews, as well as letters to the editor, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.
- 涉及的研究方向
- 工程技术-计算机:人工智能
期刊档案
指标与活跃度
- 2025-2026最新IF(数据来源于网友提供)
- 注册或登录后,查看IF
- 实时影响因子
- 截止2026年5月06日:7.22
- 2025-2026自引率
- 15.3%点击查看自引率趋势图
- 五年IF(数据来源于网友提供)
- 7.403数据由网友[帅气森林]收集提供
- h-index
- 128
- CiteScore ( 2026年6月最新版)
- CiteScoreSJRSNIPCiteScore排名10.901.5451.978学科分区排名百分位大类:Neuroscience小类:Cognitive NeuroscienceQ19 / 129 93% 大类:Neuroscience小类:Artificial IntelligenceQ185 / 570 85%
- 年文章数
- 1233点击查看年文章数趋势图
- Gold OA文章占比
- 13.28%
- 研究类文章占比:文章 ÷(文章 + 综述)
- 98.54%
期刊档案
分区、收录与风险
- WOS期刊JCR分区 ( 2025-2026年最新版)
- 注册或登录后,查看WOS分区等级
- 期刊分区表预警名单
- 2026年03月发布的新锐学术版:不在预警名单中2025年03月发布的2025版:不在预警名单中2024年02月发布的2024版:不在预警名单中2023年01月发布的2023版:不在预警名单中2021年12月发布的2021版:不在预警名单中2020年12月发布的2020版:不在预警名单中
- SCI期刊收录coverage
- Science Citation Index Expanded (SCIE) (2020年1月,原SCI撤销合并入SCIE,统称SCIE)Scopus (CiteScore)
- PubMed Central (PMC)链接
- 访问官方页面 ↗
期刊档案
投稿与评审
- 期刊官方网站
- https://www.journals.elsevier.com/neural-networks 投稿规范预检(避免 Desk Rejection) 开始检查>>
- 期刊投稿网址
- https://www.editorialmanager.com/NEUNET AI辅助快速完成投稿信初稿 一键撰写投稿信>>
- 平均审稿速度
- 网友分享经验:平均12.0个月来源Elsevier官网:平均10.5周
- 平均录用比例
- 网友分享经验:较易
来源与统计口径
来源:LetPub 原始详情页 ↗。投稿经验仅展示聚合统计,不公开第三方正文或用户标识。当前聚合样本:暂无。