2022年12月最新中科院JCR期刊分区表数据（升级版）已经更新，欢迎查询！ 如果您对期刊系统有任何需求或者问题，欢迎反馈给我们。
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期刊名字 | NEURAL NETWORKS NEURAL NETWORKS LetPub评分 8.0
75人评分
我要评分
声誉 8.7 影响力 7.4 速度 7.8 | |||||||||||||||||||||
| 期刊ISSN | 0893-6080 | 微信扫码收藏此期刊 | ||||||||||||||||||||
| E-ISSN | 1879-2782 | |||||||||||||||||||||
| 2021-2022最新影响因子 （数据来源于搜索引擎） | 注册或登录后，查看影响因子和历年趋势图 | |||||||||||||||||||||
| 2021-2022自引率 | 7.70%注册或登录后，查看自引率趋势图 | |||||||||||||||||||||
| h-index | 128 | |||||||||||||||||||||
| CiteScore |
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| 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. | |||||||||||||||||||||
| 期刊官方网站 | http://www.elsevier.com/wps/find/journaldescription.cws_home/841/description | |||||||||||||||||||||
| 期刊投稿网址 | https://www.editorialmanager.com/NEUNET | |||||||||||||||||||||
| 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 | |||||||||||||||||||||
| 涉及的研究方向 | 工程技术-计算机：人工智能 | |||||||||||||||||||||
| 出版国家或地区 | ENGLAND | |||||||||||||||||||||
| 出版语言 | English | |||||||||||||||||||||
| 出版周期 | Monthly | |||||||||||||||||||||
| 出版年份 | 1988 | |||||||||||||||||||||
| 年文章数 | 418注册或登录后，查看年文章数趋势图 | |||||||||||||||||||||
| Gold OA文章占比 | 10.17% | |||||||||||||||||||||
| 研究类文章占比： 文章 ÷（文章 + 综述） | 98.33% | |||||||||||||||||||||
| WOS期刊SCI分区 （ 2021-2022年最新版） | WOS分区等级：1区
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| 中科院《国际期刊预警 名单（试行）》名单 | 2021年12月发布的2021版：不在预警名单中 2021年01月发布的2020版：不在预警名单中 | |||||||||||||||||||||
| 中科院SCI期刊分区 （ 2022年12月最新升级版） | 注册或登录后，查看中科院SCI期刊分区趋势图
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| 中科院SCI期刊分区 （ 2021年12月基础版） |
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| 中科院SCI期刊分区 （ 2021年12月升级版） |
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| 中科院SCI期刊分区 （ 2020年12月旧的升级版） |
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| 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 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0893-6080%5BISSN%5D | |||||||||||||||||||||
| 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 | |||||||||||||||||||||
| 在线出版周期 | 来源Elsevier官网： 平均7.1周 | |||||||||||||||||||||
| 期刊常用信息链接 |
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| 注册或登录后，查看自引率趋势图 |
| 注册或登录后，查看中科院SCI期刊分区趋势图 |
| 注册或登录后，查看年文章数趋势图 |
| 中国学者近期发表的论文 | |
| 1. | On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network Author: Yongfang Xie, Jinjing Yu, Shiwen Xie, Tingwen Huang, Weihua Gui Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.03.007 DOI |
| 2. | Equivalence between dropout and data augmentation: A mathematical check Author: Dazhi Zhao, Guozhu Yu, Peng Xu, Maokang Luo Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.03.013 DOI |
| 3. | Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems Author: Yiyan Han, Chuandong Li, Zhigang Zeng Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.03.009 DOI |
| 4. | Flexible unsupervised feature extraction for image classification Author: Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.03.008 DOI |
| 5. | Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application Author: Binjie Zhang, Yusong Liu, Jinde Cao, Shujun Wu, Jian Wang Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.02.011 DOI |
| 6. | Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers Author: Yu Kan, Jianquan Lu, Jianlong Qiu, Jürgen Kurths Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.02.006 DOI |
| 7. | Robust dimensionality reduction via feature space to feature space distance metric learning Author: Bo Li, Zhang-Tao Fan, Xiao-Long Zhang, De-Shuang Huang Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2019.01.001 DOI |
| 8. | NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks Author: Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2018.12.011 DOI |
| 9. | Classification of gait patterns between patients with Parkinson’s disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks Author: Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang Journal: NEURAL NETWORKS, 2019, Vol., , DOI:10.1016/j.neunet.2018.12.012 DOI |
| 10. | Research on a learning rate with energy index in deep learning Author: Huizhen Zhao, Fuxian Liu, Han Zhang, Zhibing Liang Journal: NEURAL NETWORKS, 2018, Vol.110, 225-231, DOI:10.1016/j.neunet.2018.12.009 DOI |
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