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 PROCESSING LETTERS NEURAL PROCESS LETT LetPub评分 6.8
95人评分
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声誉 7.3 影响力 6.0 速度 7.4 | |||||||||||||||||||||||||||||
| 期刊ISSN | 1370-4621 | 微信扫码收藏此期刊 | ||||||||||||||||||||||||||||
| E-ISSN | 1573-773X | |||||||||||||||||||||||||||||
| 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 | 13.00%注册或登录后，查看自引率趋势图 | |||||||||||||||||||||||||||||
| h-index | 45 | |||||||||||||||||||||||||||||
| CiteScore |
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| 期刊简介 | Neural Processing Letters is an international journal publishing research results and innovative ideas on all aspects of artificial neural networks. Coverage includes theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches. The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters | |||||||||||||||||||||||||||||
| 期刊官方网站 | https://www.springer.com/11063 | |||||||||||||||||||||||||||||
| 期刊投稿网址 | https://www.editorialmanager.com/nepl | |||||||||||||||||||||||||||||
| 作者指南网址 | https://www.springer.com/11063/submission-guidelines | |||||||||||||||||||||||||||||
| 是否OA开放访问 | No | |||||||||||||||||||||||||||||
| 通讯方式 | SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ | |||||||||||||||||||||||||||||
| 出版商 | Springer US | |||||||||||||||||||||||||||||
| 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 | BELGIUM | |||||||||||||||||||||||||||||
| 出版语言 | English | |||||||||||||||||||||||||||||
| 出版周期 | Bimonthly | |||||||||||||||||||||||||||||
| 出版年份 | 1994 | |||||||||||||||||||||||||||||
| 年文章数 | 286注册或登录后，查看年文章数趋势图 | |||||||||||||||||||||||||||||
| Gold OA文章占比 | 2.68% | |||||||||||||||||||||||||||||
| 研究类文章占比： 文章 ÷（文章 + 综述） | 99.30% | |||||||||||||||||||||||||||||
| WOS期刊SCI分区 （ 2021-2022年最新版） | WOS分区等级：3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=1370-4621%5BISSN%5D | |||||||||||||||||||||||||||||
| 平均审稿速度 | 网友分享经验： 平均3.0个月 | |||||||||||||||||||||||||||||
| 平均录用比例 | 网友分享经验： 容易 | |||||||||||||||||||||||||||||
| 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. | Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network Author: Qiangguo Jin, Qi Chen, Zhaopeng Meng, Bing Wang, Ran Su Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10011-1 DOI |
| 2. | Alignment Based Feature Selection for Multi-label Learning Author: Linlin Chen, Degang Chen Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10009-9 DOI |
| 3. | Surface Electromyography-Based Daily Activity Recognition Using Wavelet Coherence Coefficient and Support Vector Machine Author: Xugang Xi, Chen Yang, Jiahao Shi, Zhizeng Luo, Yun-Bo Zhao Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10008-w DOI |
| 4. | Online Learning for Time Series Prediction of AR Model with Missing Data Author: Haimin Yang, Zhisong Pan, Qing Tao Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10007-x DOI |
| 5. | Bifurcation Analysis for Simplified Five-Neuron Bidirectional Associative Memory Neural Networks with Four Delays Author: Changjin Xu, Maoxin Liao, Peiluan Li, Ying Guo Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10006-y DOI |
| 6. | Image Captioning Using Region-Based Attention Joint with Time-Varying Attention Author: Weixuan Wang, Haifeng Hu Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10005-z DOI |
| 7. | A Hybride Active Contour Model Driven by Global and Local Image Information Author: Xu Li, Hairong Liu, Yu Xing Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10004-0 DOI |
| 8. | Hierarchical Temporal Fusion of Multi-grained Attention Features for Video Question Answering Author: Shaoning Xiao, Yimeng Li, Yunan Ye, Long Chen, Shiliang Pu, Zhou Zhao, Jian Shao, Jun Xiao Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10003-1 DOI |
| 9. | Impulsive Stabilization and Synchronization of Fractional-Order Complex-Valued Neural Networks Author: Peng Wan, Jigui Jian Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10002-2 DOI |
| 10. | Hessian Regularized Distance Metric Learning for People Re-Identification Author: Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou Journal: NEURAL PROCESSING LETTERS, 2019, Vol., , DOI:10.1007/s11063-019-10000-4 DOI |
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