Neural Processing Letters

SCI SCIE

国际简称：NEURAL PROCESS LETT 参考译名：神经处理字母

主要研究方向：工程技术-计算机：人工智能非预警期刊审稿周期：约3.0个月

《神经处理字母》(Neural Processing Letters)是一本由Springer US出版的以工程技术-计算机：人工智能为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。

4区中科院分区
Q3 JCR分区
101 年发文量
2.8 IF影响因子
开放是否OA
45 H-index
1994 创刊年份
Bimonthly 出版周期
English 出版语言

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

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Neural Processing Letters期刊信息

ISSN：1370-4621
出版语言：English
是否OA：开放
E-ISSN：1573-773X
出版地区：BELGIUM
是否预警：否
出版商：Springer US
出版周期：Bimonthly
创刊时间：1994
开源占比：0.0307
Gold OA文章占比：53.72%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：97.03%

Neural Processing Letters CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

8.1

0.666

0.961

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Networks and Communications	Q1	102 / 568	82%
大类：Computer Science 小类：Software	Q1	101 / 503	80%
大类：Computer Science 小类：Artificial Intelligence	Q1	125 / 570	78%
大类：Computer Science 小类：General Neuroscience	Q1	25 / 112	78%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Neural Processing Letters中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	4区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	4区

Neural Processing Letters JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	126 / 210	40.2
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q3	141 / 210	33.1

Neural Processing Letters历年数据统计

影响因子

中科院分区

Neural Processing Letters中国学者发文选摘

1、Spatial-Temporal Prediction of Traffic Accident Risks Using a Fusion of GNN-LST
Author: Wang, Kefeng; Jiang, Jilin; He, Hui; Chen, Jiajia

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 3, pp. -. DOI: 10.1007/s11063-025-11828-9
2、Distance-weighted merged prototypical network with calibration for incremental few-shot relation classificatio
Author: Na, Rui; Chen, Danyang; Zhong, Cheng

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-026-11845-2
3、Finite Time Stability of Caputo-Katugampola Fractional Order Fuzzy Cellular Neural Networks with Time Delay and Multi-Proportional Delay
Author: Chen, Qiuxing; Jiang, Yirong

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-026-11838-1
4、Artificial Intelligence in Lung Cancer Management: Innovations, Challenges, and Clinical Translatio
Author: Jiang, Qinyi; Qiu, Jianhui; Karkonshayan, Farid

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-026-11836-3
5、YOLO-CBR: YOLOv11-based Classroom Behavior Recognition Model with Dual-stage Routing Attention and Multiscale Optimizatio
Author: Yu, Jie; Qin, Xue

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-026-11840-7
6、Adaptive Multi-Robot Coordination: Integrating Improved Potential Fields with Multi-Agent Reinforcement Learnin
Author: Yao, Qingfeng; Zhang, Qifeng; Li, Qiang; Li, Zhiyuan; Meng, Linghan; Sun, Yingzhe; Wang, Cong

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-025-11826-x
7、3D Symbolic Action Representation for Human Motion Understandin
Author: Lu, Zhen; Liang, Yan; Li, Qiong; Lin, Yudong

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 2, pp. -. DOI: 10.1007/s11063-026-11835-4
8、Relation Extraction from the Perspective of the Frequency Domain: Frequency-Domain Aware Gated Graph Attention Networ
Author: Yao, Zhan'ao; Geng, Wenli; Yang, Hongxin; Sun, Zhongtian; Chen, Tingwei

Journal: NEURAL PROCESSING LETTERS. 2026; Vol. 58, Issue 1, pp. -. DOI: 10.1007/s11063-025-11831-0