Frontiers In Neurorobotics SCIE

国际简称：FRONT NEUROROBOTICS 参考译名：神经机器人学前沿

主要研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS 非预警期刊审稿周期： 14 Weeks

《神经机器人学前沿》(Frontiers In Neurorobotics)是一本由Frontiers Media S.A.出版的以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS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
190 年发文量
2.6 IF影响因子
开放是否OA
23 H-index
2007 创刊年份
1 issue/year 出版周期
English 出版语言

Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.

Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.

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Frontiers In Neurorobotics期刊信息

ISSN：1662-5218
出版语言：English
是否OA：开放
E-ISSN：1662-5218
出版地区：SWITZERLAND
是否预警：否
出版商：Frontiers Media S.A.
出版周期：1 issue/year
创刊时间：2007
开源占比：0.9964
Gold OA文章占比：99.85%
OA被引用占比：1
出版国人文章占比：0.2
出版撤稿占比：0
研究类文章占比：95.26%

Frontiers In Neurorobotics CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

5.2

0.676

0.938

学科类别	分区	排名	百分位
大类：Engineering 小类：Biomedical Engineering	Q2	126 / 303	58%
大类：Engineering 小类：Artificial Intelligence	Q2	156 / 350	55%

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。

Frontiers In Neurorobotics中科院评价数据

中科院 2023年12月升级版

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 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	4区 4区 4区

中科院 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	3区 3区 3区

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	4区 4区 4区

中科院 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	4区 4区 4区

中科院 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	4区 4区 4区

中科院 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学	3区 4区 4区

Frontiers In Neurorobotics JCR评价数据（2023-2024年最新版）

按JIF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	104 / 197	47.5%
学科：NEUROSCIENCES	SCIE	Q3	176 / 310	43.4%
学科：ROBOTICS	SCIE	Q3	25 / 46	46.7%

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	Q2	90 / 198	54.8%
学科：NEUROSCIENCES	SCIE	Q3	191 / 310	38.55%
学科：ROBOTICS	SCIE	Q3	24 / 46	48.91%

Frontiers In Neurorobotics历年数据统计

影响因子

中科院分区

Frontiers In Neurorobotics中国学者发文选摘

1、Grade-control outdoor turning flight of robo-pigeon with quantitative stimulus parameters
Author: Fang, Ke; Mei, Hao; Tang, Yezhong; Wang, Wenbo; Wang, Hao; Wang, Zhouyi; Dai, Zhendong

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1143601
2、Real-time depth completion based on LiDAR-stereo for autonomous driving
Author: Wei, Ming; Zhu, Ming; Zhang, Yaoyuan; Wang, Jiarong; Sun, Jiaqi

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1124676
3、Automatic vessel plate number recognition for surface unmanned vehicles with marine applications
Author: Zhang, Renran; Zhang, Lei; Su, Yumin; Yu, Qingze; Bai, Gaoyi

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1131392
4、A directionally selective collision-sensing visual neural network based on fractional-order differential operator
Author: Wang, Yusi; Li, Haiyang; Zheng, Yi; Peng, Jigen

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1149675
5、Advances on intelligent algorithms for scientific computing: an overview
Author: Hua, Cheng; Cao, Xinwei; Liao, Bolin; Li, Shuai

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1190977
6、A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems
Author: Shi, Shengdong; Jiang, Qian; Jin, Xin; Wang, Weiqiang; Liu, Kaihua; Chen, Haiyang; Liu, Peng; Zhou, Wei; Yao, Shaowen

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1143032
7、Anomaly detection in images with shared autoencoders
Author: Jia, Haoyang; Liu, Wenfen

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fnbot.2022.1046867
8、Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city
Author: Zhang, Meng; Song, Zhitao; Yang, Jianfei; Gao, Mingliang; Hu, Yuanchao; Yuan, Chi; Jiang, Zhipeng; Cheng, Wei

Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fnbot.2022.1104559