Frontiers In Computational Neuroscience

Frontiers In Computational Neuroscience

计算神经科学前沿

  • 4区 中科院分区
  • Q2 JCR分区

期刊简介

《Frontiers In Computational Neuroscience》是由Frontiers Media S.A.出版社于2007年创办的英文国际期刊(ISSN: 1662-5188,E-ISSN: 1662-5188),该期刊长期致力于数学与计算生物学领域的创新研究,主要研究方向为MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES。作为SCIE收录期刊(JCR分区 Q2,中科院 4区),本刊采用OA开放获取模式(OA占比1%),以发表数学与计算生物学领域等方向的原创性研究为核心(研究类文章占比89.38%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在113篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动医学领域高水平交流平台。

投稿咨询

投稿提示

Frontiers In Computational Neuroscience审稿周期约为 较慢,6-12周 。该刊近年未被列入国际预警名单,年发文量约113篇,录用竞争适中,主题需确保紧密契合医学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 医学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 113 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
医学
4区
MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学 NEUROSCIENCES 神经科学
3区 4区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
医学
4区
MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学 NEUROSCIENCES 神经科学
3区 4区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY SCIE Q2 32 / 65

51.5%

学科:NEUROSCIENCES SCIE Q3 217 / 310

30.2%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY SCIE Q2 32 / 65

51.54%

学科:NEUROSCIENCES SCIE Q3 206 / 310

33.71%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:5.3 SJR:0.73 SNIP:0.855
学科类别 分区 排名 百分位
大类:Neuroscience 小类:Neuroscience (miscellaneous) Q1 12 / 49

76%

大类:Neuroscience 小类:Cellular and Molecular Neuroscience Q3 63 / 97

35%

期刊发文

  • Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

    Author: Wan, Cheng; Fang, Jiyi; Hua, Xiao; Chen, Lu; Zhang, Shaochong; Yang, Weihua

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fncom.2023.1169464

  • Learning with few samples in deep learning for image classification, a mini-review

    Author: Zhang, Rujun; Liu, Qifan

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1075294

  • Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory

    Author: Zhou, Qinghua; Zheng, Yiran

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1084279

  • Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network

    Author: Yan, Ting; Yan, Zhenpeng; Liu, Lili; Zhang, Xiaoyu; Chen, Guohui; Xu, Feng; Li, Ying; Zhang, Lijuan; Peng, Meilan; Wang, Lu; Li, Dandan; Zhao, Dong

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.916511

  • A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson's disease and construction of diagnostic model

    Author: Wu, Zhaoping; Hu, Zhiping; Gao, Yunchun; Xia, Yuechong; Zhang, Xiaobo; Jiang, Zheng

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1095676

  • Research on the network handoff strategy based on the best access point name decision

    Author: Shu, Zhong; Shu, Ya-Jie; Zhang, Qian; Ye, Hui-Rong

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1090301

  • A spiking network model for clustering report in a visual working memory task

    Author: Lei, Lixing; Zhang, Mengya; Li, Tingyu; Dong, Yelin; Wang, Da-Hui

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1030073

  • Tuning curves vs. population responses, and perceptual consequences of receptive-field remapping

    Author: Qian, Ning; Goldberg, Michael E.; Zhang, Mingsha

    Journal: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fncom.2022.1060757