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Frontiers In Computational NeuroscienceSCIE

國際簡(jiǎn)稱：FRONT COMPUT NEUROSC 參考譯名：計(jì)算神經(jīng)科學(xué)前沿

中科院分區(qū)
4區(qū)
CiteScore分區(qū)
Q1
JCR分區(qū)
Q2

基本信息：: ISSN：1662-5188; E-ISSN：1662-5188; 是否OA：開放; 是否預(yù)警：否; TOP期刊：否

出版信息：: 出版地區(qū)：SWITZERLAND; 出版商：Frontiers Media S.A.; 出版語言：English; 出版周期：1 issue/year; 出版年份：2007; 研究方向：MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

評(píng)價(jià)信息：: 影響因子：2.1; H-index：44; CiteScore指數(shù)：5.3; SJR指數(shù)：0.73; SNIP指數(shù)：0.855

發(fā)文數(shù)據(jù)：: Gold OA文章占比：99.05%; 研究類文章占比：89.38%; 年發(fā)文量：113; 自引率：0.0312...; 開源占比：0.9906; 出版撤稿占比：0; 出版國人文章占比：0.13; OA被引用占比：1

投稿咨詢加急見刊

英文簡(jiǎn)介期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡(jiǎn)介Frontiers In Computational Neuroscience期刊介紹

Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.

Also: comp neuro

期刊簡(jiǎn)介Frontiers In Computational Neuroscience期刊介紹

《Frontiers In Computational Neuroscience》自2007出版以來，是一本醫(yī)學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果，并為醫(yī)學(xué)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái)，以促進(jìn)醫(yī)學(xué)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述，從廣泛的視角提供當(dāng)前感興趣的研究主題的新見解，或?qū)彶槎嗄陙砟硞€(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道醫(yī)學(xué)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單，目前已被權(quán)威數(shù)據(jù)庫SCIE收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn)：

預(yù)計(jì)審稿時(shí)間：較慢,6-12周
醫(yī)學(xué)
MATHEMATICAL & COMPUTATIONAL BIOLOGY
SCIE
中科院4區(qū)
非預(yù)警

Cite Score數(shù)據(jù)（2024年最新版）Frontiers In Computational Neuroscience Cite Score數(shù)據(jù)

CiteScore：5.3
SJR：0.73
SNIP：0.855

學(xué)科類別	分區(qū)	排名	百分位
大類：Neuroscience 小類：Neuroscience (miscellaneous)	Q1	12 / 49	76%
大類：Neuroscience 小類：Cellular and Molecular Neuroscience	Q3	63 / 97	35%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ)，針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于，它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法，而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

中科院SCI分區(qū)Frontiers In Computational Neuroscience 中科院分區(qū)

中科院 2023年12月升級(jí)版 綜述期刊：否 Top期刊：否

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)
醫(yī)學(xué)	4區(qū)	MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學(xué)與計(jì)算生物學(xué) NEUROSCIENCES 神經(jīng)科學(xué)	3區(qū) 4區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ)，運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次，類似于“優(yōu)、良、及格”等。最開始，這個(gè)分區(qū)只是為了方便圖書管理及圖書情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢(shì)圖

JCR分區(qū)Frontiers In Computational Neuroscience JCR分區(qū)

2023-2024 年最新版

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：MATHEMATICAL & COMPUTATIONAL BIOLOGY	SCIE	Q2	32 / 65	51.5%
學(xué)科：NEUROSCIENCES	SCIE	Q3	217 / 310	30.2%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：MATHEMATICAL & COMPUTATIONAL BIOLOGY	SCIE	Q2	32 / 65	51.54%
學(xué)科：NEUROSCIENCES	SCIE	Q3	206 / 310	33.71%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異，此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問題的。因此，JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū)，這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

發(fā)文數(shù)據(jù)

2023-2024 年國家/地區(qū)發(fā)文量統(tǒng)計(jì)

國家/地區(qū)數(shù)量
USA122
CHINA MAINLAND62
GERMANY (FED REP GER)39
England24
Japan24
France18
Italy16
Australia15
Spain15
Canada12

本刊中國學(xué)者近年發(fā)表論文

1、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
2、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
3、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
4、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
5、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
6、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
7、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
8、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