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Frontiers In NeuroinformaticsSCIE

國(guó)際簡(jiǎn)稱：FRONT NEUROINFORM 參考譯名：神經(jīng)信息學(xué)前沿

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

基本信息：: ISSN：1662-5196; E-ISSN：1662-5196; 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：2.5; H-index：50; CiteScore指數(shù)：4.8; SJR指數(shù)：0.768; SNIP指數(shù)：0.918

發(fā)文數(shù)據(jù)：: Gold OA文章占比：99.65%; 研究類文章占比：93.59%; 年發(fā)文量：78; 自引率：0.0571...; 開源占比：0.9926; 出版撤稿占比：0; 出版國(guó)人文章占比：0.14; 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 Neuroinformatics期刊介紹

Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the école Polytechnique Fédérale de Lausanne 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.

Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states.

Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.

期刊簡(jiǎn)介Frontiers In Neuroinformatics期刊介紹

《Frontiers In Neuroinformatics》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(kù)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： 14 Weeks
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 Neuroinformatics Cite Score數(shù)據(jù)

CiteScore：4.8
SJR：0.768
SNIP：0.918

學(xué)科類別	分區(qū)	排名	百分位
大類：Neuroscience 小類：Neuroscience (miscellaneous)	Q2	15 / 49	70%
大類：Neuroscience 小類：Computer Science Applications	Q2	326 / 817	60%
大類：Neuroscience 小類：Biomedical Engineering	Q2	139 / 303	54%

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(kù)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 Neuroinformatics 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(guó)際、國(guó)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(guó)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(guó)際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國(guó)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 Neuroinformatics 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	23 / 65	65.4%
學(xué)科：NEUROSCIENCES	SCIE	Q3	187 / 310	39.8%

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	27 / 65	59.23%
學(xué)科：NEUROSCIENCES	SCIE	Q3	168 / 310	45.97%

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(guó)家/地區(qū)發(fā)文量統(tǒng)計(jì)

國(guó)家/地區(qū)數(shù)量
USA66
CHINA MAINLAND55
GERMANY (FED REP GER)31
France25
Canada21
England19
Italy17
Japan17
Spain17
South Korea16

本刊中國(guó)學(xué)者近年發(fā)表論文

1、An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Author: Liu, Hui; Zhou, Guo; Zhou, Yongquan; Huang, Huajuan; Wei, Xiuxi

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fninf.2022.1103295
2、Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients
Author: Peng, Ting; Liu, Leping; Liu, Feiyang; Ding, Liang; Liu, Jing; Zhou, Han; Liu, Chong

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fninf.2022.1063610
3、bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
Author: Li, Yupeng; Zhao, Dong; Xu, Zhangze; Heidari, Ali Asghar; Chen, Huiling; Jiang, Xinyu; Liu, Zhifang; Wang, Mengmeng; Zhou, Qiongyan; Xu, Suling

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fninf.2022.1063048
4、An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms
Author: Dong, Ruyi; Du, Junjie; Liu, Yanan; Heidari, Ali Asghar; Chen, Huiling

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fninf.2023.1096053
5、Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19
Author: Wang, Mingjing; Chen, Long; Heidari, Ali Asghar; Chen, Huiling

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fninf.2022.1055241
6、Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies
Author: Fang, Tian; Zhang, Zhihao; Zhou, Huijie; Wu, Wanchun; Zou, Liqun

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fninf.2023.1154916
7、An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation
Author: Zhao, Xiuzhi; Liu, Lei; Heidari, Ali Asghar; Chen, Yi; Ma, Benedict Jun; Chen, Huiling; Quan, Shichao

Journal: FRONTIERS IN NEUROINFORMATICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fninf.2023.1126783
8、An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group.
Author: Boedhoe PSW^1,², Heymans MW³, Schmaal L^4,⁵, Abe Y⁶, Alonso P^7,^8,⁹, Ameis SH^10,¹¹, Anticevic A¹², Arnold PD^13,¹⁴, Batistuzzo MC¹⁵, Benedetti F¹⁶, Beucke JC¹⁷, Bollettini I¹⁶, Bose A¹⁸, Brem S¹⁹, Calvo A²⁰, Calvo R^8,²¹, Cheng Y²², Cho KIK²³, Ciullo V^24,²⁵, Dallaspezia S¹⁶, Denys D^26,²⁷, Feusner JD²⁸, Fitzgerald KD²⁹, Fouche JP³⁰, Fridgeirsson EA²⁶, Gruner P¹², Hanna GL²⁹, Hibar DP³¹, Hoexter MQ¹⁵, Hu H³², Huyser C^33,³⁴, Jahanshad N³⁵, James A³⁶, Kathmann N¹⁷, Kaufmann C¹⁷, Koch K^37,³⁸, Kwon JS^39,⁴⁰, Lazaro L^8,^21,^41,⁴², Lochner C⁴³, Marsh R^44,⁴⁵, Martínez-Zalacaín I⁷, Mataix-Cols D⁴⁶, Menchón JM^7,^8,⁹, Minuzzi L⁴⁷, Morer A^8,^21,⁴¹, Nakamae T⁶, Nakao T⁴⁸, Narayanaswamy JC¹⁸, Nishida S⁶, Nurmi EL²⁸, O'Neill J²⁸, Piacentini J²⁸, Piras F²⁴, Piras F²⁴, Reddy YCJ¹⁸, Reess TJ^37,³⁸, Sakai Y^6,⁴⁹, Sato JR⁵⁰, Simpson HB^44,⁵¹, Soreni N⁵², Soriano-Mas C^7,^8,⁵³, Spalletta G^24,⁵⁴, Stevens MC^55,⁵⁶, Szeszko PR^57,⁵⁸, Tolin DF^55,⁵⁹, van Wingen GA²⁶, Venkatasubramanian G¹⁸, Walitza S¹⁹, Wang Z^32,⁶⁰, Yun JY^35,³⁹; ENIGMA-OCD Working-Group, Thompson PM³¹, Stein DJ³⁰, van den Heuvel OA^1,², Twisk JWR³.

Journal: Front Neuroinform. 2019 Jan 8;12:102. doi: 10.3389/fninf.2018.00102. eCollection 2018.