Example of Neural Networks format
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Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format
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Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format Example of Neural Networks format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

Neural Networks — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Cognitive Neuroscience #3 of 96 up up by 2 ranks
Artificial Intelligence #18 of 227 down down by 9 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 943 Published Papers | 10252 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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General info
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FAQ

Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 9.8
SJR: 1.085
SNIP: 2.108
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 6.0
SJR: 0.52
SNIP: 1.569
open access Open Access

Springer

Quality:  
Medium
CiteRatio: 2.5
SJR: 0.51
SNIP: 0.875
open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 2.4
SJR: 0.286
SNIP: 0.689

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

5.535

4% from 2018

Impact factor for Neural Networks from 2016 - 2019
Year Value
2019 5.535
2018 5.785
2017 7.197
2016 5.287
graph view Graph view
table view Table view

10.9

9% from 2019

CiteRatio for Neural Networks from 2016 - 2020
Year Value
2020 10.9
2019 10.0
2018 13.3
2017 11.2
2016 8.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 4% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 9% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.396

19% from 2019

SJR for Neural Networks from 2016 - 2020
Year Value
2020 1.396
2019 1.718
2018 1.97
2017 2.359
2016 1.337
graph view Graph view
table view Table view

2.809

25% from 2019

SNIP for Neural Networks from 2016 - 2020
Year Value
2020 2.809
2019 2.246
2018 3.865
2017 2.968
2016 2.488
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 19% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 25% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Neural Networks

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Elsevier

Neural Networks

Neural Networks welcomes high quality articles that contribute to the full range of neural networks research, ranging from behavioral and brain modeling, through mathematical and computational analyses, to engineering and technological applications of systems that significantl...... Read More

Neuroscience

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Last updated on
14 Jun 2020
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ISSN
0893-6080
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Impact Factor
High - 2.117
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Acceptance Rate
25%
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Open Access
Yes
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
elsarticle-num
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Citation Type
Numbered
[25]
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Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/0893-6080(89)90020-8
Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe1, Halbert White1
01 Jul 1989 - Neural Networks

Topics:

Universal approximation theorem (54%)54% related to the paper
18,794 Citations
open accessOpen access Journal Article DOI: 10.1016/J.NEUNET.2014.09.003
Deep learning in neural networks
Jürgen Schmidhuber1
01 Jan 2015 - Neural Networks

Topics:

Deep learning (65%)65% related to the paper, Deep belief network (64%)64% related to the paper, Unsupervised learning (63%)63% related to the paper, Artificial neural network (61%)61% related to the paper, Competitive learning (61%)61% related to the paper
View PDF
14,635 Citations
open accessOpen access Journal Article DOI: 10.5555/70405.70408
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., WhiteH.
01 Jul 1989 - Neural Networks
9,818 Citations
open accessOpen access Journal Article DOI: 10.1016/S0893-6080(00)00026-5
Independent component analysis: algorithms and applications
Aapo Hyvärinen1, Erkki Oja1
01 May 2000 - Neural Networks

Topics:

Projection pursuit (60%)60% related to the paper, Independent component analysis (59%)59% related to the paper, Principal component analysis (55%)55% related to the paper, Component (UML) (54%)54% related to the paper, Representation (mathematics) (54%)54% related to the paper
View PDF
8,231 Citations
Journal Article DOI: 10.1016/S0893-6080(05)80023-1
Original Contribution: Stacked generalization
05 Feb 1992 - Neural Networks

Topics:

Generalization (59%)59% related to the paper
5,834 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

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With SciSpace, you do not need a word template for Neural Networks.

It automatically formats your research paper to Elsevier formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
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Easy support from all your favorite tools

Neural Networks format uses elsarticle-num citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Neural Networks in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Neural Networks guidelines and auto format it.

2. Do you follow the Neural Networks guidelines?

Yes, the template is compliant with the Neural Networks guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Neural Networks?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Neural Networks citation style.

4. Can I use the Neural Networks templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Neural Networks.

5. Can I use a manuscript in Neural Networks that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Neural Networks that you can download at the end.

6. How long does it usually take you to format my papers in Neural Networks?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Neural Networks.

7. Where can I find the template for the Neural Networks?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Neural Networks's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Neural Networks's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Neural Networks an online tool or is there a desktop version?

SciSpace's Neural Networks is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Neural Networks?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Neural Networks?”

11. What is the output that I would get after using Neural Networks?

After writing your paper autoformatting in Neural Networks, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Neural Networks's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Neural Networks?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Neural Networks. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Neural Networks?

The 5 most common citation types in order of usage for Neural Networks are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Neural Networks?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Neural Networks's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Neural Networks in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Neural Networks Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
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