Example of Journal of Sensors format
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Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format
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Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format Example of Journal of Sensors format
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open access Open Access

Journal of Sensors — Template for authors

Publisher: Hindawi
Categories Rank Trend in last 3 yrs
Instrumentation #31 of 128 up up by 30 ranks
Control and Systems Engineering #81 of 260 up up by 34 ranks
Electrical and Electronic Engineering #219 of 693 up up by 81 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 877 Published Papers | 3622 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 30/06/2020
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Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.7
SJR: 1.147
SNIP: 2.049
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 4.2
SJR: 0.565
SNIP: 1.02
open access Open Access

Springer

Quality:  
High
CiteRatio: 6.6
SJR: 1.392
SNIP: 1.036
open access Open Access

IEEE

Quality:  
High
CiteRatio: 8.2
SJR: 1.23
SNIP: 1.584

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

4.1

5% from 2019

CiteRatio for Journal of Sensors from 2016 - 2020
Year Value
2020 4.1
2019 3.9
2018 3.1
2017 2.0
2016 1.2
graph view Graph view
table view Table view

0.399

7% from 2019

SJR for Journal of Sensors from 2016 - 2020
Year Value
2020 0.399
2019 0.373
2018 0.34
2017 0.288
2016 0.273
graph view Graph view
table view Table view

1.108

10% from 2019

SNIP for Journal of Sensors from 2016 - 2020
Year Value
2020 1.108
2019 1.01
2018 1.043
2017 0.699
2016 0.909
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 5% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

Journal of Sensors

Guideline source: View

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Hindawi

Journal of Sensors

Journal of Sensors is an open access journal dedicated to cover all the interdisciplinary scientific and technological areas involved in the field of sensors, from the theory and design of the sensing devices to the application of the sensors. Authors of manuscripts with novel...... Read More

Instrumentation

Electrical and Electronic Engineering

Control and Systems Engineering

Physics and Astronomy

i
Last updated on
30 Jun 2020
i
ISSN
1687-725X
i
Impact Factor
Medium - 0.861
i
Acceptance Rate
29%
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. “Specular andreev reflection in graphene”. Phys. Rev. Lett., vol. 97, no. 6, 067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1155/2015/258619
Deep Convolutional Neural Networks for Hyperspectral Image Classification
Wei Hu1, Yangyu Huang1, Li Wei1, Fan Zhang1, Heng-Chao Li2, Heng-Chao Li3
30 Jul 2015 - Journal of Sensors

Abstract:

Recently, convolutional neural networks have demonstrated excellent performance on various visual tasks, including the classification of common two-dimensional images. In this paper, deep convolutional neural networks are employed to classify hyperspectral images directly in spectral domain. More specifically, the architectur... Recently, convolutional neural networks have demonstrated excellent performance on various visual tasks, including the classification of common two-dimensional images. In this paper, deep convolutional neural networks are employed to classify hyperspectral images directly in spectral domain. More specifically, the architecture of the proposed classifier contains five layers with weights which are the input layer, the convolutional layer, the max pooling layer, the full connection layer, and the output layer. These five layers are implemented on each spectral signature to discriminate against others. Experimental results based on several hyperspectral image data sets demonstrate that the proposed method can achieve better classification performance than some traditional methods, such as support vector machines and the conventional deep learning-based methods. read more read less

Topics:

Deep learning (63%)63% related to the paper, Convolutional neural network (62%)62% related to the paper, Hyperspectral imaging (55%)55% related to the paper, Support vector machine (51%)51% related to the paper
View PDF
1,316 Citations
open accessOpen access Journal Article DOI: 10.1155/2017/1353691
Significant remote sensing vegetation indices: A review of developments and applications
Jinru Xue1, Baofeng Su1
23 May 2017 - Journal of Sensors

Abstract:

Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications These indices have been widely implemented within RS applications using different airborne and sa... Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications These indices have been widely implemented within RS applications using different airborne and satellite platforms with recent advances using Unmanned Aerial Vehicles (UAV) Up to date, there is no unified mathematical expression that defines all VIs due to the complexity of different light spectra combinations, instrumentation, platforms, and resolutions used Therefore, customized algorithms have been developed and tested against a variety of applications according to specific mathematical expressions that combine visible light radiation, mainly green spectra region, from vegetation, and nonvisible spectra to obtain proxy quantifications of the vegetation surface In the real-world applications, optimization VIs are usually tailored to the specific application requirements coupled with appropriate validation tools and methodologies in the ground The present study introduces the spectral characteristics of vegetation and summarizes the development of VIs and the advantages and disadvantages from different indices developed This paper reviews more than 100 VIs, discussing their specific applicability and representativeness according to the vegetation of interest, environment, and implementation precision Predictably, research, and development of VIs, which are based on hyperspectral and UAV platforms, would have a wide applicability in different areas read more read less

Topics:

Vegetation (50%)50% related to the paper
View PDF
1,190 Citations
open accessOpen access Journal Article DOI: 10.1155/2009/493904
A Review of Carbon Nanotubes-Based Gas Sensors
02 Aug 2009 - Journal of Sensors

Abstract:

Gas sensors have attracted intensive research interest due to the demand of sensitive, fast response, and stable sensors for industry, environmental monitoring, biomedicine, and so forth. The development of nanotechnology has created huge potential to build highly sensitive, low cost, portable sensors with low power consumpti... Gas sensors have attracted intensive research interest due to the demand of sensitive, fast response, and stable sensors for industry, environmental monitoring, biomedicine, and so forth. The development of nanotechnology has created huge potential to build highly sensitive, low cost, portable sensors with low power consumption. The extremely high surface-to-volume ratio and hollow structure of nanomaterials is ideal for the adsorption of gas molecules. Particularly, the advent of carbon nanotubes (CNTs) has fuelled the inventions of gas sensors that exploit CNTs' unique geometry, morphology, and material properties. Upon exposure to certain gases, the changes in CNTs' properties can be detected by various methods. Therefore, CNTs-based gas sensors and their mechanisms have been widely studied recently. In this paper, a broad but yet in-depth survey of current CNTs-based gas sensing technology is presented. Both experimental works and theoretical simulations are reviewed. The design, fabrication, and the sensing mechanisms of the CNTs-based gas sensors are discussed. The challenges and perspectives of the research are also addressed in this review. read more read less
View PDF
482 Citations
open accessOpen access Journal Article DOI: 10.1155/2009/979761
Surface Plasmon Resonance-Based Fiber Optic Sensors: Principle, Probe Designs, and Some Applications
Banshi D. Gupta1, R. K. Verma1
11 Aug 2009 - Journal of Sensors

Abstract:

Surface plasmon resonance technique in collaboration with optical fiber technology has brought tremendous advancements in sensing of various physical, chemical, and biochemical parameters. In this review article, we present the principle of SPR technique for sensing and various designs of the fiber optic SPR probe reported fo... Surface plasmon resonance technique in collaboration with optical fiber technology has brought tremendous advancements in sensing of various physical, chemical, and biochemical parameters. In this review article, we present the principle of SPR technique for sensing and various designs of the fiber optic SPR probe reported for the enhancement of the sensitivity of the sensor. In addition, we present few examples of the surface plasmon resonance- (SPR-) based fiber optic sensors. The present review may provide researchers valuable information regarding fiber optic SPR sensors and encourage them to take this area for further research and development. read more read less

Topics:

Fiber optic sensor (69%)69% related to the paper, Optical fiber (60%)60% related to the paper, Surface plasmon resonance (55%)55% related to the paper
View PDF
418 Citations
open accessOpen access Journal Article DOI: 10.1155/2016/1480307
Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data
29 Feb 2016 - Journal of Sensors

Abstract:

Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover. As the latest launched satellite from the LANDSAT family, LANDSAT 8 has opened new possibilities for understanding the events on the Earth with remote sensing. This study... Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover. As the latest launched satellite from the LANDSAT family, LANDSAT 8 has opened new possibilities for understanding the events on the Earth with remote sensing. This study presents an algorithm for the automatic mapping of land surface temperature from LANDSAT 8 data. The tool was developed using the LANDSAT 8 thermal infrared sensor Band 10 data. Different methods and formulas were used in the algorithm that successfully retrieves the land surface temperature to help us study the thermal environment of the ground surface. To verify the algorithm, the land surface temperature and the near-air temperature were compared. The results showed that, for the first case, the standard deviation was 2.4°C, and for the second case, it was 2.7°C. For future studies, the tool should be refined with in situ measurements of land surface temperature. read more read less

Topics:

Land cover (62%)62% related to the paper
View PDF
364 Citations
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Journal of Sensors format uses unsrt citation style.

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Frequently asked questions

1. Can I write Journal of Sensors in LaTeX?

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

2. Do you follow the Journal of Sensors guidelines?

Yes, the template is compliant with the Journal of Sensors 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 Journal of Sensors?

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 Journal of Sensors citation style.

4. Can I use the Journal of Sensors 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 Journal of Sensors.

5. Can I use a manuscript in Journal of Sensors 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 Journal of Sensors that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Sensors?

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

7. Where can I find the template for the Journal of Sensors?

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 Journal of Sensors'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 Journal of Sensors'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. Journal of Sensors an online tool or is there a desktop version?

SciSpace's Journal of Sensors 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 Journal of Sensors?

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 Journal of Sensors?”

11. What is the output that I would get after using Journal of Sensors?

After writing your paper autoformatting in Journal of Sensors, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Sensors'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 Journal of Sensors?

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 Journal of Sensors. 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 Journal of Sensors?

The 5 most common citation types in order of usage for Journal of Sensors 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 Journal of Sensors?

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 Journal of Sensors's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Sensors 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 Journal of Sensors Endnote style according to Elsevier guidelines.

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