Elsevier

Journal of King Saud University - Computer and Information Sciences Template

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About the Journal of King Saud University - Computer and Information Sciences format

Journal of King Saud University - Computer and Information Sciences is a peer-reviewed journal published by Elsevier, covering Topic Modeling, IoT and Edge/Fog Computing, Chaos-based Image/Signal Encryption.

PublisherElsevier
Reference styleAuthor–year (Harvard)
Author–year — (Smith, 2023) in the text
Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of King Saud University - Computer and Information Sciences, 12(3), pp. 45–58.

Formats any DOI in Journal of King Saud University - Computer and Information Sciences style. No sign-up.

Publishes research inTopic Modeling IoT and Edge/Fog Computing Chaos-based Image/Signal Encryption Advanced Neural Network Applications Advanced Steganography and Watermarking Techniques
ISSN1319-1578
Citation impact (2-yr)4.06
h-index116
i10-index1,429
Total citations74,740
Article processing charge$1,350
Open accessYes
Top institutions publishing hereKing Saud University
Journal websitewww.journals.elsevier.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Journal of King Saud University - Computer and Information Sciences per year

26
2014
89
2015
70
2016
92
2017
167
2018
168
2019
208
2020
237
2021
304
2022
372
2023
296
2024
414
2025

Citation impact of Journal of King Saud University - Computer and Information Sciences by publication year

1K
2014
2.7K
2015
4.3K
2016
4.3K
2017
8.3K
2018
7.8K
2019
8.2K
2020
11.4K
2021
9K
2022
8.3K
2023
3.9K
2024
848
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Journal of King Saud University - Computer and Information Sciences

A survey on Internet of Things architectures

Partha Pratim Ray · 11 Oct 2016

Internet of Things is a platform where every day devices become smarter, every day processing becomes intelligent, and every day communication becomes informative. While the Internet of Things is still seeking its own shape, its effects have already stared in making incredible strides as a universal solution media for the connected scenario. Architecture specific study…

1,156 citations Cite SaveGo to paper →
A comprehensive review on ensemble deep learning: Opportunities and challenges

Ammar Mohammed, Rania Kora · 1 Feb 2023

In machine learning, two approaches outperform traditional algorithms: ensemble learning and deep learning. The former refers to methods that integrate multiple base models in the same framework to obtain a stronger model that outperforms them. The success of an ensemble method depends on several factors, including how the baseline models are trained and how they…

1,061 citations Cite SaveGo to paper →
Big Data technologies: A survey

Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen et al. · 12 Jun 2017

Developing Big Data applications has become increasingly important in the last few years. In fact, several organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data. However, in Big Data context, traditional data techniques and platforms are less efficient. They show a slow responsiveness and lack of scalability, performance and accuracy.…

Stability of feature selection algorithm: A review

Utkarsh Mahadeo Khaire, R. Dhanalakshmi · 25 Jun 2019

Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features. Feature selection aims at building better classifier by listing significant features which also helps in reducing computational overload. Due to existing high throughput technologies and their recent advancements are resulting in high…

Fruits and vegetables quality evaluation using computer vision: A review

Anuja Bhargava, Atul Bansal · 5 Jun 2018

In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fruits and vegetables is appearance that impacts their market value, the consumer’s preference and choice. Although, the sorting and grading can be…

Journal of King Saud University - Computer and Information Sciences template — frequently asked questions

How do I write a paper in the Journal of King Saud University - Computer and Information Sciences format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Journal of King Saud University - Computer and Information Sciences template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Journal of King Saud University - Computer and Information Sciences use?
Journal of King Saud University - Computer and Information Sciences uses Author–year (Harvard) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of King Saud University - Computer and Information Sciences, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to Journal of King Saud University - Computer and Information Sciences?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Journal of King Saud University - Computer and Information Sciences document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
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Who publishes Journal of King Saud University - Computer and Information Sciences?
Journal of King Saud University - Computer and Information Sciences is a multidisciplinary journal published by Elsevier. DocuGuru's Journal of King Saud University - Computer and Information Sciences template matches Elsevier's official submission format.
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