MDPI

Computers Template

Write in a clean editor, then format for Computers in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Computers format

Computers is a peer-reviewed journal published by MDPI, covering Network Security and Intrusion Detection, Blockchain Technology Applications and Security, IoT and Edge/Fog Computing. Over its lifetime it has published 2,349 papers, which have received 30,781 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Computers 2023, 12, 45–58.

Formats any DOI in Computers style. No sign-up.

Publishes research inNetwork Security and Intrusion Detection Blockchain Technology Applications and Security IoT and Edge/Fog Computing Advanced Malware Detection Techniques Anomaly Detection Techniques and Applications
ISSN2073-431X
Citation impact (2-yr)4.95
h-index71
i10-index703
Article processing charge$1,732
Open accessYes — indexed in DOAJ
Top institutions publishing hereKing Abdulaziz University
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Computers per year

6
2014
16
2015
32
2016
35
2017
69
2018
88
2019
110
2020
170
2021
189
2022
267
2023
344
2024
568
2025

Citation impact of Computers by publication year

413
2014
140
2015
798
2016
848
2017
1.6K
2018
2K
2019
2.6K
2020
4K
2021
3.8K
2022
6.8K
2023
3.7K
2024
2.4K
2025

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

Most-cited papers in Computers

Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

Mohammad Mustafa Taye · 25 Apr 2023

In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance. Deep learning technology, which grew out of artificial neural networks (ANN), has become a big deal in computing because…

Convolutional Neural Networks: A Survey

Moez Krichen · 28 Jul 2023

Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of AI that have emerged as a powerful tool for various tasks including image recognition, speech recognition, natural language processing (NLP), and even in the field of genomics, where they have been…

A Review on Video-Based Human Activity Recognition

Shian-Ru Ke, Hoang Le Uyen Thuc, Yongjin Lee et al. · 5 Jun 2013

This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human object segmentation, feature extraction and representation,…

An Overview of Augmented Reality

Fabio Arena, Mario Collotta, Giovanni Pau et al. · 19 Feb 2022

Modern society is increasingly permeated by realities parallel to the real one. The so-called virtual reality is now part of both current habits and many activities carried out during the day. Virtual reality (VR) is, in turn, related to the concept of augmented reality (AR). It represents a technology still in solid expansion but which…

The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

Momina Liaqat Ali, Zhou Zhang · 14 Dec 2024

This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized the field by achieving an optimal balance between speed and accuracy. The review traces the evolution of YOLO variants, highlighting key architectural improvements, performance…

Computers template — frequently asked questions

How do I write a paper in the Computers format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Computers template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Computers use?
Computers uses Numbered (MDPI) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Computers 2023, 12, 45–58.
Do I need to know LaTeX to submit to Computers?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready Computers document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Computers template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Computers format with correct headings, figures, tables, and numbered citations.
What is Computers?
Computers - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready Computers PDF?
Yes — DocuGuru produces a PDF built with the official Computers template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the Computers template cost?
You can start writing in the Computers template for free. Exporting the final submission-ready Computers PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Computers template