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IEEE Transactions on Emerging Topics in Computing Template

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

About the IEEE Transactions on Emerging Topics in Computing format

IEEE Transactions on Emerging Topics in Computing is a peer-reviewed journal published by IEEE, covering Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, IoT and Edge/Fog Computing. Over its lifetime it has published 1,340 papers, which have received 33,163 citations.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE Transactions on Emerging Topics in Computing style. No sign-up.

Publishes research inAdvanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices IoT and Edge/Fog Computing Physical Unclonable Functions (PUFs) and Hardware Security Parallel Computing and Optimization Techniques
ISSN2168-6750
Citation impact (2-yr)2.35
h-index89
i10-index632
Top institutions publishing herePolitecnico di Torino
Journal websitewww.computer.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE Transactions on Emerging Topics in Computing per year

72
2014
110
2015
111
2016
126
2017
80
2018
92
2019
115
2020
117
2021
105
2022
118
2023
91
2024
92
2025

Citation impact of IEEE Transactions on Emerging Topics in Computing by publication year

4.1K
2014
4.5K
2015
3.4K
2016
3.8K
2017
2.2K
2018
3K
2019
3.5K
2020
2.6K
2021
1.8K
2022
1.3K
2023
398
2024
148
2025

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

Most-cited papers in IEEE Transactions on Emerging Topics in Computing

A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

Adil Fahad, Najlaa Alshatri, Zahir Tari et al. · 19 Jun 2014

Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into clusters such that objects are grouped in the same cluster when they are similar according to specific metrics. There is a vast body…

1,040 citations Cite SaveGo to paper →
A Comprehensive Study of Security of Internet-of-Things

Arsalan Mosenia, Niraj K. Jha · 7 Sep 2016

Internet of Things (IoT), also referred to as the Internet of Objects, is envisioned as a transformative approach for providing numerous services. Compact smart devices constitute an essential part of IoT. They range widely in use, size, energy capacity, and computation power. However, the integration of these smart things into the standard Internet introduces several…

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

Charith Perera, Chi Harold Liu, Srimal Jayawardena · 8 Jan 2015

The Internet of Things (IoT) is a dynamic global information network consisting of Internet-connected objects, such as Radio frequency identifications, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future Internet. Over the last decade, we have seen a large number of the IoT solutions developed…

A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

Hamed Haddad Pajouh, Reza Javidan, Raouf Khayami et al. · 29 Nov 2016

With increasing reliance on Internet of Things (IoT) devices and services, the capability to detect intrusions and malicious activities within IoT networks is critical for resilience of the network infrastructure. In this paper, we present a novel model for intrusion detection based on two-layer dimension reduction and two-tier classification module, designed to detect malicious activities…

Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

Jiadai Wang, Lei Zhao, Jiajia Liu et al. · 5 Mar 2019

The development of mobile devices with improving communication and perceptual capabilities has brought about a proliferation of numerous complex and computation-intensive mobile applications. Mobile devices with limited resources face more severe capacity constraints than ever before. As a new concept of network architecture and an extension of cloud computing, Mobile Edge Computing (MEC) seems to…

IEEE Transactions on Emerging Topics in Computing template — frequently asked questions

How do I write a paper in the IEEE Transactions on Emerging Topics in Computing format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE Transactions on Emerging Topics in Computing template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE Transactions on Emerging Topics in Computing use?
IEEE Transactions on Emerging Topics in Computing uses Numbered (IEEE) 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] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE Transactions on Emerging Topics in Computing?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE Transactions on Emerging Topics in Computing document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
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What is IEEE Transactions on Emerging Topics in Computing?
IEEE Transactions on Emerging Topics in Computing, published by IEEE. It is a engineering and computer science journal, published by IEEE.
Can I export a submission-ready IEEE Transactions on Emerging Topics in Computing PDF?
Yes — DocuGuru produces a PDF built with the official IEEE Transactions on Emerging Topics in Computing template (the IEEEtran class) that is ready to submit to IEEE, together with the matching LaTeX source files.
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