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IEEE Transactions (Journal)

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IEEE Transactions (Journal)

Official IEEE Transactions journal format using the IEEEtran class. Two-column layout with member grades, abstract, index terms, equations, and an IEEEtran-style numbered bibliography.

Category

journal

License

Free to use (MIT)

File

ieee-transactions/main.tex

main.texRead-only preview
%% IEEE Transactions (journal) template — uses the official IEEEtran class,
%% which ships with TeX Live. Set the class option to `journal` for
%% transactions or `conference` for conference proceedings.
\documentclass[journal]{IEEEtran}

\usepackage{cite}
\usepackage{amsmath,amssymb,amsfonts}
\usepackage{algorithmic}
\usepackage{graphicx}
\usepackage{textcomp}
\usepackage{xcolor}

\begin{document}

\title{A Template for IEEE Transactions Journal Articles}

\author{First~A.~Author,~\IEEEmembership{Member,~IEEE,}
        Second~B.~Author,~\IEEEmembership{Fellow,~IEEE,}
        and~Third~C.~Author,~\IEEEmembership{Senior~Member,~IEEE}
\thanks{Manuscript received April 1, 2026; revised August 1, 2026.}
\thanks{The authors are with the Department of Electrical Engineering,
        University of Example, City, Country (e-mail: author@example.edu).}}

\markboth{IEEE Transactions on Example Topics,~Vol.~1, No.~1, January~2026}%
{Author \MakeLowercase{\textit{et al.}}: A Template for IEEE Transactions Journal Articles}

\maketitle

\begin{abstract}
This document is a template for authors preparing manuscripts for IEEE
Transactions journals. It demonstrates the two-column layout, abstract,
index terms, sectioning, equations, and a bibliography using the
\texttt{IEEEtran} bibliography style.
\end{abstract}

\begin{IEEEkeywords}
IEEE, journal template, LaTeX, IEEEtran.
\end{IEEEkeywords}

\IEEEpeerreviewmaketitle

\section{Introduction}
\IEEEPARstart{T}{his} template targets IEEE Transactions journals. Recent
advances in the field have been driven by learned representations
\cite{lecun2015deep} and large-scale optimization \cite{kingma2015adam}.

\section{Method}
We consider the objective
\begin{equation}
\min_{\theta}\; \frac{1}{n}\sum_{i=1}^{n} \ell\big(f_\theta(x_i), y_i\big) + \lambda \lVert \theta \rVert_2^2,
\label{eq:objective}
\end{equation}
where $\ell$ is a task-specific loss and $\lambda$ controls regularization.

\section{Results}
Empirically, the proposed approach improves over strong baselines
\cite{he2016deep} across the evaluated benchmarks.

\section{Conclusion}
We presented an IEEE Transactions template ready for compilation.

\bibliographystyle{IEEEtran}
\bibliography{refs}

\end{document}
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IEEE Transactions (Journal) LaTeX Template | Free Download & Preview - Bibby