MDPI

AppliedMath Template

Write in a clean editor, then format for AppliedMath 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 AppliedMath format

AppliedMath is a peer-reviewed journal published by MDPI, covering Fractional Differential Equations Solutions, Nonlinear Waves and Solitons, Mathematical and Theoretical Epidemiology and Ecology Models. Over its lifetime it has published 471 papers, which have received 807 citations.

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

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

Publishes research inFractional Differential Equations Solutions Nonlinear Waves and Solitons Mathematical and Theoretical Epidemiology and Ecology Models Iterative Methods for Nonlinear Equations Numerical methods for differential equations
ISSN2673-9909
Citation impact (2-yr)1.14
h-index12
i10-index13
Open accessYes — indexed in DOAJ
Top institutions publishing hereUniversity of Thessaly
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in AppliedMath per year

5
2021
46
2022
52
2023
85
2024
181
2025

Citation impact of AppliedMath by publication year

33
2021
129
2022
225
2023
213
2024
195
2025

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

Most-cited papers in AppliedMath

Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review

Luong Vuong Nguyen · 2 Oct 2024

Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources.…

Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review

Mohammadreza Saberironaghi, Jing Ren, Alireza Saberironaghi · 24 Jun 2025

The rapid advancement of machine learning and deep learning techniques has revolutionized stock market prediction, providing innovative methods to analyze financial trends and market behavior. This review paper presents a comprehensive analysis of various machine learning and deep learning approaches utilized in stock market prediction, focusing on their methodologies, evaluation metrics, and datasets. Popular models…

Analyzing Health Data Breaches: A Visual Analytics Approach

Wullianallur Raghupathi, Viju Raghupathi, Aditya Saharia · 9 Mar 2023

This research studies the occurrence of data breaches in healthcare provider settings regarding patient data. Using visual analytics and data visualization tools, we study the distribution of healthcare breaches by state. We review the main causes and types of breaches, as well as their impact on both providers and patients. The research shows a range…

Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes

Easin Hasan, Fahad Mostafa, Md Sakhawat Hossain et al. · 12 May 2023

Hepatocellular carcinoma (HCC) is the primary liver cancer that occurs the most frequently. The risk of developing HCC is highest in those with chronic liver diseases, such as cirrhosis brought on by hepatitis B or C infection and the most common type of liver cancer. Knowledge-based interpretations are essential for understanding the HCC microarray dataset…

A New Hybrid Multi-Objective Scheduling Model for Hierarchical Hub and Flexible Flow Shop Problems

Sina Aghakhani, Mohammad Sadra Rajabi · 17 Dec 2022

In general, customers are looking to receive their orders in the fastest time possible and to make purchases at a reasonable price. Consequently, the importance of having an optimal delivery time is increasingly evident these days. One of the structures that can meet the demand for large supply chains with numerous orders is the hierarchical…

AppliedMath template — frequently asked questions

How do I write a paper in the AppliedMath format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the AppliedMath 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 AppliedMath use?
AppliedMath 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. AppliedMath 2023, 12, 45–58.
Do I need to know LaTeX to submit to AppliedMath?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready AppliedMath 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 AppliedMath template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the AppliedMath format with correct headings, figures, tables, and numbered citations.
What is AppliedMath?
AppliedMath - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready AppliedMath PDF?
Yes — DocuGuru produces a PDF built with the official AppliedMath template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the AppliedMath template cost?
You can start writing in the AppliedMath template for free. Exporting the final submission-ready AppliedMath PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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