MDPI

AI Template

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

AI is a peer-reviewed journal published by MDPI, covering Artificial Intelligence in Healthcare and Education, Advanced Neural Network Applications, Explainable Artificial Intelligence (XAI). Over its lifetime it has published 943 papers, which have received 9,957 citations.

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

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

Publishes research inArtificial Intelligence in Healthcare and Education Advanced Neural Network Applications Explainable Artificial Intelligence (XAI) Topic Modeling Ethics and Social Impacts of AI
ISSN2673-2688
Citation impact (2-yr)5.3
h-index45
i10-index220
Article processing charge$1,082
Open accessYes — indexed in DOAJ
Top institutions publishing hereArab American University
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in AI per year

2
2019
32
2020
45
2021
61
2022
58
2023
152
2024
337
2025

Citation impact of AI by publication year

44
2019
1.5K
2020
1.1K
2021
1.5K
2022
1.8K
2023
2K
2024
1.5K
2025

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

Most-cited papers in AI

Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future?

Hossein Hassani, Emmanuel Sirimal Silva, Stephane Unger et al. · 12 Apr 2020

Artificial intelligence (AI) is a rapidly growing technological phenomenon that all industries wish to exploit to benefit from efficiency gains and cost reductions. At the macrolevel, AI appears to be capable of replacing humans by undertaking intelligent tasks that were once limited to the human mind. However, another school of thought suggests that instead of…

A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms

Mohammad J. Hamayel, Amani Yousef Owda · 13 Oct 2021

Cryptocurrency is a new sort of asset that has emerged as a result of the advancement of financial technology and it has created a big opportunity for researches. Cryptocurrency price forecasting is difficult due to price volatility and dynamism. Around the world, there are hundreds of cryptocurrencies that are used. This paper proposes three types…

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare

Tim Hulsen · 10 Aug 2023

Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Examples of AI techniques are machine learning, neural networks, and deep learning. AI can be applied in many different areas, such as econometrics, biometry, e-commerce, and the automotive industry. In…

A Technology Acceptance Model Survey of the Metaverse Prospects

AlsharifHasan Mohamad Aburbeian, Amani Yousef Owda, Majdi Owda · 11 Apr 2022

The technology acceptance model is a widely used model to investigate whether users will accept or refuse a new technology. The Metaverse is a 3D world based on virtual reality simulation to express real life. It can be considered the next generation of using the internet. In this paper, we are going to investigate variables…

Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges

Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib · 29 Aug 2024

Physics-informed neural networks (PINNs) represent a significant advancement at the intersection of machine learning and physical sciences, offering a powerful framework for solving complex problems governed by physical laws. This survey provides a comprehensive review of the current state of research on PINNs, highlighting their unique methodologies, applications, challenges, and future directions. We begin by…

AI template — frequently asked questions

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