MDPI

Machines Template

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

Machines is a peer-reviewed journal published by MDPI, covering Machine Fault Diagnosis Techniques, Gear and Bearing Dynamics Analysis, Advanced machining processes and optimization. Over its lifetime it has published 5,958 papers, which have received 50,136 citations.

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

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

Publishes research inMachine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Advanced machining processes and optimization Hydraulic and Pneumatic Systems Manufacturing Process and Optimization
ISSN2075-1702
Citation impact (2-yr)3.19
h-index62
i10-index1,499
Article processing charge$1,949
Open accessYes — indexed in DOAJ
Top institutions publishing hereChinese Academy of Sciences
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Machines per year

15
2014
32
2015
23
2016
33
2017
65
2018
79
2019
90
2020
400
2021
1.3K
2022
1.1K
2023
940
2024
1.2K
2025

Citation impact of Machines by publication year

268
2014
461
2015
269
2016
1.5K
2017
2K
2018
1.8K
2019
2.2K
2020
5.8K
2021
14.6K
2022
11.2K
2023
5.3K
2024
3.1K
2025

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

Most-cited papers in Machines

YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection

Muhammad Hussain · 23 Jun 2023

Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are underpinned by the principle of real-time and high-classification performance, based on limited but efficient computational parameters. This principle has been found within the DNA of…

1,133 citations Cite SaveGo to paper →
Perception, Planning, Control, and Coordination for Autonomous Vehicles

Scott Pendleton, Hans Andersen, Xinxin Du et al. · 17 Feb 2017

Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power…

A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

Wahyu Caesarendra, Tegoeh Tjahjowidodo · 27 Sep 2017

This paper presents an empirical study of feature extraction methods for the application of low-speed slew bearing condition monitoring. The aim of the study is to find the proper features that represent the degradation condition of slew bearing rotating at very low speed (≈ 1 r/min) with naturally defect. The literature study of existing research,…

Requirements of the Smart Factory System: A Survey and Perspective

Mohammed M. Mabkhot, Abdulrahman Al‐Ahmari, Bashir Salah et al. · 1 Jun 2018

With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. An increasing amount…

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

Fabrizio Balducci, Donato Impedovo, Giuseppe Pirlo · 1 Sep 2018

This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values. As productive companies—public or private, large or small—need increasing profitability with costs reduction, discovering appropriate ways to exploit data that are continuously recorded and made available can be the right choice to…

Machines template — frequently asked questions

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