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Announcements
26 June 2025
MDPI’s Journal Cluster of Instruments and Instrumentation
Instruments and instrumentation is an important research field that encompasses the application of instruments for the observation, measurement, or control of physical and/or chemical systems. These applications are widely used in various fields like physics, chemistry, biology, medicine, food, the environment, energy, aerospace, transportation, consumer electronics, IoT, and so on.
MDPI’s cluster of instruments and instrumentation aims to publish articles focused on advanced technologies in the fields of sensors, actuators, transducers, instruments, micro/nanosystems, and devices. This journal cluster represents a platform fostering innovation in cross-disciplinary research into instruments and instrumentation, ranging from fundamental research to applications, including robotics, smart systems, biomedical engineering, and Industry 4.0, and this platform will enable scientists and engineers to share their breakthroughs in device design, fabrication, manufacture, materials, AI integration, and real-world applications. Each participating journal is unique, with a different emphasis on applications of instruments and instrumentation.
The five participating journals are as follows:
- Actuators (ISSN: 2076-0825) provides a platform for the science and technology of actuator materials, device design, and control systems. It publishes reviews (including comprehensive assessments on complete actuator products), regular research papers, and short notes. Actuators is led by its Editor-in-Chief, Prof. Dr. Kenji Uchino (The Pennsylvania State University, USA);
- AI Sensors (ISSN: 3042-5999) focuses on a field encompassing a wide range of technologies that enable machines to perceive, interpret, and interact with the world around them. With the rise in edge computing, these sensors are increasingly being deployed in decentralized environments, where data processing and decision making occur closer to the source of data. AI Sensors aims to bridge the gap between the AI, IoT, and sensor research communities, fostering collaboration and knowledge exchange to accelerate innovation in edge computing and AIoT sensing technologies. The journal is led by its Editor-in-Chief, Prof. Dr. Chengkuo Lee (National University of Singapore, Singapore);
- Instruments (ISSN: 2410-390X) publishes studies related to the design and application of instruments, apparatuses, and experimental techniques in disciplinary and interdisciplinary research. The journal’s main subject areas of interest include innovative design, methods, applications, metrological characterization, and the theory of all aspects of advanced instruments, including detectors, accelerators, sensors, transducers, signal generators, virtual instruments, etc. Instruments is led by its Editor-in-Chief, Prof. Dr. Antonio Ereditato (Enrico Fermi Institute, The University of Chicago, Chicago, USA);
- Micromachines (ISSN: 2072-666X) encourages submissions on micro/nano-scale structures, materials, devices, and systems, as well as related micro- and nanotechnology, from fundamental research to applications. Micromachines is led by its editor-in-chief, Prof. Dr. Ai-Qun Liu (The Hong Kong Polytechnic University, China);
- Sensors (ISSN: 1424-8220) provides a platform for the science and technology of sensors and their applications. It publishes comprehensive reviews, regular research papers, and data descriptors. It encourages scientists to publish their experimental and theoretical results in as much detail as possible, such that the results can be reproduced by readers. Sensors is led by its Editor-in-Chief, Prof. Dr. Vittorio M. N. Passaro (Politecnico di Bari, Italy).
Journal | Launch Year | Impact Factor (2023) | CiteScore (2023) | First Decision (Median Days) | APC (CHF) |
Actuators | 2012 | 2.2 | 4.3 | 17.7 | 2400 |
AI Sensors | 2025 | \ | \ | 18 | 1000 |
Instruments | 2017 | \ | 3.3 | 28 | 1400 |
Micromachines | 2010 | 3 | 6.0 | 16.2 | 2100 |
Sensors | 2001 | 3.4 | 8.2 | 18.6 | 2600 |
MDPI’s Mission and Values
As a pioneer of academic open access publishing, MDPI has been serving the scientific community since 1996. Our aim is to foster scientific exchange in all forms, across all disciplines. MDPI's guidelines for disseminating open science are based on the following values and guiding principles:
Open Access—All of our content is published as open access and distributed under a Creative Commons License, providing free access to the latest research, and allowing articles to be freely shared and content to be re-used with proper attribution;
Timeliness and Efficiency—We publish the latest research by providing a thorough editorial service, ensuring a first decision is provided to authors in under 32 days and papers are published within 7-10 days of acceptance for publication;
Simplicity—We offer user-friendly tools and services, all in-house, which enhances the efficiency of our editorial process;
High-Quality Service—We support scholars and their work by providing a range of options such as journal publication at mdpi.com, early publication at preprints.org, and conferences on sciforum.net, to make a positive impact on the research community;
Flexibility—We adapt and develop new tools and services to meet the changing needs of the research community, driven by feedback from authors, editors, and readers;
Rooted in Sustainability—We ensure the long-term preservation of published papers and support the future of science through partnerships, sponsorships, and awards.
By adhering to these values and principles, MDPI remains committed to advancing scientific knowledge and promoting open science practices.
Selected Topics and Special Issues:
- “New Trends in Robotics: Automation and Autonomous Systems”;
- “Federated Edge Intelligence for Next Generation AI Systems”;
- “Wide Bandgap Semiconductor Electronics and Devices”;
- “Advanced Array Signal Processing for B5G/6G: Models, Algorithms, and Applications”.
Selected Articles:
Actuators
“A Review of Electroactive Polymers in Sensing and Actuator Applications”
AI Sensors
“Students’ Burnout Symptoms Detection Using Smartwatch Wearable Devices: A Systematic Literature Review”
Instruments
“Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber”
Micromachines
“Recent Progress and Challenges of Implantable Biodegradable Biosensors”
Sensors
“Smart Sensors and Smart Data for Precision Agriculture: A Review”