Journal of Mechatronics, Electrical Power, and Vehicular Technology

Aims & Scope

Journal of Mechatronics, Electrical Power, and Vehicular Technology (MEV) is a journal aims to be a peer-reviewed platform and an authoritative source of information.

We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular technology.

All papers are peer-reviewed by at least two referees.

MEV is managed to be issued twice in every volume.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Energy and Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Plagiarism url
• Apc url

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, Energy and Engineering, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Bi-fluid cooling effect on electrical characteristics of flexible photovoltaic panel

  Citation: 16

  Authors: Nurul Shahirah, Ahmad, Putri Adia, Cheku Nurul, Andri Joko, Rakhmad Indra, Erie, Ant. Ardath, Nilofar, Mohammad Hossein, Hazim, Husam Abdulrasool, Zeki Ahmed

• The Performance of EEG-P300 Classification using Backpropagation Neural Networks

  Citation: 16

  Authors: Arjon, Demi

• Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system

  Citation: 16

  Authors: Dwi, Herlambang, Muhammad Ruswandi

• Comparison between RLS-GA and RLS-PSO for Li-ion battery SOC and SOH estimation: a simulation study

  Citation: 15

  Authors: Latif, Estiko, Stratis

• Review on the application of physiological and biomechanical measurement methods in driving fatigue detection

  Citation: 14

  Authors: Kadek Heri, Soomin, Tetsuo

• Hardware simulation of automatic braking system based on fuzzy logic control

  Citation: 14

  Authors: Noor Cholis, Kuspriyanto, Suhendar, Didin, Virna Apriani

• Optimal selection of LQR parameter using AIS for LFC in a multi-area power system

  Citation: 12

  Authors: Muhammad, Herlambang, Adelhard Beni, Karar, Imam Wahyudi, Adi

• Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation

  Citation: 12

  Authors: M. Nisvo, Bhisma Adji, Sigit Agung, Lora Khaula, Adha, Oyas

• Artificial intelligence in smart grids: A bibliometric analysis and scientific mapping study

  Citation: 11

  Authors: Georgios

• Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm

  Citation: 9

  Authors: Muhammad Ruswandi, Herlambang, Andi