Recent Advances in Electrical & Electronic Engineering

Journal Impact Factor: 0.6
Scopus Cite Score: 1.9

Indexed in: EI Compendex, Scopus, ESCI

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Aims and Scope:
Recent Advances in Electrical & Electronic Engineering publishes high-quality research articles, full-length/mini reviews, and guest-edited thematic issues covering all major disciplines of engineering. The journal provides a platform for interdisciplinary research in fast-emerging areas, including but not limited to:

  • Electrical, Electronic, and Communication Engineering
  • Mechanical, Aerospace, and Automotive Engineering
  • Civil, Structural, and Urban Engineering
  • Computer Science, Artificial Intelligence, and Machine Learning
  • Robotics, Automation, and Autonomous Systems
  • Energy, Environmental, and Green Engineering
  • Biomedical, Bioengineering, and Biotechnology
  • Quantum Computing and Quantum Engineering
  • 3D Printing, Additive Manufacturing, and Industry 4.0
  • Internet of Things (IoT) and Smart Systems
  • Signal Processing, Sensors, and Instrumentation
  • Space Engineering, Satellite Technologies, and High-Performance Computing
  • Power Electronics and Smart Grids
  • Wireless Communication and 6G Networks
  • Semiconductor and Nanoelectronics
  • Cybersecurity in Electrical and Electronic Systems
  • Autonomous Electric Vehicles and Charging Infrastructure

The journal also welcomes articles focusing on innovative applications, emerging technologies, and advancements in engineering methodologies. Researchers in all fields of engineering will find Recent Advances in Electrical & Electronic Engineering an essential source of knowledge and innovation.

Recent Advances in Electrical & Electronic Engineering is an international, peer-reviewed open access journal on all aspects of electrical & electronic engineering, published continuously by Bentham Science Publishers.
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Editor-in-Chief:

  • Huiyu Zhou Department of Informatics
    University of Leicester
    Leicester
    UK

ISSN: 2352-0973

Special Issues With Active Call for Papers

Submission closes on: Nov 14, 2026
Flexible Wearable Circuits and Systems: Performance, Applications, and Emerging Frontiers

As a frontier field integrating materials science, electronic engineering, and biomedical engineering, flexible wearable circuits and systems are achieving high-precision sensing of biological signals, stable wireless interconnection, and dynamic environmental adaptation through innovative designs on flexible substrates. Such systems break through the limitations of traditional rigid electronic devices in terms of human body conformability, motion compatibility, and long-term wearability. Their core value lies in solving issues of signal integrity, energy efficiency, and reliability in flexible... see more

Submission closes on: Nov 09, 2026
Generative AI for Intelligent Fault Diagnosis and Maintenance in Power and Energy Systems

The increasing complexity of modern power and energy systems, driven by the integration of renewable resources and digitalization, demands more intelligent, proactive, and efficient approaches to system health management. Traditional methods for fault diagnosis and maintenance often struggle with the scale, volatility, and high-dimensional data generated by contemporary grid infrastructures. This special issue aims to explore the transformative potential of cutting-edge artificial intelligence technologies, particularly generative AI and other data-driven techniques, in advancing the state-of-the-art... see more

Submission closes on: Sep 12, 2026
Green Hydrogen Energy-Based Power Quality and Energy Management in Smart Grid

The increasing penetration of renewable energy sources in modern power systems enhances sustainability but introduces significant challenges in power quality, reliability, and energy management due to their intermittent and stochastic nature. Green hydrogen, produced through electrolysis powered by renewable energy, has emerged as a promising solution for overcoming these challenges by serving as both a clean energy carrier and a long-term storage medium. This topic on Green Hydrogen Energy Based Power Quality and Energy Management... see more

Submission closes on: Sep 11, 2026
Role of Innovative Technologies in Smart Industrial Systems and Management

The ever-increasing need for higher efficiency, smaller size, and lower cost makes the analysis, understanding, and design of industrial equipment extremely important, interesting, and even imperative in the smart industrial system and management. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the devices. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the subject of... see more

Submission closes on: Aug 13, 2026
Artificial Intelligence in Mechanical Manufacturing: From Machine Learning to Generative Pre-trained Transformer

As a cornerstone of industrial advancement, manufacturing is experiencing substantial transformations driven by technological innovations, societal demands, and a heightened focus on sustainability. A vital aspect of this evolution is the integration of Artificial Intelligence (AI) in mechanical manufacturing systems, which form the foundational structures of production processes. The application of AI in manufacturing methodologies has been pivotal in improving efficiency, precision, and adaptability. AI-driven technologies such as machine learning, predictive analytics, generative intelligence, and... see more

Submission closes on: May 17, 2026
Advances in Deep Learning and Machine Learning for Real-World Applications

In recent years, the fields of deep learning (DL) and machine learning (ML) have witnessed remarkable advancements, driven by the exponential growth of data availability, computational power, and algorithmic innovations. These technologies have transformed various aspects of our lives, from personal assistants on our smartphones to complex decision-making systems in industries. However, despite their theoretical sophistication, the true potential of DL and ML can only be realized through their successful application to real-world problems. While... see more