Journal of Electrical Engineering and Technology

Aims & Scope

Journal of Electrical Engineering & Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the areas of electrical engineering technologies.

The scope of the JEET included the following: A-Electric Power Engineering [...] B-Electric Machinery and Power Electronics [...] C-Electrophysics & Applications [...] D-Information and Control [...] E-Electrical Facilities [...] The scope of the journal includes issues in the field of Electrical Engineering and Technology.

Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.

Papers based on novel methodologies and implementations, creative and innovative electrical engineering associated with the four scopes are particularly welcome but not restricted to the above topics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6

SJR (SCImago Journal Rank)

Year	Value
2024	0.412

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	46

Journal Rank

Year	Value
2024	13509

Journal Citation Indicator

Year	Value
2024	2275

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Abstracting & Indexing

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

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

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

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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.

• Electric Vehicles Charging Technology Review and Optimal Size Estimation

  Citation: 231

  Authors: Morris, Federica, Carola, Michela

• Vision-Based Human Activity Recognition System Using Depth Silhouettes: A Smart Home System for Monitoring the Residents

  Citation: 149

  Authors: Kibum, Ahmad, Maria

• Creating Knowledge Graph of Electric Power Equipment Faults Based on BERT–BiLSTM–CRF Model

  Citation: 146

  Authors: Fanqi, Shuaisong, Jingdong, Lei, Han

• A Techno-Economic Feasibility Analysis of an Autonomous Hybrid Renewable Energy Sources for University Building at Saudi Arabia

  Citation: 141

  Authors: Ahmad F., M. M., Shimaa

• Short-Term Load Forecasting Based on Deep Neural Networks Using LSTM Layer

  Citation: 128

  Authors: Bo-Sung, Rae-Jun, Kyung-Bin

• A Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting

  Citation: 104

  Authors: Usman, Zhanle

• Telemonitoring of Daily Activity Using Accelerometer and Gyroscope in Smart Home Environments

  Citation: 103

  Authors: Mouazma, Ahmad, Kibum

• Depth Images-based Human Detection, Tracking and Activity Recognition Using Spatiotemporal Features and Modified HMM

  Citation: 102

  Authors: Shaharyar, Ahmad, Daijin

• A Wrist Worn Acceleration Based Human Motion Analysis and Classification for Ambient Smart Home System

  Citation: 101

  Authors: Ahmad, Majid Ali Khan, Kibum

• A Review of State-of-the-art Techniques for PMSM Parameter Identification

  Citation: 82

  Authors: Hanwoong, Hyunjong, Changhyun, Hyungwoo

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