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Transactions of the Korean Institute of Electrical Engineers
H-index 4

Transactions of the Korean Institute of Electrical Engineers

1975-8359

Published by: Korean Institute of Electrical Engineers

http://journal.auric.kr/kiee/AboutJournal

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 500 14 66 3
Engineering and Technology 1384 11 20 2

Additional Metrics

Number of Best Scientists*: 59
Documents by Best Scientists*: 128
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 13
SCIMAGO SJR: 0.149
Impact Factor: N/A

Overview

Top Research Topics at The Transactions of the Korean Institute of Electrical Engineers?

The primary areas of discussion in the journal are Control theory, Electrical engineering, Electronic engineering, Voltage and Power (physics). While work presented in The Transactions of the Korean Institute of Electrical Engineers provided substantial information on Control theory, it also covered topics in Control engineering, Induction motor and Electric power system. The work on Electrical engineering presented in the journal focuses on Transformer in particular.

  • Control theory (20.57%)
  • Electrical engineering (18.84%)
  • Electronic engineering (14.58%)

What are the most cited papers published in the journal?

  • A Study on the Optimal Design of Polynomial Neural Networks Structure (20 citations)
  • 음성신호기반의 감정분석을 위한 특징벡터 선택 (20 citations)
  • A Line to Ground Fault Location Algorithm for Underground Cable System (14 citations)

Research areas of the most cited articles at The Transactions of the Korean Institute of Electrical Engineers:

The journal articles primarily tackle Control theory, Electric power system, Electrical engineering, Control (management) and Control system. Inertial navigation system, Filter (signal processing) and State (computer science) are some topics wherein Control theory research discussed in the journal publications has an impact. The most cited publications are mostly focused on Electrical engineering, specifically Line (electrical engineering).

What topics the last edition of the journal is best known for?

  • Artificial intelligence
  • Mechanical engineering
  • Electrical engineering

The previous edition focused in particular on these issues:

The journal was organized to reinforce research efforts on Artificial intelligence, Control theory, Electrical engineering, Automotive engineering and Computer vision. The journal focuses on Artificial intelligence research which is adjacent to topics in Pattern recognition. Image (mathematics) is a major topic of Computer vision research.

The most cited articles from the last journal are:

  • Development of Enzymatic Ethanol Sensor Based on PdCu Electrodeposited Laser Induced Graphene Electrode (1 citations)
  • Multi-modal Emotion Recognition using Speech Features and Text Embedding (1 citations)
  • Impact of BESS Charging/Discharging Efficiency and Electricity Price Fluctuation on the Reduction of Electricity Bill (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in The Transactions of the Korean Institute of Electrical Engineers (based on the number of publications) are:

  • Sung-Kwun Oh (64 papers) published 1 paper at the last edition,
  • Jae-Chul Kim (56 papers) absent at the last edition,
  • Chul-Won Park (55 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Chul-Hwan Kim (54 papers) published 9 papers at the last edition,
  • Jong-Gyeum Kim (46 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in The Transactions of the Korean Institute of Electrical Engineers (based on the number of publications) are:

  • Korea University (28 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Yonsei University (27 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Hanyang University (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Gangneung–Wonju National University (12 papers) absent at the last edition,
  • Gyeongsang National University (10 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 96.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Optimized-XGBoost Learner Based Bagging Model for Photovoltaic Power Forecasting

    (2020)
    9 Citations
  • Optimal Placement and Sizing of Multi-Type Distributed Generation Considering Voltage Profile Improvement and Power Loss Minimization

    S Jarjees Ul Hassan;Waseem Haider;Arif Mehdi;Teke Gush

    (2021)
    4 Citations
  • Transparent Electromagnetic Wave Shielding Film of ITO/Ag/ITO

    (2022)
    4 Citations
  • Development of Vascular Aging Assessment Model Based on Photoplethysmogram Incident and Reflected Wave Characteristics

    (2021)
    2 Citations
  • Analysis of Selective Emitter Formation Technology of n-TOPCon Solar Cell

    (2022)
    2 Citations
  • An Intelligent Photovoltaic Power Forecasting Model based on Bagged-Boosted STACK Support Vector Regression with Kernel Linear

    Gerardo Ondo Micha;Chul-Hwan Kim

    (2021)
    2 Citations
  • Smart Hospital Advancements and Future Perspectives in South Korea

    (2023)
    1 Citations
  • Local Navigation Using Weight Learning on Image Features

    Jong-Ha Choi;DaeEun Kim

    (2020)
    1 Citations
  • Feasibility Study of Ultra-Short-Term Heart Rate Variability in Recovery Condition after Exercise

    (2020)
    1 Citations
  • A Study on Photovoltaic Output Prediction Uncertainty and Intermittency Compensation Method

    (2021)
    1 Citations

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