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IEEJ Journal of Industry Applications
H-index 11

IEEJ Journal of Industry Applications

2187-1094

Published by: The Institute of Electrical Engineers of Japan

https://www.jstage.jst.go.jp/browse/ieejjia

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 329 47 114 10

Additional Metrics

Number of Best Scientists*: 64
Documents by Best Scientists*: 129
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 28
SCIMAGO SJR: 0.421
Impact Factor: 1.1

Overview

Top Research Topics at IEEJ journal of industry applications?

The topics of Control theory, Electrical engineering, Electronic engineering, Control engineering and Automotive engineering are the focal point of discussions in IEEJ journal of industry applications. Disturbance observer is a key component of Control theory research discussed in it. Presentations on Electrical engineering include those discussing Dc dc converter, Inverter and Transformer.

  • Control theory (40.25%)
  • Electrical engineering (15.80%)
  • Electronic engineering (11.40%)

What are the most cited papers published in the journal?

  • Milestones in Matrix Converter Research (76 citations)
  • Sensorless Control of IPMSM: Past, Present, and Future (53 citations)
  • Advanced motion control for precision mechatronics: control, identification, and learning of complex systems (45 citations)

Research areas of the most cited articles at IEEJ journal of industry applications:

The main points discussed in the most cited papers deal with Control theory, Electrical engineering, Control engineering, Electronic engineering and Boost converter. The published articles in Decoupling (electronics) fall within the purview of Control theory but it also intertwines with topics in Control (linguistics). The journal papers explore issues in Boost converter which can be linked to other research areas like Power factor, Topology (electrical circuits) and Buck converter.

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

  • Electrical engineering
  • Mechanical engineering
  • Voltage

The previous edition focused in particular on these issues:

The main points discussed in IEEJ journal of industry applications deals with Control theory, Electrical engineering, Control (management), Current (fluid) and Automotive engineering. Some problems in Control theory that were presented in IEEJ journal of industry applications overlapped with concepts under Inverter, Voltage and Dual (category theory). Topics in Voltage explored in the journal were investigated in conjunction with research in Optoelectronics and Position (vector).

Dc dc converter and Soft switching research are fields of study within Electrical engineering but they also intertwine with concepts in Single phase. The journal explores issues in Control (management) which can be linked to other research areas like Field-programmable gate array and Disturbance (geology). It focuses on Automotive engineering but the discussions also offer insight into other areas such as Electric vehicle and Energy management.

The most cited articles from the last journal are:

  • Position-based High Backdrivable Control Using Load-side Encoder and Backlash (2 citations)
  • Indoor Location Estimation by Bluetooth Low Energy for Pedestrian Navigation (2 citations)
  • Motion Control, Mechatronics Design, and Moore's Law (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 IEEJ journal of industry applications (based on the number of publications) are:

  • Kiyoshi Ohishi (39 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Seiichiro Katsura (38 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Jun-ichi Itoh (31 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Yuki Yokokura (29 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Hiroshi Fujimoto (25 papers) published 5 papers at the last edition the same number as 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 IEEJ journal of industry applications (based on the number of publications) are:

  • Nagaoka University of Technology (84 papers) published 12 papers at the last edition, 2 more than at the previous edition,
  • Keio University (74 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • Yokohama National University (42 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • University of Tokyo (38 papers) published 6 papers at the last edition, 6 less than at the previous edition,
  • Hitachi (25 papers) published 4 papers at the last edition, 1 less than at the previous 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, 6.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 51.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.60% of all publications and 15.60% 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

  • Motion Control, Mechatronics Design, and Moore's Law

    Maarten Steinbuch;Tom Oomen;Hans Vermeulen;Hans Vermeulen

    (2021)
    32 Citations
  • Projection-based Iterative Learning Control for Ball-screw-driven Stage with Consideration of Rolling Friction Compensation

    Takumi Hayashi;Hiroshi Fujimoto;Yoshihiro Isaoka;Yuki Terada

    (2020)
    18 Citations
  • Coil Scaling Law of Wireless Power Transfer Systems for Electromagnetic Field Leakage Evaluation for Electric Vehicles

    Hayato Sumiya;Eisuke Takahashi;Nobuhisa Yamaguchi;Keisuke Tani

    (2021)
    16 Citations
  • A Novel Particle Jump Particle Swarm Optimization Method for PV MPPT Control under Partial Shading Conditions

    Bingcheng Ji;Katsuhiro Hata;Takehiro Imura;Yoichi Hori

    (2020)
    13 Citations
  • Wireless Power Transfer System Design with Power Management Strategy Control for Lunar Rover

    Bingcheng Ji;Katsuhiro Hata;Takehiro Imura;Yoichi Hori

    (2020)
    13 Citations
  • Mission-Profile-Based Testing Scheme for Sub-Modules in Modular Multilevel Converter

    Yunxiao Yang;Weiyao Wang;Ke Ma

    (2020)
    13 Citations
  • Harmonic Current Reduction Control Based on Model Predictive Direct Current Control of IPMSM and Input Grid Circuit

    Yushi Araki;Kodai Abe;Kiyoshi Ohishi;Yuki Yokokura

    (2020)
    12 Citations
  • Using Machine Learning to Reduce Design Time for Permanent Magnet Volume Minimization in IPMSMs for Automotive Applications

    Yuki Shimizu;Shigeo Morimoto;Masayuki Sanada;Yukinori Inoue

    (2021)
    12 Citations
  • Comparison of Four Resonant Topologies Based on Unified Design Procedure for Capacitive Power Transfer

    (2021)
    11 Citations
  • In-Tool Motion Sensing for Evaluation of Violin Performance

    Kodai Fujisaki;Seiichiro Katsura

    (2021)
    10 Citations

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