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Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
H-index 3

Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 538 7 19 2

Additional Metrics

Number of Best Scientists*: 15
Documents by Best Scientists*: 25
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 34
SCIMAGO SJR: 0.168
Impact Factor: 0.6

Overview

Top Research Topics at Electrical Engineering in Japan?

The scientific interests tackled in the journal are Electrical engineering, Control theory, Electronic engineering, Electric power system and Voltage. Electrical engineering research featured in the journal incorporates concerns from various other topics such as Power (physics) and Mechanics. Electrical Engineering in Japan focuses on Control theory but the discussions also offer insight into other areas such as Control engineering and Induction motor.

The Electric power system study tackled is a key component of adjacent topics in the area of Electrical network.

  • Electrical engineering (26.78%)
  • Control theory (25.91%)
  • Electronic engineering (14.04%)

What are the most cited papers published in the journal?

  • Confinement and transportation of charged aerosol clouds via electric curtain (118 citations)
  • Generalized Theory of the Instantaneous Reactive Power and its Application (111 citations)
  • New from mcgraw‐hill magnetofluid dynamics for engineers and applied physicists (89 citations)

Research areas of the most cited articles at Electrical Engineering in Japan:

The journal papers mainly tackle studies in Electrical engineering, Control theory, Electronic engineering, Electric power system and Power (physics). While the primary focus in the published papers is Electrical engineering, they also dissect topics surrounding Energy storage and Inverter as a whole. The journal publications with studies in Control theory featured incorporate elements of Maximum power point tracking, Wind speed and Control engineering.

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

  • Quantum mechanics
  • Artificial intelligence
  • Electrical engineering

The previous edition focused in particular on these issues:

Electrical Engineering in Japan mainly deals with areas of study such as Electrical engineering, Control theory, Automotive engineering, Mechanics and Optoelectronics. Many of the studies tackled connect Electrical engineering with a similar field of study like Motor drive. The concepts on Control theory presented in Electrical Engineering in Japan can also apply to other research fields, including Dual (category theory), Bridge (interpersonal), Reduction (complexity), Current (fluid) and All-pass filter.

Some problems in Automotive engineering that were presented in it overlapped with concepts under Hydrogen, Control (management), Microgrid and Electric power system. While it focused on Mechanics, it was also able to explore topics like Non-equilibrium thermodynamics, Torque, Angular velocity and Saturation (magnetic). Concepts in Capacitive sensing, as well as related topics in Sensitization, Quartz, Crystal and Thermal conductivity, are covered in the Optoelectronics research presented in the journal.

The most cited articles from the last journal are:

  • Development of silicon wafer packaging technology for deep UV LED (2 citations)
  • Development of exoskeleton haptic device using powder brake and constant torque spring (1 citations)
  • Torque control of a series elastic actuator using an ultrasonic motor with angular-velocity saturation (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 Electrical Engineering in Japan (based on the number of publications) are:

  • Hirofumi Akagi (68 papers) absent at the last edition,
  • Yasuji Sekine (52 papers) absent at the last edition,
  • Sakutaro Nonaka (51 papers) absent at the last edition,
  • Jun Hasegawa (35 papers) absent at the last edition,
  • Yoshihiro Okuno (33 papers) absent at the last 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 Electrical Engineering in Japan (based on the number of publications) are:

  • University of Tokyo (325 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • Hitachi (320 papers) published 7 papers at the last edition, 4 more than at the previous edition,
  • Tokyo Institute of Technology (274 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Mitsubishi Electric (268 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Nagoya University (251 papers) published 3 papers at the last edition, 2 more 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, 9.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 22.03% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.56% of all publications and 18.64% 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

  • Negative quadrant glitch suppression control of ball‐screw‐driven stage for machine tool by friction compensation and initial value compensation

    (2022)
    4 Citations
  • Stability improvement of power system by cooperative virtual inertia control and reactive power control of PMSG wind generator and battery

    (2021)
    3 Citations
  • Verifying the calculation approach for radial suspension force based on the airgap flux density for SPM, consequent‐pole, and bearingless AC homopolar motors

    (2022)
    2 Citations
  • Development of small‐diameter haptic flexible gripping forceps robot

    Takuya Matsunaga;Kouhei Ohnishi;Norihito Wada;Yuko Kitagawa

    (2020)
    2 Citations
  • Virtual synchronous generator control of power system including large‐scale wind farm by cooperative operation between battery and LFC hydro power plant

    (2021)
    2 Citations
  • Reduction of magnetic field by low‐order harmonics in magnetic resonant wireless power transfer system using high‐frequency switching

    (2022)
    2 Citations
  • Novel dynamic wireless power transfer system using in‐tire and in‐wheel repeater coil for battery electric vehicles

    (2022)
    1 Citations
  • Simulation analyses of stabilization control of power system frequency fluctuations resulting from wind farm output by gas turbine thermal power plant

    (2020)
    1 Citations
  • A grid frequency control on small scale power system by introduction of variable speed diesel‐driven power plant

    (2022)
    1 Citations
  • Driving force controller considering lateral slip based on brush model for traction control of independent-four-wheel-drive electric vehicle

    Hiroyuki Fuse;Hiroshi Fujimoto

    (2021)
    1 Citations

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