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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8595
World Ranking
3706
National Ranking
142

Atsushi Yona publications per year

2007: 23 publications 2008: 30 publications 2009: 47 publications 2010: 41 publications 2011: 40 publications 2012: 42 publications 2013: 20 publications 2014: 9 publications 2015: 13 publications 2016: 11 publications 2017: 14 publications 2018: 6 publications 2019: 6 publications 2020: 3 publications 2021: 4 publications 2022: 2 publications 2023: 7 publications 2024: 7 publications
2007 2024

325 publications in total across all disciplines

Atsushi Yona publication distribution in Electronics and Electrical Engineering in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2027. The highlighted bar marks where Atsushi Yona sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 314 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Atsushi Yona D-index placement in Electronics and Electrical Engineering in 2027

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2027. The highlighted bar marks where Atsushi Yona sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Atsushi Yona is affiliated with the University of the Ryukyus in Japan and has contributed extensively to the fields of engineering and energy. Their research focuses on several interconnected domains including electrical and electronic engineering, control and systems engineering, and renewable energy systems with a strong emphasis on sustainability and environmental impacts.

Their main fields of study encompass:

  • Engineering
  • Energy

Their subfields of study highlight a specialization in:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Renewable Energy, Sustainability and the Environment
  • Pollution
  • Energy Engineering and Power Technology

Atsushi Yona's research covers key topics such as:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy and Environment Impacts
  • Hybrid Renewable Energy Systems
  • Photovoltaic System Optimization Techniques
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution

Recent papers authored or co-authored by Atsushi Yona include:

  • "Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network," 2020, International Journal of Electrical Power & Energy Systems
  • "A coherent strategy for peak load shaving using energy storage systems," 2020, Journal of Energy Storage
  • "Technical and Economic Analysis of an HVDC Transmission System for Renewable Energy Connection in Afghanistan," 2022, Sustainability
  • "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," 2023, Renewable Energy
  • "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," 2021, Sustainability

The publication venues where Atsushi Yona has frequently contributed include:

  • Sustainability
  • Renewable Energy
  • Energies
  • SSRN Electronic Journal
  • International Journal of Electrical Power & Energy Systems

Frequent collaborators in their research efforts are:

  • Tomonobu Senjyu
  • Mikaeel Ahmadi
  • Hameedullah Zaheb
  • Mir Sayed Shah Danish
  • Paras Mandal

Best Publications

  • Optimal Distribution Voltage Control and Coordination With Distributed Generation

    T. Senjyu;Y. Miyazato;A. Yona;N. Urasaki

  • Application of neural network to 24-hour-ahead generating power forecasting for PV system

    A. Yona;T. Senjyu;A.Y. Saber;T. Funabashi

  • A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS

    A Uehara;A Pratap;T Goya;T Senjyu

  • A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System

    M Datta;T Senjyu;A Yona;T Funabashi

  • A Hybrid Smart AC/DC Power System

    K Kurohane;T Senjyu;A Yona;N Urasaki

  • Optimal configuration of power generating systems in isolated island with renewable energy

    Tomonobu Senjyu;Daisuke Hayashi;Atsushi Yona;Naomitsu Urasaki

  • A hybrid smart AC/DC power system

    Kyohei Kurohane;Tomonobu Senjyu;Akie Uehara;Atsushi Yona

  • A review of output power smoothing methods for wind energy conversion systems

    Abdul Motin Howlader;Naomitsu Urasaki;Atsushi Yona;Tomonobu Senjyu

  • A Coordinated Control Method for Leveling PV Output Power Fluctuations of PV–Diesel Hybrid Systems Connected to Isolated Power Utility

    M. Datta;T. Senjyu;A. Yona;T. Funabashi

  • Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction

    A. Yona;T. Senjyu;T. Funabashi;Chul-Hwan Kim

  • Notice of Violation of IEEE Publication Principles A Hybrid ARIMA and Neural Network Model for Short-Term Price Forecasting in Deregulated Market

    P. Areekul;T. Senjyu;H. Toyama;A. Yona

  • Application of Recurrent Neural Network to Short-Term-Ahead Generating Power Forecasting for Photovoltaic System

    A. Yona;T. Senjyu;T. Funabashi

  • Decentralised control of voltage in distribution systems by distributed generators

    K. Tanaka;M. Oshiro;S. Toma;A. Yona

  • Application of Neural Network to One-Day-Ahead 24 hours Generating Power Forecasting for Photovoltaic System

    A. Yona;T. Senjyu;A.Y. Saber;T. Funabashi

  • Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics

    T Goya;E Omine;Y Kinjyo;T Senjyu

  • Unit commitment computation by fuzzy adaptive particle swarm optimisation

    A.Y. Saber;T. Senjyu;A. Yona;T. Funabashi

  • Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation

    S. Chakraborty;T. Senjyu;A. Yona;A.Y. Saber

  • Optimal Voltage Control Using Inverters Interfaced With PV Systems Considering Forecast Error in a Distribution System

    Zakaria Ziadi;Masato Oshiro;Tomonobu Senjyu;Atsushi Yona

  • Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

    K. Tanaka;K. Uchida;K. Ogimi;T. Goya

  • Gain scheduling control of variable speed WTG under widely varying turbulence loading

    Endusa Billy Muhando;Tomonobu Senjyu;Naomitsu Urasaki;Atsushi Yona

  • Application of Neural Network to 24-hours-Ahead Generating Power Forecasting for PV System

    Atsushi Yona;Tomonobu Senjyu;Toshihisa Funabshi;Hideomi Sekine

Frequent Co-Authors

Tomonobu Senjyu
Tomonobu Senjyu University of the Ryukyus
Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Paras Mandal
Paras Mandal The University of Texas at El Paso
Jung-Wook Park
Jung-Wook Park Yonsei University
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University

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