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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 44 3706 3560 142 134 314 8595

Atsushi Yona publications per year

The chart shows the history of publications by Atsushi Yona between 2007 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Atsushi Yona published across 18 years, from 2007 to 2024, averaging 18.1 papers a year. Output peaked at 47 publications in 2009. 14 of the 325 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2007 to 2024. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2009. 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

View publications per year as a table
Atsushi Yona: publications per year, 2007 to 2024
Year Publications
2007 23
2008 30
2009 47
2010 41
2011 40
2012 42
2013 20
2014 9
2015 13
2016 11
2017 14
2018 6
2019 6
2020 3
2021 4
2022 2
2023 7
2024 7
Total 325
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Atsushi Yona publications per year - data summary

  • Atsushi Yona, a Electronics and Electrical Engineering scholar from University of the Ryukyus, has 325 publications recorded across 18 years, from 2007 to 2024.
  • The oldest publication on record dates to 2007 and the most recent to 2024.
  • The most productive year is 2009, with 47 publications.
  • The least productive year with any output is 2022, with 2 publications.
  • The rate of publication averages 18.1 papers per year over the whole span, or 18.1 per year counting only the 18 years with at least one publication.
  • The last 5 years on the chart (2020-2024) hold 23 publications, 7% of the career total.
  • Split into equal eras - 2007-2012: 223 publications (37.2 per year); 2013-2018: 73 publications (12.2 per year); 2019-2024: 29 publications (4.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Atsushi Yona publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Atsushi Yona sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 314–333 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276 314
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Atsushi Yona publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Atsushi Yona, a Electronics and Electrical Engineering scholar from University of the Ryukyus, records 314 publications - the 60th percentile of the discipline.
  • 60% of ranked Electronics and Electrical Engineering scientists score the same or lower than Atsushi Yona, and about 40% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Atsushi Yona ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Atsushi Yona D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Atsushi Yona sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 44 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155 44
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Atsushi Yona D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Atsushi Yona, a Electronics and Electrical Engineering scholar from University of the Ryukyus, records 44 D-Index - the 47th percentile of the discipline.
  • 47% of ranked Electronics and Electrical Engineering scientists score the same or lower than Atsushi Yona, and about 53% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Atsushi Yona ranks below the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

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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