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Yonghua Song

Yonghua Song

University of Macau
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 74 723 690 116 116 316 19134

Yonghua Song publications per year

The chart shows the history of publications by Yonghua Song between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yonghua Song published across 29 years, from 1997 to 2025, averaging 17.4 papers a year. Output peaked at 79 publications in 2025. 118 of the 506 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 79. Peak 79 publications in 2025. 1997: 3 publications 1998: 3 publications 1999: 3 publications 2000: 1 publication 2001: 2 publications 2002: 1 publication 2003: 3 publications 2004: 0 publications 2005: 2 publications 2006: 0 publications 2007: 0 publications 2008: 10 publications 2009: 1 publication 2010: 3 publications 2011: 5 publications 2012: 9 publications 2013: 11 publications 2014: 15 publications 2015: 12 publications 2016: 21 publications 2017: 37 publications 2018: 24 publications 2019: 42 publications 2020: 41 publications 2021: 41 publications 2022: 45 publications 2023: 53 publications 2024: 39 publications 2025: 79 publications
1997 2025

506 publications in total across all disciplines

View publications per year as a table
Yonghua Song: publications per year, 1997 to 2025
Year Publications
1997 3
1998 3
1999 3
2000 1
2001 2
2002 1
2003 3
2004 0
2005 2
2006 0
2007 0
2008 10
2009 1
2010 3
2011 5
2012 9
2013 11
2014 15
2015 12
2016 21
2017 37
2018 24
2019 42
2020 41
2021 41
2022 45
2023 53
2024 39
2025 79
Total 506
Download as CSV

Yonghua Song publications per year - data summary

  • Yonghua Song, a Electronics and Electrical Engineering scholar from University of Macau, has 506 publications recorded across 29 years, from 1997 to 2025.
  • The oldest publication on record dates to 1997 and the most recent to 2025.
  • The most productive year is 2025, with 79 publications.
  • The least productive years with any output are 2000, 2002 and 2009, with 1 publication each.
  • 3 of the 29 years in the span carry no publications at all (2004, 2006 and 2007).
  • The rate of publication averages 17.4 papers per year over the whole span, or 19.5 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 257 publications, 51% of the career total.
  • Split into equal eras - 1997-2006: 18 publications (1.8 per year); 2007-2016: 87 publications (8.7 per year); 2017-2025: 401 publications (44.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Yonghua Song 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 Yonghua Song 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: 316 publications — 61st percentile

61% 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
314–333 276 316
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
Download as CSV

Yonghua Song 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.
  • Yonghua Song, a Electronics and Electrical Engineering scholar from University of Macau, records 316 publications - the 61st percentile of the discipline.
  • 61% of ranked Electronics and Electrical Engineering scientists score the same or lower than Yonghua Song, and about 39% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Yonghua Song 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).

Yonghua Song 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 Yonghua Song 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, 74 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: 74 D-Index — 90th percentile

90% 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
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 74
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

Yonghua Song 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.
  • Yonghua Song, a Electronics and Electrical Engineering scholar from University of Macau, records 74 D-Index - the 90th percentile of the discipline.
  • 90% of ranked Electronics and Electrical Engineering scientists score the same or lower than Yonghua Song, and about 10% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Yonghua Song ranks above 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).

Research.com Recognitions

  • 2019 - Member of Academia Europaea
  • 2008 - IEEE Fellow For contributions to optimization techniques for power systems
  • 2004 - Fellow of the Royal Academy of Engineering (UK)

Overview

Yonghua Song is affiliated with the University of Macau in China and has an extensive publication record primarily in the field of Engineering. Their research spans multiple subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering, and Artificial Intelligence.

Their scholarly output focuses on several main topics, such as:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Energy Load and Power Forecasting
  • Electric Power System Optimization
  • Hybrid Renewable Energy Systems
  • Integrated Energy Systems Optimization

Song has contributed to prominent publication venues with high frequency, including:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • Applied Energy
  • IEEE Transactions on Sustainable Energy

Recent research publications by Yonghua Song include:

  • "Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities," 2021, Journal of Cleaner Production
  • "Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service," 2022, IEEE Transactions on Sustainable Energy
  • "Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost," 2021, IEEE Transactions on Smart Grid
  • "Power and Transport Nexus: Routing Electric Vehicles to Promote Renewable Power Integration," 2020, IEEE Transactions on Smart Grid
  • "Pressure control strategy to extend the loading range of an alkaline electrolysis system," 2021, International Journal of Hydrogen Energy

Collaboration is a notable aspect of Song's research, with frequent co-authors including Hongcai Zhang, Jin Lin, Hongxun Hui, Yi Ding, and Yiwei Qiu.

In addition to journal articles, Song has contributed to academic books, including a publication with Springer Science+Business Media titled Hydrogen Integration in Energy Systems: Modeling, Optimization, and Reliability Evaluation, expected in 2025.

Song's professional recognition includes the following awards and honors:

  • Fellow of the Royal Academy of Engineering (UK), 2004
  • IEEE Fellow, 2008, for contributions to optimization techniques for power systems
  • Member of Academia Europaea, 2019

Best Publications

  • Flexible AC Transmission Systems (FACTS)

    Yong Hua Song;Allan T. Johns

  • Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

    Tanveer Ahmad;Tanveer Ahmad;Dongdong Zhang;Chao Huang;Chao Huang;Hongcai Zhang

  • Photovoltaic and solar power forecasting for smart grid energy management

    Can Wan;Jian Zhao;Yonghua Song;Zhao Xu

  • Modern Power Systems Analysis

    Xi-Fan Wang;Yonghua Song;Malcolm Irving

  • Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands

    Hui Liu;Zechun Hu;Yonghua Song;Jin Lin

  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential

    Hongxun Hui;Yi Ding;Qingxin Shi;Fangxing Li

  • PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

    Hongcai Zhang;Scott J. Moura;Zechun Hu;Yonghua Song

  • Vehicle-to-Grid Control for Supplementary Frequency Regulation Considering Charging Demands

    Hui Liu;Zechun Hu;Yonghua Song;Jianhui Wang

  • A Comprehensive Review on the Development of Sustainable Energy Strategy and Implementation in China

    Xia Yang;Yonghua Song;Guanghui Wang;Weisheng Wang

  • Operation Optimization of Power to Hydrogen and Heat (P2HH) in ADN Coordinated With the District Heating Network

    Unknown

  • Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation

    Can Wan;Jin Lin;Jianhui Wang;Yonghua Song

  • Modeling and Integration of Flexible Demand in Heat and Electricity Integrated Energy System

    Changzheng Shao;Yi Ding;Jianhui Wang;Yonghua Song

  • An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area

    Hongcai Zhang;Zechun Hu;Zhiwei Xu;Yonghua Song

  • Experimental study of a new hybrid PSO with mutation for economic dispatch with non-smooth cost function

    Haiyan Lu;Pichet Sriyanyong;Yong Hua Song;Tharam Dillon

  • Optimal siting and sizing of electric vehicle charging stations

    Long Jia;Zechun Hu;Yonghua Song;Zhuowei Luo

  • Value of the energy storage system in an electric bus fast charging station

    Huajie Ding;Zechun Hu;Yonghua Song

  • Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model

    Kaixuan Chen;Jin Lin;Yonghua Song;Yonghua Song

  • A Hierarchical Framework for Coordinated Charging of Plug-In Electric Vehicles in China

    Zhiwei Xu;Wencong Su;Zechun Hu;Yonghua Song

  • Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach

    Can Wan;Jin Lin;Yonghua Song;Zhao Xu

  • An Internet of Energy Things Based on Wireless LPWAN

    Yonghua Song;Yonghua Song;Jin Lin;Ming Tang;Ming Tang;Shufeng Dong;Shufeng Dong

  • Optimal Cloud Computing Resource Allocation for Demand Side Management in Smart Grid

    Zijian Cao;Jin Lin;Can Wan;Yonghua Song

  • Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant

    Huajie Ding;Zechun Hu;Yonghua Song

  • Optimal Coordination of Plug-In Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part I: Enabling Techniques

    Zhuowei Luo;Zechun Hu;Yonghua Song;Zhiwei Xu

Frequent Co-Authors

Zechun Hu
Zechun Hu Tsinghua University
Yi Ding
Yi Ding Zhejiang University
Can Wan
Can Wan Zhejiang University
Feng Liu
Feng Liu Tsinghua University
Scott J. Moura
Scott J. Moura University of California, Berkeley
Chenghong Gu
Chenghong Gu University of Bath
Furong Li
Furong Li University of Bath
Pierre Pinson
Pierre Pinson Technical University of Denmark
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Gregory Levitin
Gregory Levitin Southwest Jiaotong University

External Links

Wikipedia of Yonghua Song Personal website of Yonghua Song

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