World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 42 4078 3915 67 67 186 7780

Gary W. Chang publications per year

The chart shows the history of publications by Gary W. Chang between 1994 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gary W. Chang published across 33 years, from 1994 to 2026, averaging 6.5 papers a year. Output peaked at 23 publications in 2010. 14 of the 216 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1994 to 2026. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2010. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 2 publications 2000: 2 publications 2001: 3 publications 2002: 8 publications 2003: 3 publications 2004: 8 publications 2005: 2 publications 2006: 16 publications 2007: 10 publications 2008: 16 publications 2009: 10 publications 2010: 23 publications 2011: 5 publications 2012: 13 publications 2013: 13 publications 2014: 4 publications 2015: 7 publications 2016: 5 publications 2017: 8 publications 2018: 8 publications 2019: 2 publications 2020: 5 publications 2021: 3 publications 2022: 8 publications 2023: 5 publications 2024: 12 publications 2025: 12 publications 2026: 2 publications
1994 2026

216 publications in total across all disciplines

View publications per year as a table
Gary W. Chang: publications per year, 1994 to 2026
Year Publications
1994 1
1995 0
1996 0
1997 0
1998 0
1999 2
2000 2
2001 3
2002 8
2003 3
2004 8
2005 2
2006 16
2007 10
2008 16
2009 10
2010 23
2011 5
2012 13
2013 13
2014 4
2015 7
2016 5
2017 8
2018 8
2019 2
2020 5
2021 3
2022 8
2023 5
2024 12
2025 12
2026 2
Total 216
Download as CSV

Gary W. Chang publications per year - data summary

  • Gary W. Chang, a Electronics and Electrical Engineering scholar from National Chung Cheng University, has 216 publications recorded across 33 years, from 1994 to 2026.
  • The oldest publication on record dates to 1994 and the most recent to 2026.
  • The most productive year is 2010, with 23 publications.
  • The least productive year with any output is 1994, with 1 publication.
  • 4 of the 33 years in the span carry no publications at all (1995, 1996, 1997 and 1998).
  • The rate of publication averages 6.5 papers per year over the whole span, or 7.4 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 39 publications, 18% of the career total.
  • Split into equal eras - 1994-2004: 27 publications (2.5 per year); 2005-2015: 119 publications (10.8 per year); 2016-2026: 70 publications (6.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gary W. Chang 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 Gary W. Chang 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, 174–193 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: 186 publications — 25th percentile

25% 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
174–193 445 186
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
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

Gary W. Chang 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.
  • Gary W. Chang, a Electronics and Electrical Engineering scholar from National Chung Cheng University, records 186 publications - the 25th percentile of the discipline.
  • 25% of ranked Electronics and Electrical Engineering scientists score the same or lower than Gary W. Chang, and about 75% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Gary W. Chang ranks below 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).

Gary W. Chang 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 Gary W. Chang 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, 42 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: 42 D-Index — 42nd percentile

42% 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 42
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
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

Gary W. Chang 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.
  • Gary W. Chang, a Electronics and Electrical Engineering scholar from National Chung Cheng University, records 42 D-Index - the 42nd percentile of the discipline.
  • 42% of ranked Electronics and Electrical Engineering scientists score the same or lower than Gary W. Chang, and about 58% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Gary W. Chang 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

Gary W. Chang is a researcher affiliated with National Chung Cheng University in Taiwan specializing in engineering, with a focus on electrical and electronic engineering, control and systems engineering, energy engineering and power technology, mechanical engineering, and building and construction.

The core areas of their research include microgrid control and optimization, optimal power flow distribution, smart grid energy management, electric power system optimization, power quality and harmonics, power transformer diagnostics and insulation, and power systems and renewable energy.

Recent papers authored or coauthored by Gary W. Chang include the following:

  • "Coyote Optimization Algorithm-Based Approach for Strategic Planning of Photovoltaic Distributed Generation" (2020), published in IEEE Access
  • "Equilibrium Optimizer-Based Approach of PV Generation Planning in a Distribution System for Maximizing Hosting Capacity" (2022), published in IEEE Access
  • "Improving Voltage Ride-Through Capability of Grid-Tied Microgrid With Harmonics Mitigation" (2022), published in IEEE Transactions on Power Delivery
  • "A New Adaptive Inertia-Based Virtual Synchronous Generator with Even Inverter Output Power Sharing in Islanded Microgrid" (2023), published in IEEE Transactions on Industrial Electronics
  • "A Hybrid Approach for Time-Varying Harmonic and Interharmonic Detection Using Synchrosqueezing Wavelet Transform" (2021), published in Applied Sciences

Frequent coauthors in their work include:

  • Guangyao Li
  • Kha T. Nguyen
  • Christian Sinatra
  • Nguyen Cong Chinh
  • Yu-Jen Liu

Gary W. Chang's research has appeared prominently in several publication venues, including:

  • IEEE Access
  • IEEE Transactions on Power Delivery
  • 2022 IEEE Power & Energy Society General Meeting (PESGM)
  • 2022 20th International Conference on Harmonics & Quality of Power (ICHQP)
  • IET conference proceedings.

Best Publications

  • An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems

    G.W. Chang;S.Y. Chu;H.L. Wang

  • Experiences with Mixed Integer Linear Programming-Based Approaches in Short-Term Hydro Scheduling

    G.W. Chang;M. Aganagic;J.G. Waight;J. Medina

  • Interharmonics: Theory and Modeling

    A. Testa;M.F. Akram;R. Burch;G. Carpinelli

  • Test systems for harmonics modeling and simulation

    R. Abu-Hashim;R. Burch;G. Chang;M. Grady

  • An improved neural network-based approach for short-term wind speed and power forecast

    G.W. Chang;H.J. Lu;Y.R. Chang;Y.D. Lee

  • Radial-Basis-Function-Based Neural Network for Harmonic Detection

    Gary W Chang;Cheng-I Chen;Yu-Feng Teng

  • Modeling characteristics of harmonic currents generated by high-speed railway traction drive converters

    G.W. Chang;Hsin-Wei Lin;Shin-Kuan Chen

  • On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges

    Sarah Rönnberg;Math Bollen;Hortensia Amaris;Gary W. Chang

  • Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement

    Chien-Feng Yang;Gordon G. Lai;Chia-Hau Lee;Ching-Tzong Su

  • Measuring power system harmonics and interharmonics by an improved fast Fourier transform-based algorithm

    G.W. Chang;C.I. Chen;Y.J. Liu;M.C. Wu

  • A Two-Stage ADALINE for Harmonics and Interharmonics Measurement

    G.W. Chang;Cheng-I Chen;Quan-Wei Liang

  • A novel reference compensation current strategy for shunt active power filter control

    G.W. Chang;Tai-Chang Shee

  • Extended Real Model of Kalman Filter for Time-Varying Harmonics Estimation

    C.I. Chen;G.W. Chang;R.C. Hong;H.M. Li

  • Harmonic Analysis in Frequency and Time Domain

    A. Medina;J. Segundo;P. Ribeiro;W. Xu

  • Methods of Interfacing Rotating Machine Models in Transient Simulation Programs

    L. Wang;J. Jatskevich;V. Dinavahi;H.W. Dommel

  • An analytical approach for characterizing harmonic and interharmonic currents generated by VSI-fed adjustable speed drives

    G.W. Chang;Shin-Kuan Chen

  • Impact of aggregate linear load modeling on harmonic analysis: a comparison of common practice and analytical models

    R. Burch;G. Chang;C. Hatziadoniu;M. Grady

  • An Accurate Time-Domain Procedure for Harmonics and Interharmonics Detection

    Gary W Chang;Cheng-I Chen

  • Integrating Gray Data Preprocessor and Deep Belief Network for Day-Ahead PV Power Output Forecast

    Gary W. Chang;Heng-Jiu Lu

  • A Neural-Network-Based Method of Modeling Electric Arc Furnace Load for Power Engineering Study

    G.W. Chang;Cheng-I Chen;Yu-Jen Liu

  • Modeling devices with nonlinear Voltage-current Characteristics for harmonic studies

    G. Chang;C. Hatziadoniu;W. Xu;P. Ribeiro

  • A two-stage ADALINE for harmonics and interharmonics measurement

    Cheng-I Chen;Gary W. Chang

Frequent Co-Authors

Venkata Dinavahi
Venkata Dinavahi University of Alberta
Wilsun Xu
Wilsun Xu University of Alberta
Kai Strunz
Kai Strunz Technical University of Berlin
Neville R. Watson
Neville R. Watson University of Canterbury
Juri Jatskevich
Juri Jatskevich University of British Columbia
Math Bollen
Math Bollen Luleå University of Technology
Ali Davoudi
Ali Davoudi The University of Texas at Arlington
Reza Iravani
Reza Iravani University of Toronto
Peter W. Lehn
Peter W. Lehn University of Toronto
Surya Santoso
Surya Santoso The University of Texas at Austin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring 6 month certificate programs can be a strategic way to quickly gain specialized skills and enter the workforce. These short-term options often lead to well-paying roles in technical support, maintenance, and installation, complementing foundational engineering knowledge.

Career preferences also play a crucial role in professional satisfaction. Many individuals in technical fields identify as introverts, making it important to find suitable roles that match working styles. Exploring jobs for introverts that pay well can highlight career paths in electronics and electrical engineering that provide rewarding, low-visibility positions such as design, testing, and research.

Project management skills are increasingly valuable across engineering sectors. Online degree options like bachelor of project management programs offer a solid foundation for managing complex engineering projects. For those looking to accelerate their studies, online accelerated project management degree programs enable professionals to quickly acquire credentials and advance their careers without interrupting their current job.

Combining technical expertise with project management qualifications opens diverse pathways in the engineering industry, promoting both career growth and adaptability in a competitive job market.

Best Scientists Citing Gary W. Chang

Trending Scientists