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Qi-Jun Zhang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 59 1719 1647 86 80 372 15353

Qi-Jun Zhang publications per year

The chart shows the history of publications by Qi-Jun Zhang between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qi-Jun Zhang published across 41 years, from 1985 to 2025, averaging 11.6 papers a year. Output peaked at 41 publications in 2023. 67 of the 475 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2023. 1985: 1 publication 1986: 3 publications 1987: 3 publications 1988: 6 publications 1989: 5 publications 1990: 2 publications 1991: 5 publications 1992: 10 publications 1993: 8 publications 1994: 14 publications 1995: 16 publications 1996: 11 publications 1997: 8 publications 1998: 10 publications 1999: 8 publications 2000: 9 publications 2001: 6 publications 2002: 6 publications 2003: 9 publications 2004: 5 publications 2005: 6 publications 2006: 7 publications 2007: 8 publications 2008: 13 publications 2009: 6 publications 2010: 14 publications 2011: 5 publications 2012: 9 publications 2013: 8 publications 2014: 6 publications 2015: 15 publications 2016: 20 publications 2017: 9 publications 2018: 11 publications 2019: 15 publications 2020: 18 publications 2021: 26 publications 2022: 26 publications 2023: 41 publications 2024: 29 publications 2025: 38 publications
1985 2025

475 publications in total across all disciplines

View publications per year as a table
Qi-Jun Zhang: publications per year, 1985 to 2025
Year Publications
1985 1
1986 3
1987 3
1988 6
1989 5
1990 2
1991 5
1992 10
1993 8
1994 14
1995 16
1996 11
1997 8
1998 10
1999 8
2000 9
2001 6
2002 6
2003 9
2004 5
2005 6
2006 7
2007 8
2008 13
2009 6
2010 14
2011 5
2012 9
2013 8
2014 6
2015 15
2016 20
2017 9
2018 11
2019 15
2020 18
2021 26
2022 26
2023 41
2024 29
2025 38
Total 475
Download as CSV

Qi-Jun Zhang 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 Qi-Jun Zhang 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, 354–373 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: 372 publications — 71st percentile

71% 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
334–353 250
354–373 214 372
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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Qi-Jun Zhang 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 Qi-Jun Zhang 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, 59 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: 59 D-Index — 75th percentile

75% 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 59
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

Overview

Qi-Jun Zhang is affiliated with Carleton University in Canada and has a research focus primarily rooted in engineering, with a particular emphasis on electrical and electronic engineering.

Their work encompasses several subfields, including:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Biomedical Engineering
  • Mechanical Engineering
  • Atomic and Molecular Physics, and Optics

The main topics covered in their publications include:

  • Microwave Engineering and Waveguides
  • Electromagnetic Simulation and Numerical Methods
  • Radio Frequency Integrated Circuit Design
  • Advanced Antenna and Metasurface Technologies
  • Electromagnetic Compatibility and Noise Suppression
  • Millimeter-Wave Propagation and Modeling
  • GaN-based semiconductor devices and materials

Frequent publication venues for the scientist include:

  • IEEE Transactions on Microwave Theory and Techniques
  • IEEE Microwave Magazine
  • IEEE Microwave and Wireless Technology Letters
  • IEEE Microwave and Wireless Components Letters
  • IEEE Journal of Microwaves

Their co-authors collaborating frequently on research projects are:

  • Feng Feng
  • Jianan Zhang
  • Jing Jin
  • Weicong Na
  • Wei Liu

Selected recent papers by Qi-Jun Zhang include:

  • Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art, 2022, IEEE Transactions on Microwave Theory and Techniques
  • ANNs for Fast Parameterized EM Modeling: The State of the Art in Machine Learning for Design Automation of Passive Microwave Structures, 2021, IEEE Microwave Magazine
  • Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate, 2020, IEEE Transactions on Microwave Theory and Techniques
  • A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components, 2020, IEEE Access
  • A Novel Training Approach for Parametric Modeling of Microwave Passive Components Using Padé via Lanczos and EM Sensitivities, 2020, IEEE Transactions on Microwave Theory and Techniques

Best Publications

  • Neural Networks for RF and Microwave Design (Book + Neuromodeler Disk)

    Q. J. Zhang;K. C. Gupta

  • Artificial neural networks for RF and microwave design - from theory to practice

    Qi-Jun Zhang;K.C. Gupta;V.K. Devabhaktuni

  • Neural Networks for RF and Microwave Design

    Q. J. Zhang;K. C. Gupta

  • Knowledge based neural models for microwave design

    Fang Wang;Q.J. Zhang

  • A robust algorithm for automatic development of neural network models for microwave applications

    V. Devabhaktuni;M.C.E. Yagoub;Qi-Jun Zhang

  • Neural-based dynamic modeling of nonlinear microwave circuits

    Jianjun Xu;M.C.E. Yagoub;Runtao Ding;Qi-Jun Zhang

  • A neural network modeling approach to circuit optimization and statistical design

    A.H. Zaabab;Qi-Jun Zhang;M. Nakhla

  • Neural Network Inverse Modeling and Applications to Microwave Filter Design

    H. Kabir;Ying Wang;Ming Yu;Qi-Jun Zhang

  • Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping

    V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub;Qi-Jun Zhang

  • A new macromodeling approach for nonlinear microwave circuits based on recurrent neural networks

    Yonghua Fang;M.C.E. Yagoub;Fang Wang;Qi-Jun Zhang

  • Neuromodeling of microwave circuits exploiting space-mapping technology

    J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez;Qi-Jun Zhang

  • Smart Modeling of Microwave Devices

    Humayun Kabir;Lei Zhang;Ming Yu;Peter Aaen

  • Neuromodeling of microwave circuits exploiting space mapping technology

    J.W. Bandler;M.A. Ismail;Q.J. Zhang

  • Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions

    Feng Feng;Chao Zhang;Jianguo Ma;Qi-Jun Zhang

  • Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters

    Jing Jin;Chao Zhang;Feng Feng;Weicong Na

  • Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art

    Unknown

  • Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters

    Chao Zhang;Jing Jin;Weicong Na;Qi-Jun Zhang

  • Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling

    Lei Zhang;Jianjun Xu;M.C.E. Yagoub;Runtao Ding

  • Neural-network approaches to electromagnetic-based modeling of passive components and their applications to high-frequency and high-speed nonlinear circuit optimization

    Xiaolei Ding;V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub

  • Neural space-mapping optimization for EM-based design

    M.H. Bakr;J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez

  • Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques

    Vijaya Kumar Devabhaktuni;Mustapha C. E. Yagoub;Yonghua Fang;Jianjun Xu

Frequent Co-Authors

Michel Nakhla
Michel Nakhla Carleton University
John W. Bandler
John W. Bandler McMaster University
Ming Yu
Ming Yu Chinese University of Hong Kong
Ramachandra Achar
Ramachandra Achar Carleton University
Mohamed H. Bakr
Mohamed H. Bakr McMaster University
Slawomir Koziel
Slawomir Koziel Reykjavík University
Xin-She Yang
Xin-She Yang Middlesex University
Natalia K. Nikolova
Natalia K. Nikolova McMaster University
Tom Dhaene
Tom Dhaene Ghent University
Geok Ing Ng
Geok Ing Ng Nanyang Technological University

External Links

Personal website of Qi-Jun Zhang Google Scholar page

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Related Online Degrees & Career Pathways

Pursuing a career in Electronics and Electrical Engineering often opens doors to various educational opportunities beyond traditional degrees. For instance, some learners enhance their skills through specialized programs like instructional design, which combines engineering knowledge with educational methodologies, preparing graduates for roles in technical training and curriculum development.

Additionally, competency-based degrees offer flexible learning formats tailored to individual skills and pacing. Opting for a competency based degree allows students in this field to progress as they demonstrate mastery of critical concepts, making it ideal for working professionals balancing career and study.

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To accommodate various schedules and commitments, many programs are designed with frequent enrollment opportunities. Prospective students can explore online colleges starting this month, allowing them to begin their educational journey without delay, ensuring they stay ahead in this fast-evolving industry.

Best Scientists Citing Qi-Jun Zhang

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Publications: 203

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Dominique Schreurs

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Publications: 46

Qingsha S. Cheng

Qingsha S. Cheng

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Publications: 44

Tom Dhaene

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Publications: 37

Mohamed H. Bakr

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Publications: 36

Michel Nakhla

Michel Nakhla

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Publications: 28

Alina Caddemi

Alina Caddemi

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Publications: 24

Flavio Canavero

Flavio Canavero

Polytechnic University of Turin

Publications: 23

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Natalia K. Nikolova

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Publications: 22

Michal Mrozowski

Michal Mrozowski

Gdańsk University of Technology

Publications: 18

Madhavan Swaminathan

Madhavan Swaminathan

Pennsylvania State University

Publications: 18

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Giovanni Crupi

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Publications: 17

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Bart Nauwelaers

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