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 81 492 474 77 77 1060 28009

Qing Huo Liu publications per year

The chart shows the history of publications by Qing Huo Liu between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qing Huo Liu published across 38 years, from 1988 to 2025, averaging 41.7 papers a year. Output peaked at 158 publications in 2022. 151 of the 1,583 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 158. Peak 158 publications in 2022. 1988: 3 publications 1989: 0 publications 1990: 5 publications 1991: 6 publications 1992: 5 publications 1993: 6 publications 1994: 11 publications 1995: 3 publications 1996: 5 publications 1997: 11 publications 1998: 15 publications 1999: 15 publications 2000: 15 publications 2001: 25 publications 2002: 11 publications 2003: 15 publications 2004: 25 publications 2005: 18 publications 2006: 16 publications 2007: 20 publications 2008: 23 publications 2009: 38 publications 2010: 27 publications 2011: 23 publications 2012: 28 publications 2013: 53 publications 2014: 80 publications 2015: 96 publications 2016: 120 publications 2017: 86 publications 2018: 110 publications 2019: 80 publications 2020: 66 publications 2021: 67 publications 2022: 158 publications 2023: 147 publications 2024: 113 publications 2025: 38 publications
1988 2025

1,583 publications in total across all disciplines

View publications per year as a table
Qing Huo Liu: publications per year, 1988 to 2025
Year Publications
1988 3
1989 0
1990 5
1991 6
1992 5
1993 6
1994 11
1995 3
1996 5
1997 11
1998 15
1999 15
2000 15
2001 25
2002 11
2003 15
2004 25
2005 18
2006 16
2007 20
2008 23
2009 38
2010 27
2011 23
2012 28
2013 53
2014 80
2015 96
2016 120
2017 86
2018 110
2019 80
2020 66
2021 67
2022 158
2023 147
2024 113
2025 38
Total 1,583
Download as CSV

Qing Huo Liu 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 Qing Huo Liu 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, 1,054–1,064 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: 1,060 publications — 99th percentile

99% 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
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 1,060
1,065+ 99
Download as CSV

Qing Huo Liu 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 Qing Huo Liu 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, 81 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: 81 D-Index — 93rd percentile

93% 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
75 35
76 32
77 35
78 31
79 22
80 34
81 31 81
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

Research.com Recognitions

  • 2005 - IEEE Fellow For contributions to computational electromagnetics and to subsurface sensing applications.

Overview

Qing Huo Liu is affiliated with Duke University in the United States and has a significant body of research primarily in the field of engineering. Their work spans several subfields, including electrical and electronic engineering, materials chemistry, biomedical engineering, aerospace engineering, and molecular biology.

The scientist's research covers diverse topics with a focus on geophysical methods and applications, electromagnetic scattering and analysis, electromagnetic simulation and numerical methods, advanced antenna and metasurface technologies, antenna design and analysis, metamaterials and metasurfaces applications, and microwave engineering and waveguides.

Recent papers by Qing Huo Liu include the following:

  • Multistep short-term wind speed forecasting using transformer, 2022, published in Energy
  • A Modified Efficient KNN Method for Antenna Optimization and Design, 2020, published in IEEE Transactions on Antennas and Propagation
  • Raman spectroscopy combined with machine learning for rapid detection of food-borne pathogens at the single-cell level, 2021, published in Talanta
  • Mimicking Neuroplasticity via Ion Migration in van der Waals Layered Copper Indium Thiophosphate, 2021, published in Advanced Materials
  • Interface Engineering Ti3C2 MXene/Silicon Self-Powered Photodetectors with High Responsivity and Detectivity for Weak Light Applications, 2021, published in Small

The scientist regularly collaborates with several frequent coauthors, including Li-Ye Xiao, Mingwei Zhuang, Shuti Li, Feng Han, and Fangliang Gao. These collaborations contribute to a broad range of research outputs across their specialized fields.

Publication venues frequently featuring Qing Huo Liu's work include:

  • IEEE Transactions on Antennas and Propagation
  • IEEE Transactions on Microwave Theory and Techniques
  • IEEE Antennas and Wireless Propagation Letters
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Access

Qing Huo Liu was awarded the IEEE Fellow distinction in 2005 for contributions to computational electromagnetics and to subsurface sensing applications.

Best Publications

  • The PSTD algorithm: A time-domain method requiring only two cells per wavelength

    Q. H. Liu

  • Through-wall imaging (TWI) by radar: 2-D tomographic results and analyses

    Lin-Ping Song;Chun Yu;Qing Huo Liu

  • An accurate algorithm for nonuniform fast Fourier transforms (NUFFT's)

    Q.H. Liu;N. Nguyen

  • Broadband tunable terahertz absorber based on vanadium dioxide metamaterials.

    Zhengyong Song;Kai Wang;Jiawen Li;Qing Huo Liu

  • The application of the perfectly matched layer in numerical modeling of wave propagation in poroelastic media

    Y. Q. Zeng;J. Q. He;Q. H. Liu

  • Reducing the Number of Elements in a Linear Antenna Array by the Matrix Pencil Method

    Yanhui Liu;Zaiping Nie;Qing Huo Liu

  • Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT

    Jiayu Song;Qing H. Liu;G. Allan Johnson;Cristian T. Badea

  • Broadband absorber with periodically sinusoidally-patterned graphene layer in terahertz range.

    Longfang Ye;Yao Chen;Guoxiong Cai;Na Liu

  • Tunable enhanced optical absorption of graphene using plasmonic perfect absorbers

    Yijun Cai;Jinfeng Zhu;Qing Huo Liu

  • Electromagnetic time-reversal imaging of a target in a cluttered environment

    Dehong Liu;Gang Kang;Ling Li;Ye Chen

  • Active microwave imaging. I. 2-D forward and inverse scattering methods

    Qing Huo Liu;Zhong Qing Zhang;T.T. Wang;J.A. Bryan

  • Three-dimensional nonlinear image reconstruction for microwave biomedical imaging

    Zhong Qing Zhang;Qing Huo Liu

  • Large-scale simulations of electromagnetic and acoustic measurements using the pseudospectral time-domain (PSTD) algorithm

    Qing Huo Liu

  • The Regular Fourier Matrices and Nonuniform Fast Fourier Transforms

    Nhu Nguyen;Qing Huo Liu

  • Discontinuous Galerkin Time-Domain Methods for Multiscale Electromagnetic Simulations: A Review

    Jiefu Chen;Qing Huo Liu

  • A 3-D spectral-element method using mixed-order curl conforming vector basis functions for electromagnetic fields

    Joon-Ho Lee;Tian Xiao;Q.H. Liu

  • A Novel Simple and Compact Microstrip-Fed Circularly Polarized Wide Slot Antenna With Wide Axial Ratio Bandwidth for C-Band Applications

    Mubarak Sani Ellis;Zhiqin Zhao;Jiangniu Wu;Xiaoxiang Ding

  • Reducing the Number of Elements in the Synthesis of Shaped-Beam Patterns by the Forward-Backward Matrix Pencil Method

    Yanhui Liu;Qing Huo Liu;Zaiping Nie

  • Active Microwave Imaging II: 3-D System Prototype and Image Reconstruction From Experimental Data

    Chun Yu;Mengqing Yuan;J. Stang;E. Bresslour

  • Resonance frequency of a rectangular microstrip patch

    W.C. Chew;Q. Liu

Frequent Co-Authors

Zaiping Nie
Zaiping Nie University of Electronic Science and Technology of China
William T. Joines
William T. Joines Duke University
Kai-Da Xu
Kai-Da Xu University of Alcalá
Weng Cho Chew
Weng Cho Chew Purdue University West Lafayette
Wen-Yan Yin
Wen-Yan Yin Zhejiang University
Lingjiang Kong
Lingjiang Kong University of Electronic Science and Technology of China
Guolong Cui
Guolong Cui University of Electronic Science and Technology of China
Jun-Fa Mao
Jun-Fa Mao Shanghai Jiao Tong University
Anxue Zhang
Anxue Zhang Xi'an Jiaotong University
Fawang Liu
Fawang Liu Queensland University of Technology

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 students interested in Electronics and Electrical Engineering, exploring related online degrees can open additional career opportunities. Many professionals leverage 6 month certificate programs that pay well to quickly gain specialized skills, making them highly attractive in tech-driven industries.

Additionally, career paths suited for introverts can be a good fit within this field. Roles that emphasize problem-solving and technical expertise often align with introvert jobs that pay well, providing both financial stability and a comfortable work environment for those who prefer minimal social interaction.

Project management is another valuable skill set that pairs well with engineering disciplines. Students can pursue a fast track project management degree online to enhance their leadership capabilities without sacrificing time. This approach helps accelerate career growth by adding project oversight expertise.

For a more comprehensive study, a bachelor's degree in project management offers a solid foundation for managing complex engineering projects. Combining this with an engineering background further broadens career prospects in industries where technical and managerial skills are equally valued.

Best Scientists Citing Qing Huo Liu

Trending Scientists

Recently Published Articles