World's Best Scientists 2026 revealed!
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Weiqiang Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 37 5204 4998 764 761 229 4518

Weiqiang Liu publications per year

The chart shows the history of publications by Weiqiang Liu between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Weiqiang Liu published across 30 years, from 1996 to 2025, averaging 12.6 papers a year. Output peaked at 60 publications in 2022. 74 of the 377 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 60. Peak 60 publications in 2022. 1996: 1 publication 1997: 0 publications 1998: 2 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 1 publication 2008: 1 publication 2009: 1 publication 2010: 3 publications 2011: 5 publications 2012: 8 publications 2013: 3 publications 2014: 6 publications 2015: 7 publications 2016: 11 publications 2017: 14 publications 2018: 23 publications 2019: 31 publications 2020: 39 publications 2021: 45 publications 2022: 60 publications 2023: 42 publications 2024: 41 publications 2025: 33 publications
1996 2025

377 publications in total across all disciplines

View publications per year as a table
Weiqiang Liu: publications per year, 1996 to 2025
Year Publications
1996 1
1997 0
1998 2
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 1
2008 1
2009 1
2010 3
2011 5
2012 8
2013 3
2014 6
2015 7
2016 11
2017 14
2018 23
2019 31
2020 39
2021 45
2022 60
2023 42
2024 41
2025 33
Total 377
Download as CSV

Weiqiang Liu publications per year - data summary

  • Weiqiang Liu, a Electronics and Electrical Engineering scholar from Nanjing University of Aeronautics and Astronautics, has 377 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2022, with 60 publications.
  • The least productive years with any output are 1996, 2007, 2008 and 2009, with 1 publication each.
  • 9 of the 30 years in the span carry no publications at all (1997, 1999, 2000, 2001 and others).
  • The rate of publication averages 12.6 papers per year over the whole span, or 18.0 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 221 publications, 59% of the career total.
  • Split into equal eras - 1996-2005: 3 publications (0.3 per year); 2006-2015: 35 publications (3.5 per year); 2016-2025: 339 publications (33.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Weiqiang 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 Weiqiang 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, 214–233 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: 229 publications — 39th percentile

39% 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
214–233 431 229
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

Weiqiang Liu 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.
  • Weiqiang Liu, a Electronics and Electrical Engineering scholar from Nanjing University of Aeronautics and Astronautics, records 229 publications - the 39th percentile of the discipline.
  • 39% of ranked Electronics and Electrical Engineering scientists score the same or lower than Weiqiang Liu, and about 61% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Weiqiang Liu 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).

Weiqiang 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 Weiqiang 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, 37 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: 37 D-Index — 27th percentile

27% 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 37
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
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

Weiqiang Liu 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.
  • Weiqiang Liu, a Electronics and Electrical Engineering scholar from Nanjing University of Aeronautics and Astronautics, records 37 D-Index - the 27th percentile of the discipline.
  • 27% of ranked Electronics and Electrical Engineering scientists score the same or lower than Weiqiang Liu, and about 73% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Weiqiang Liu 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).

Best Publications

  • Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

    Weiqiang Liu;Liangyu Qian;Chenghua Wang;Honglan Jiang

  • A Retrospective and Prospective View of Approximate Computing [Point of View}

    Weiqiang Liu;Fabrizio Lombardi;Michael Shulte

  • Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications

    Weiqiang Liu;Jiahua Xu;Danye Wang;Chenghua Wang

  • Are QCA cryptographic circuits resistant to power analysis attack

    Weiqiang Liu;S. Srivastava;Liang Lu;M. O'Neill

  • Design rules for Quantum-dot Cellular Automata

    Weiqiang Liu;Liang Lu;Maire O'Neill;Earl E. Swartzlander

  • Design and Analysis of Majority Logic-Based Approximate Adders and Multipliers

    Weiqiang Liu;Tingting Zhang;Emma McLarnon;Maire OrNeill

  • A Flip-Flop Based Arbiter Physical Unclonable Function (APUF) Design with High Entropy and Uniqueness for FPGA Implementation

    Chongyan Gu;Weiqiang Liu;Yijun Cui;Neil Hanley

  • Design and Analysis of Approximate Redundant Binary Multipliers

    Weiqiang Liu;Tian Cao;Peipei Yin;Yuying Zhu

  • High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization

    Tian Yuan;Weiqiang Liu;Jie Han;Fabrizio Lombardi

  • Approximate Designs for Fast Fourier Transform (FFT) With Application to Speech Recognition

    Weiqiang Liu;Qicong Liao;Fei Qiao;Weijie Xia

  • Hybrid Low Radix Encoding-Based Approximate Booth Multipliers

    Haroon Waris;Chenghua Wang;Weiqiang Liu

  • Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks

    Yue Gao;Weiqiang Liu;Fabrizio Lombardi

  • On the Design of Approximate Restoring Dividers for Error-Tolerant Applications

    Linbin Chen;Jie Han;Weiqiang Liu;Fabrizio Lombardi

  • Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning

    Peipei Yin;Chenghua Wang;Haroon Waris;Weiqiang Liu

  • Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing

    Linbin Chen;Jie Han;Weiqiang Liu;Fabrizio Lombardi

  • Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations.

    Mingfu Xue;Yushu Zhang;Jian Wang;Weiqiang Liu

  • A machine learning attack resistant multi-PUF design on FPGA

    Unknown

  • Hybrid Partial Product-based High-Performance Approximate Recursive Multipliers

    Haroon Waris;Chenghua Wang;Weiqiang Liu;Jie Han

  • A Modeling Attack Resistant Deception Technique for Securing Lightweight-PUF-Based Authentication

    Chongyan Gu;Chip-Hong Chang;Weiqiang Liu;Shichao Yu

  • Design and evaluation of an approximate Wallace-Booth multiplier

    Liangyu Qian;Chenghua Wang;Weiqiang Liu;Fabrizio Lombardi

Frequent Co-Authors

Fabrizio Lombardi
Fabrizio Lombardi Northeastern University
Maire O'Neill
Maire O'Neill Queen's University Belfast
Earl E. Swartzlander
Earl E. Swartzlander The University of Texas at Austin
Jie Han
Jie Han University of Alberta
Yushu Zhang
Yushu Zhang Nanjing University of Aeronautics and Astronautics
Chip-Hong Chang
Chip-Hong Chang Nanyang Technological University
Xiaohu You
Xiaohu You Southeast University
Gang Qu
Gang Qu University of Maryland, College Park
Zhidong Zhang
Zhidong Zhang Chinese Academy of Sciences
Weisheng Zhao
Weisheng Zhao Beihang University

External Links

Personal website of Weiqiang Liu

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Related Online Degrees & Career Pathways

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Additionally, pursuing 6 month programs can be a strategic way to quickly gain specialized skills that boost employability. These accelerated certifications often focus on practical knowledge relevant to evolving tech fields and are well-suited for those wanting rapid entry or advancement in their careers.

Careers in Electronics and Electrical Engineering can also appeal to individuals who thrive in focused, independent work settings. Many roles align with jobs for introverts that pay well, offering rewarding environments that match introverted strengths, such as analytical thinking and problem-solving.

For professionals aiming to enhance leadership capabilities alongside technical expertise, considering a fast track project management degree online can open doors to managing complex engineering projects efficiently and advancing into managerial roles.

Best Scientists Citing Weiqiang Liu

Debashis De

Debashis De

Maulana Abul Kalam Azad University of Technology

Publications: 34

Jie Han

Jie Han

University of Alberta

Publications: 15

Keivan Navi

Keivan Navi

Shahid Beheshti University

Publications: 14

Rolf Drechsler

Rolf Drechsler

University of Bremen

Publications: 12

Mohammad Hossein Moaiyeri

Mohammad Hossein Moaiyeri

Shahid Beheshti University

Publications: 11

Shaahin Angizi

Shaahin Angizi

New Jersey Institute of Technology

Publications: 10

Robert Wille

Robert Wille

Technical University of Munich

Publications: 9

Nader Bagherzadeh

Nader Bagherzadeh

University of California, Irvine

Publications: 9

Leibo Liu

Leibo Liu

Tsinghua University

Publications: 9

Nima Jafari Navimipour

Nima Jafari Navimipour

Kadir Has University

Publications: 9

Fabrizio Lombardi

Fabrizio Lombardi

Northeastern University

Publications: 8

Massoud Pedram

Massoud Pedram

University of Southern California

Publications: 7

Ali Afzali-Kusha

Ali Afzali-Kusha

University of Tehran

Publications: 6

Jorg Henkel

Jorg Henkel

Karlsruhe Institute of Technology

Publications: 5

Wayne Luk

Wayne Luk

Imperial College London

Publications: 5

Huazhong Yang

Huazhong Yang

Tsinghua University

Publications: 5

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