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Haiquan Zhao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 44 3747 3598 590 588 266 7587
Computer Science 44 7605 7385 1000 994 261 7580

Haiquan Zhao publications per year

The chart shows the history of publications by Haiquan Zhao between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Haiquan Zhao published across 43 years, from 1983 to 2025, averaging 8.1 papers a year. Output peaked at 36 publications in 2017. 48 of the 347 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2017. 1983: 1 publication 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 0 publications 2006: 4 publications 2007: 3 publications 2008: 3 publications 2009: 6 publications 2010: 6 publications 2011: 5 publications 2012: 4 publications 2013: 6 publications 2014: 9 publications 2015: 17 publications 2016: 33 publications 2017: 36 publications 2018: 23 publications 2019: 33 publications 2020: 17 publications 2021: 34 publications 2022: 24 publications 2023: 34 publications 2024: 25 publications 2025: 23 publications
1983 2025

347 publications in total across all disciplines

View publications per year as a table
Haiquan Zhao: publications per year, 1983 to 2025
Year Publications
1983 1
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 1
2004 0
2005 0
2006 4
2007 3
2008 3
2009 6
2010 6
2011 5
2012 4
2013 6
2014 9
2015 17
2016 33
2017 36
2018 23
2019 33
2020 17
2021 34
2022 24
2023 34
2024 25
2025 23
Total 347
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Haiquan Zhao 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 Haiquan Zhao 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, 254–273 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: 266 publications — 49th percentile

49% 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
254–273 366 266
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
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Haiquan Zhao 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 Haiquan Zhao 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, 44 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: 44 D-Index — 47th percentile

47% 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 44
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

Overview

Haiquan Zhao is affiliated with Southwest Jiaotong University in China and has contributed extensively to the fields of Computer Science and Engineering. Their research primarily focuses on signal processing and related engineering domains.

Their recent publications cover a range of topics and include:

  • "Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control" (2020) in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis" (2020) in IEEE Transactions on Signal Processing
  • "Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration" (2021) in IEEE/CAA Journal of Automatica Sinica
  • "Robust Power System Forecasting-Aided State Estimation With Generalized Maximum Mixture Correntropy Unscented Kalman Filter" (2022) in IEEE Transactions on Instrumentation and Measurement
  • "Variable Step-Size Affine Projection Maximum Correntropy Criterion Adaptive Filter With Correntropy Induced Metric for Sparse System Identification" (2020) in IEEE Transactions on Circuits & Systems II Express Briefs

Frequent coauthors collaborating with Haiquan Zhao include:

  • Shaohui Lv
  • Wenjing Xu
  • Xinyan Hou
  • Yingying Zhu
  • Xiaoqiang Long

Haiquan Zhao publishes regularly in several venues, often appearing in:

  • IEEE Transactions on Circuits & Systems II Express Briefs
  • SSRN Electronic Journal
  • Signal Processing
  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement

Their research spans multiple subfields of study, including:

  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Key topics addressed by Zhao's work include:

  • Advanced Adaptive Filtering Techniques
  • Blind Source Separation Techniques
  • Speech and Audio Processing
  • Image and Signal Denoising Methods
  • Direction-of-Arrival Estimation Techniques
  • Neural Networks and Applications
  • Advanced Battery Technologies Research

Best Publications

  • Maximum correntropy Kalman filter

    Baodong Chen;Xi Liu;Haiquan Zhao;Jose C. Principe;Jose C. Principe

  • Generalized Correntropy for Robust Adaptive Filtering

    Badong Chen;Lei Xing;Haiquan Zhao;Nanning Zheng

  • Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

    Badong Chen;Jianji Wang;Haiquan Zhao;Nanning Zheng

  • Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks

    Xuedan Miao;Ying Liu;Haiquan Zhao;Chunguang Li

  • Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

    Badong Chen;Lei Xing;Bin Xu;Haiquan Zhao

  • Diffusion maximum correntropy criterion algorithms for robust distributed estimation

    Wentao Ma;Badong Chen;Jiandong Duan;Haiquan Zhao

  • Adaptively Combined FIR and Functional Link Artificial Neural Network Equalizer for Nonlinear Communication Channel

    Haiquan Zhao;Jiashu Zhang

  • Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes

    Haiquan Zhao;Xiangping Zeng;Jiashu Zhang

  • Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control

    Yingying Zhu;Haiquan Zhao;Xiangping Zeng;Badong Chen

  • Active impulsive noise control using maximum correntropy with adaptive kernel size

    Lu Lu;Lu Lu;Haiquan Zhao;Haiquan Zhao

  • Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization

    Haiquan Zhao;Jiashu Zhang

  • Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion

    Zongze Wu;Siyuan Peng;Badong Chen;Haiquan Zhao

  • Robust stable iterated unscented Kalman filter based on maximum correntropy criterion

    Unknown

  • Insights Into the Robustness of Minimum Error Entropy Estimation

    Badong Chen;Lei Xing;Bin Xu;Haiquan Zhao

  • Robust Power System Forecasting-Aided State Estimation With Generalized Maximum Mixture Correntropy Unscented Kalman Filter

    Unknown

  • Filtered-x least mean square/fourth (FXLMS/F) algorithm for active noise control

    Pucha Song;Haiquan Zhao

  • Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification

    Lu Lu;Haiquan Zhao;Badong Chen

  • Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction

    Wentao Ma;Jiandong Duan;Weishi Man;Haiquan Zhao

  • Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks

    Yi Yu;Haiquan Zhao;Rodrigo C. de Lamare;Yuriy Zakharov

  • Memory proportionate APA with individual activation factors for acoustic echo cancellation

    Haiquan Zhao;Yi Yu;Shibin Gao;Xiangping Zeng

  • Low-Complexity Nonlinear Adaptive Filter Based on a Pipelined Bilinear Recurrent Neural Network

    Haiquan Zhao;Xiangping Zeng;Zhengyou He

  • A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes

    Yi Yu;Haiquan Zhao;Badong Chen

Frequent Co-Authors

Badong Chen
Badong Chen Xi'an Jiaotong University
Jiashu Zhang
Jiashu Zhang Southwest Jiaotong University
Jose C. Principe
Jose C. Principe University of Florida
Tianrui Li
Tianrui Li Southwest Jiaotong University
Yuriy Zakharov
Yuriy Zakharov University of York
Benoit Champagne
Benoit Champagne McGill University
Nanning Zheng
Nanning Zheng Xi'an Jiaotong University
Zhigang Liu
Zhigang Liu Southwest Jiaotong University
Kutluyil Dogancay
Kutluyil Dogancay University of South Australia
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University

External Links

Personal website of Haiquan Zhao

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Publications: 30

Nithin V. George

Nithin V. George

Indian Institute of Technology Gandhinagar

Publications: 22

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University of Florida

Publications: 21

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Publications: 17

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Publications: 16

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Publications: 12

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Publications: 11

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Publications: 9

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