World's Best Scientists 2026 revealed!
Guang-Hong Yang

Guang-Hong Yang

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Electronics and Electrical Engineering
China
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 104 151 146 21 21 979 41163

Guang-Hong Yang publications per year

The chart shows the history of publications by Guang-Hong Yang between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Guang-Hong Yang published across 34 years, from 1992 to 2025, averaging 32.2 papers a year. Output peaked at 102 publications in 2009. 99 of the 1,095 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 102. Peak 102 publications in 2009. 1992: 1 publication 1993: 2 publications 1994: 4 publications 1995: 4 publications 1996: 11 publications 1997: 9 publications 1998: 6 publications 1999: 11 publications 2000: 12 publications 2001: 15 publications 2002: 12 publications 2003: 10 publications 2004: 1 publication 2005: 3 publications 2006: 15 publications 2007: 61 publications 2008: 68 publications 2009: 102 publications 2010: 40 publications 2011: 39 publications 2012: 36 publications 2013: 58 publications 2014: 27 publications 2015: 27 publications 2016: 49 publications 2017: 64 publications 2018: 68 publications 2019: 63 publications 2020: 57 publications 2021: 48 publications 2022: 36 publications 2023: 37 publications 2024: 41 publications 2025: 58 publications
1992 2025

1,095 publications in total across all disciplines

View publications per year as a table
Guang-Hong Yang: publications per year, 1992 to 2025
Year Publications
1992 1
1993 2
1994 4
1995 4
1996 11
1997 9
1998 6
1999 11
2000 12
2001 15
2002 12
2003 10
2004 1
2005 3
2006 15
2007 61
2008 68
2009 102
2010 40
2011 39
2012 36
2013 58
2014 27
2015 27
2016 49
2017 64
2018 68
2019 63
2020 57
2021 48
2022 36
2023 37
2024 41
2025 58
Total 1,095
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Guang-Hong Yang 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 Guang-Hong Yang 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, 974–993 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: 979 publications — 98th percentile

98% 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 11 979
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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Guang-Hong Yang 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 Guang-Hong Yang 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, 104 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: 104 D-Index — 98th percentile

98% 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
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 8 104
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Research.com Recognitions

  • 2023 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

Guang-Hong Yang is affiliated with Northeastern University in China and specializes in engineering and computer science, with a primary focus on control and systems engineering as well as communications technologies. Their research extensively covers topics such as smart grid security and resilience, network security and intrusion detection, fault detection and control systems, and distributed control of multi-agent systems.

The scientist has contributed significantly to the understanding and development of control methods in multi-agent systems, particularly in contexts involving security threats and communication challenges. Among their recent publications are:

  • "Cooperative adaptive fault-tolerant control for multi-agent systems with deception attacks," 2020, Journal of the Franklin Institute
  • "A Dynamic Event-Triggered Control Approach to Leader-Following Consensus for Linear Multiagent Systems," 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Adaptive fault-tolerant control for nonlinear multi-agent systems with DoS attacks," 2020, Information Sciences
  • "Distributed Model Reference Adaptive Optimization of Disturbed Multiagent Systems With Intermittent Communications," 2020, IEEE Transactions on Cybernetics
  • "Event-Triggered Reference Governors for Collisions-Free Leader-Following Coordination Under Unreliable Communication Topologies," 2023, IEEE Transactions on Automatic Control

Guang-Hong Yang frequently publishes in venues respected in control, cybernetics, and information sciences. Notable publication venues where the scientist has multiple papers include:

  • IEEE Transactions on Cybernetics
  • Information Sciences
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Industrial Informatics
  • Automatica

Collaboration is a prominent aspect of their research profile, with notable frequent co-authors including Liwei An, An-Yang Lu, Xiuxiu Ren, Georgi M. Dimirovski, and Chong-Xiao Shi. These collaborations underline a strong network in the fields of control engineering and systems research.

Their research covers a diverse range of subfields, including electrical and electronic engineering, artificial intelligence, and information systems, which complement their primary focus areas and enhance multidisciplinary approaches in their work.

Guang-Hong Yang's body of work reflects engagement with core challenges in control system stability, networked systems under attack, and adaptive optimization techniques for complex multi-agent frameworks. The continuous emphasis on event-triggered control mechanisms and fault tolerance addresses real-world issues related to unreliable communication and cybersecurity threats within engineered systems.

Best Publications

  • Reliable robust flight tracking control: an LMI approach

    Fang Liao;Jian Liang Wang;Guang-Hong Yang

  • Brief Reliable H∞ controller design for linear systems

    Guang-Hong Yang;Jian Liang Wang;Yeng Chai Soh

  • Adaptive Fault-Tolerant Tracking Control Against Actuator Faults With Application to Flight Control

    D. Ye;Guang-Hong Yang

  • Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming

    Huaguang Zhang;Jilie Zhang;Guang-Hong Yang;Yanhong Luo

  • Adaptive Backstepping Stabilization of Nonlinear Uncertain Systems With Quantized Input Signal

    Jing Zhou;Changyun Wen;Guanghong Yang

  • Brief paper: An LMI approach to H- index and mixed H-/H∞ fault detection observer design

    Jian Liang Wang;Guang-Hong Yang;Jian Liu

  • Reliable $H_{\infty}$ Control of Linear Systems With Adaptive Mechanism

    Guang-Hong Yang;Dan Ye

  • Input-to-State Stabilizing Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial of Service

    An-Yang Lu;Guang-Hong Yang

  • Prescribed Performance Fault-Tolerant Control of Uncertain Nonlinear Systems With Unknown Control Directions

    Jin-Xi Zhang;Guang-Hong Yang

  • Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults

    Yuan-Xin Li;Guang-Hong Yang

  • Fault-Tolerant Consensus Tracking Control for Linear Multiagent Systems Under Switching Directed Network

    Xin Wang;Guang-Hong Yang

  • New Results on Output Feedback $H_{\infty} $ Control for Linear Discrete-Time Systems

    Xiao-Heng Chang;Guang-Hong Yang

  • An LMI approach to minimum sensitivity analysis with application to fault detection

    Jian Liu;Jian Liang Wang;Guang-Hong Yang

  • Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach

    Huaguang Zhang;Tao Feng;Guang-Hong Yang;Hongjing Liang

  • Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks

    Liwei An;Guang-Hong Yang

  • Robust adaptive fault-tolerant control for uncertain linear systems with actuator failures

    X.-J. Li;G.-H. Yang

  • Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems

    Chao Deng;Guang-Hong Yang

  • Brief Non-fragile H∞ control for linear systems with multiplicative controller gain variations

    Guang-Hong Yang;Jian Liang Wang

  • Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems

    Yingnan Pan;Guang-Hong Yang

  • Fault Estimation for a Class of Nonlinear Systems Based on Intermediate Estimator

    Jun-Wei Zhu;Guang-Hong Yang;Hong Wang;Fuli Wang

  • Brief paper: Non-fragile H∞ filter design for linear continuous-time systems

    Guang-Hong Yang;Wei-Wei Che

Frequent Co-Authors

Jianliang Wang
Jianliang Wang Beihang University
Jiuxiang Dong
Jiuxiang Dong Northeastern University
Dan Ye
Dan Ye Northeastern University
James Lam
James Lam University of Hong Kong
Yeng Chai Soh
Yeng Chai Soh Nanyang Technological University
Meng Joo Er
Meng Joo Er Dalian Maritime University
Shoudong Huang
Shoudong Huang University of Technology Sydney
Youyi Wang
Youyi Wang Nanyang Technological University
Changyun Wen
Changyun Wen Nanyang Technological University
Ning Wang
Ning Wang Dalian Maritime University

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