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Gang Tao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 64 1267 1208 525 486 481 20557

Gang Tao publications per year

The chart shows the history of publications by Gang Tao between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gang Tao published across 39 years, from 1987 to 2025, averaging 12.9 papers a year. Output peaked at 27 publications in 2003. 18 of the 503 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2003. 1987: 1 publication 1988: 3 publications 1989: 5 publications 1990: 4 publications 1991: 4 publications 1992: 4 publications 1993: 5 publications 1994: 5 publications 1995: 10 publications 1996: 8 publications 1997: 14 publications 1998: 4 publications 1999: 15 publications 2000: 12 publications 2001: 17 publications 2002: 20 publications 2003: 27 publications 2004: 23 publications 2005: 10 publications 2006: 7 publications 2007: 9 publications 2008: 14 publications 2009: 10 publications 2010: 12 publications 2011: 21 publications 2012: 17 publications 2013: 10 publications 2014: 27 publications 2015: 21 publications 2016: 25 publications 2017: 20 publications 2018: 23 publications 2019: 27 publications 2020: 13 publications 2021: 18 publications 2022: 7 publications 2023: 13 publications 2024: 8 publications 2025: 10 publications
1987 2025

503 publications in total across all disciplines

View publications per year as a table
Gang Tao: publications per year, 1987 to 2025
Year Publications
1987 1
1988 3
1989 5
1990 4
1991 4
1992 4
1993 5
1994 5
1995 10
1996 8
1997 14
1998 4
1999 15
2000 12
2001 17
2002 20
2003 27
2004 23
2005 10
2006 7
2007 9
2008 14
2009 10
2010 12
2011 21
2012 17
2013 10
2014 27
2015 21
2016 25
2017 20
2018 23
2019 27
2020 13
2021 18
2022 7
2023 13
2024 8
2025 10
Total 503
Download as CSV

Gang Tao 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 Gang Tao 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, 474–493 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: 481 publications — 83rd percentile

83% 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
474–493 117 481
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

Gang Tao 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 Gang Tao 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, 64 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: 64 D-Index — 82nd percentile

82% 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 64
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

Gang Tao is affiliated with the University of Virginia in the United States. They have contributed extensively to the field of engineering, with a specific focus on control and systems engineering. Their research spans multiple subfields, including control and systems engineering, statistical and nonlinear physics, aerospace engineering, computational theory and mathematics, and mechanical engineering.

The primary topics of their research include:

  • Adaptive Control of Nonlinear Systems
  • Control Systems and Identification
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Stability and Control of Uncertain Systems
  • Adaptive Dynamic Programming Control
  • Traffic control and management

Among their recent papers are:

  • Fabrication of antibacterial sericin based hydrogel as an injectable and mouldable wound dressing (2020), published in Materials Science and Engineering C
  • Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • Traffic Signal Control With Adaptive Online-Learning Scheme Using Multiple-Model Neural Networks (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • Adaptive Control Design and Evaluation for Multibody High-Speed Train Dynamic Models (2020), published in IEEE Transactions on Control Systems Technology
  • Co-Optimization Scheme for the Powertrain and Exhaust Emission Control System of Hybrid Electric Vehicles Using Future Speed Prediction (2021), published in IEEE Transactions on Intelligent Vehicles

Gang Tao frequently publishes in the following venues:

  • International Journal of Adaptive Control and Signal Processing
  • arXiv (Cornell University)
  • Automatica
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of the Franklin Institute

Collaborations have been an important aspect of their work. Frequent co-authors include:

  • Bin Jiang
  • Hong Wang
  • Wanshi Hong
  • Liyan Wen
  • Qianhong Zhao

Best Publications

  • Adaptive Control Design and Analysis

    Gang Tao

  • Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms*

    Chenyang Lu;John A. Stankovic;Gang Tao;Sang H. Son

  • Adaptive Control of Systems with Actuator and Sensor Nonlinearities

    Gang Tao;Petar V. Kokotovic

  • Adaptive control of plants with unknown hystereses

    G. Tao;P.V. Kokotovic

  • Adaptive state feedback and tracking control of systems with actuator failures

    G. Tao;S.M. Joshi;X. Ma

  • Adaptive control of plants with unknown dead-zones

    Gang Tao;P.V. Kokotovic

  • A Comparison Study

    Unknown

  • Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV

    Fuyang Chen;Rongqiang Jiang;Kangkang Zhang;Bin Jiang

  • Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation

    Mou Chen;Gang Tao;Bin Jiang

  • Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application

    Xidong Tang;Gang Tao;Suresh M. Joshi

  • Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone

    Mou Chen;Gang Tao

  • The case for feedback control real-time scheduling

    J.A. Stankovic;Chenyang Lu;S.H. Son;Gang Tao

  • Adaptive Control of Systems with Actuator Failures

    Gang Tao

  • An adaptive actuator failure compensation controller using output feedback

    G. Tao;S. Chen;S.M. Joshi

  • Multivariable adaptive control

    Gang Tao

  • Design and evaluation of a feedback control EDF scheduling algorithm

    C. Lu;J.A. Stankovic;G. Tao;S.H. Son

  • Brief Adaptive actuator failure compensation for parametric strict feedback systems and an aircraft application

    Xidong Tang;Gang Tao;Suresh M. Joshi

  • A simple alternative to the Barbalat lemma

    G. Tao

  • Adaptive control of systems with backlash

    Gang Tao;Petar V. Kokotovic

  • A novel nonlinear resilient control for a quadrotor UAV via backstepping control and nonlinear disturbance observer

    Fuyang Chen;Wen Lei;Kangkang Zhang;Gang Tao

  • Performance specifications and metrics for adaptive real-time systems

    Chenyang Lu;J.A. Stankovic;T.F. Abdelzaher;Gang Tao

  • Adaptive Control of Systems with Actuator Failures

    Unknown

Frequent Co-Authors

Bin Jiang
Bin Jiang Nanjing University of Aeronautics and Astronautics
Suresh M. Joshi
Suresh M. Joshi Langley Research Center
Petar V. Kokotovic
Petar V. Kokotovic University of California, Santa Barbara
John A. Stankovic
John A. Stankovic University of Virginia
Chenyang Lu
Chenyang Lu Washington University in St. Louis
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Xing-Gang Yan
Xing-Gang Yan University of Kent
Sang H. Son
Sang H. Son University of Virginia
Paul E. Allaire
Paul E. Allaire University of Virginia
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology

External Links

Personal website of Gang Tao Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Gang Tao

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Publications: 39

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