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Guo-Ping Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 80 531 509 82 82 572 24626

Guo-Ping Liu publications per year

The chart shows the history of publications by Guo-Ping Liu between 1989 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Guo-Ping Liu published across 33 years, from 1989 to 2021, averaging 17.7 papers a year. Output peaked at 50 publications in 2021. 83 of the 585 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1989 to 2021. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2021. 1989: 1 publication 1990: 1 publication 1991: 2 publications 1992: 5 publications 1993: 4 publications 1994: 5 publications 1995: 5 publications 1996: 9 publications 1997: 4 publications 1998: 13 publications 1999: 21 publications 2000: 12 publications 2001: 9 publications 2002: 6 publications 2003: 7 publications 2004: 8 publications 2005: 21 publications 2006: 15 publications 2007: 38 publications 2008: 37 publications 2009: 39 publications 2010: 33 publications 2011: 36 publications 2012: 21 publications 2013: 16 publications 2014: 25 publications 2015: 12 publications 2016: 16 publications 2017: 23 publications 2018: 33 publications 2019: 25 publications 2020: 33 publications 2021: 50 publications
1989 2021

585 publications in total across all disciplines

View publications per year as a table
Guo-Ping Liu: publications per year, 1989 to 2021
Year Publications
1989 1
1990 1
1991 2
1992 5
1993 4
1994 5
1995 5
1996 9
1997 4
1998 13
1999 21
2000 12
2001 9
2002 6
2003 7
2004 8
2005 21
2006 15
2007 38
2008 37
2009 39
2010 33
2011 36
2012 21
2013 16
2014 25
2015 12
2016 16
2017 23
2018 33
2019 25
2020 33
2021 50
Total 585
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Guo-Ping 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 Guo-Ping 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, 554–573 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: 572 publications — 89th percentile

89% 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 75 572
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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Guo-Ping 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 Guo-Ping 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, 80 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: 80 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 80
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

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Operating system

His main research concerns Control theory, Control system, Control engineering, Model predictive control and Networked control system. His study in Control theory concentrates on Linear matrix inequality, Stability, Nonlinear system, Lyapunov function and Linear system. His Linear matrix inequality research includes elements of Lyapunov functional and Delay dependent.

His studies in Control system integrate themes in fields like Genetic algorithm and Interval. The concepts of his Model predictive control study are interwoven with issues in Quantization and Computer engineering. His Networked control system research incorporates themes from Stability criterion, Compensation, Automatic control, Real-time computing and Transmission delay.

His most cited work include:

  • Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems (921 citations)
  • Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties (679 citations)
  • Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays (678 citations)

What are the main themes of his work throughout his whole career to date?

Guo-Ping Liu mostly deals with Control theory, Control system, Model predictive control, Control engineering and Networked control system. His study in Network packet extends to Control theory with its themes. His research investigates the link between Control system and topics such as Stability criterion that cross with problems in Linear matrix inequality.

His Model predictive control research integrates issues from Multi-agent system, Network delay and Constant. His research investigates the connection between Multi-agent system and topics such as Protocol that intersect with issues in Consensus and Topology. His studies deal with areas such as Matrix and Eigenvalues and eigenvectors as well as Linear system.

He most often published in these fields:

  • Control theory (79.41%)
  • Control system (35.64%)
  • Model predictive control (29.41%)

What were the highlights of his more recent work (between 2016-2021)?

  • Control theory (79.41%)
  • Control system (35.64%)
  • Model predictive control (29.41%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Control theory, Control system, Model predictive control, Multi-agent system and Network packet. His Control research extends to the thematically linked field of Control theory. His Control system research is multidisciplinary, incorporating elements of Kalman filter, Time delays, Real-time computing and Embedded system.

Guo-Ping Liu has included themes like Tracking error, State and Mobile robot in his Model predictive control study. Guo-Ping Liu has researched Multi-agent system in several fields, including Distributed computing, Network topology, Protocol and Topology. His study in Network packet is interdisciplinary in nature, drawing from both State-space representation, Process, Linear system and Networked control system.

Between 2016 and 2021, his most popular works were:

  • A Robust High-Accuracy Ultrasound Indoor Positioning System Based on a Wireless Sensor Network. (65 citations)
  • Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling (53 citations)
  • A Survey on Formation Control of Small Satellites (39 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Artificial intelligence
  • Operating system

Guo-Ping Liu mainly focuses on Control theory, Multi-agent system, Model predictive control, Networked control system and Network packet. Control theory connects with themes related to Constant in his study. The study incorporates disciplines such as Stability, Distributed computing, Protocol and Topology in addition to Multi-agent system.

His work in Model predictive control addresses subjects such as Network topology, which are connected to disciplines such as Matrix, Algorithm and Upper and lower bounds. Control system and Control engineering are inextricably linked to his Networked control system research. His Network packet research includes themes of Finite time, Time delays and Control.

Best Publications

  • Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems

    Min Wu;Yong He;Jin-Hua She;Guo-Ping Liu

  • Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties

    Yong He;Min Wu;Jin-Hua She;Guo-Ping Liu

  • Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays

    Yong He;Min Wu;Jin-Hua She;Guo-Ping Liu;Guo-Ping Liu

  • Technical communique: Improved delay-range-dependent stability criteria for linear systems with time-varying delays

    Jian Sun;G. P. Liu;Jie Chen;D. Rees

  • On designing of sliding-mode control for stochastic jump systems

    Peng Shi;Yuanqing Xia;G.P. Liu;D. Rees

  • Networked Predictive Control of Systems With Random Network Delays in Both Forward and Feedback Channels

    Guo-Ping Liu;Yuanqing Xia;Jie Chen;D. Rees

  • New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay

    Yong He;Guoping Liu;D. Rees

  • Technical communique: Network-based feedback control for systems with mixed delays based on quantization and dropout compensation

    Rongni Yang;Peng Shi;Guo-Ping Liu;Huijun Gao

  • Output Feedback Stabilization for a Discrete-Time System With a Time-Varying Delay

    Yong He;Min Wu;Guo-Ping Liu;Jin-Hua She

  • Delay-dependent stability and stabilization of neutral time-delay systems

    Jian Sun;Jian Sun;G. P. Liu;G. P. Liu;Jie Chen

  • Stability Analysis for Neural Networks With Time-Varying Interval Delay

    Yong He;G.P. Liu;D. Rees;Min Wu

  • Inference and learning methodology of belief-rule-based expert system for pipeline leak detection

    Dong Ling Xu;Jun Liu;Jian Bo Yang;Guo Ping Liu;Guo Ping Liu;Guo Ping Liu

  • Design and stability analysis of networked control systems with random communication time delay using the modified MPC

    G. P. Liu;J. X. Mu;D. Rees;S. C. Chai

  • Stability Analysis for Linear Switched Systems With Time-Varying Delay

    Xi-Ming Sun;Wei Wang;Guo-Ping Liu;Jun Zhao

  • Predictive Output Feedback Control for Networked Control Systems

    Rongni Yang;Guo-Ping Liu;Peng Shi;Clive Thomas

  • Eigenstructure Assignment for Control System Design

    Guoping P. Liu;Ron Patton

  • Filtering for Discrete-Time Networked Nonlinear Systems With Mixed Random Delays and Packet Dropouts

    Rongni Yang;Peng Shi;Guo-Ping Liu

  • Design and Stability Criteria of Networked Predictive Control Systems With Random Network Delay in the Feedback Channel

    Guo-Ping Liu;Yuanqing Xia;D. Rees;W. Hu

  • Nonlinear Identification and Control: A Neural Network Approach

    G.P. Liu

  • Optimal fuzzy power control and management of fuel cell/battery hybrid vehicles

    Chun-Yan Li;Guo-Ping Liu;Guo-Ping Liu

Frequent Co-Authors

David Rees
David Rees University of South Wales
Donghua Zhou
Donghua Zhou Shandong University of Science and Technology
Min Wu
Min Wu China University of Geosciences
Ron J. Patton
Ron J. Patton University of Hull
Yong He
Yong He China University of Geosciences
Peng Shi
Peng Shi University of Adelaide
Yu Kang
Yu Kang University of Science and Technology of China
Visakan Kadirkamanathan
Visakan Kadirkamanathan University of Sheffield
Xi-Ming Sun
Xi-Ming Sun Dalian University of Technology
Jinhua She
Jinhua She Tokyo University of Technology

External Links

Personal website of Guo-Ping Liu Google Scholar page

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Best Scientists Citing Guo-Ping Liu

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Ju H. Park

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Publications: 115

Zidong Wang

Zidong Wang

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Publications: 114

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 99

Hamid Reza Karimi

Hamid Reza Karimi

Polytechnic University of Milan

Publications: 92

Jun Zhao

Jun Zhao

Northeastern University

Publications: 89

Qing-Long Han

Qing-Long Han

Swinburne University of Technology

Publications: 86

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 76

Zheng-Guang Wu

Zheng-Guang Wu

Zhejiang University

Publications: 71

Wei Xing Zheng

Wei Xing Zheng

Western Sydney University

Publications: 69

Yong He

Yong He

China University of Geosciences

Publications: 69

Ligang Wu

Ligang Wu

Harbin Institute of Technology

Publications: 69

Shengyuan Xu

Shengyuan Xu

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Publications: 64

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