World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 59 1734 1661 88 82 252 14390

Xiaoping Liu publications per year

The chart shows the history of publications by Xiaoping Liu between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaoping Liu published across 38 years, from 1989 to 2026, averaging 8.4 papers a year. Output peaked at 37 publications in 2021. 23 of the 321 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2021. 1989: 2 publications 1990: 0 publications 1991: 1 publication 1992: 3 publications 1993: 0 publications 1994: 3 publications 1995: 2 publications 1996: 2 publications 1997: 2 publications 1998: 6 publications 1999: 6 publications 2000: 1 publication 2001: 2 publications 2002: 6 publications 2003: 7 publications 2004: 5 publications 2005: 5 publications 2006: 3 publications 2007: 6 publications 2008: 13 publications 2009: 9 publications 2010: 3 publications 2011: 4 publications 2012: 2 publications 2013: 3 publications 2014: 12 publications 2015: 12 publications 2016: 13 publications 2017: 15 publications 2018: 21 publications 2019: 17 publications 2020: 29 publications 2021: 37 publications 2022: 17 publications 2023: 16 publications 2024: 13 publications 2025: 21 publications 2026: 2 publications
1989 2026

321 publications in total across all disciplines

View publications per year as a table
Xiaoping Liu: publications per year, 1989 to 2026
Year Publications
1989 2
1990 0
1991 1
1992 3
1993 0
1994 3
1995 2
1996 2
1997 2
1998 6
1999 6
2000 1
2001 2
2002 6
2003 7
2004 5
2005 5
2006 3
2007 6
2008 13
2009 9
2010 3
2011 4
2012 2
2013 3
2014 12
2015 12
2016 13
2017 15
2018 21
2019 17
2020 29
2021 37
2022 17
2023 16
2024 13
2025 21
2026 2
Total 321
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Xiaoping 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 Xiaoping 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, 234–253 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: 252 publications — 45th percentile

45% 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
234–253 399 252
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
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Xiaoping 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 Xiaoping 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, 59 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: 59 D-Index — 75th percentile

75% 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 59
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
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Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to system identification and networked teleoperation

Overview

Xiaoping Liu is affiliated with Lakehead University in Canada and has contributed extensively to the fields of engineering and computer science. Their research primarily focuses on control and systems engineering, with significant work in computer networks and communications as well as computational theory and mathematics.

The subfields in which Liu has published include:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Liu's scholarly output emphasizes several key topics within adaptive control and advanced systems optimization. The main topics of their work include:

  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems
  • Dynamics and Control of Mechanical Systems

Among frequently published venues for Xiaoping Liu are:

  • International Journal of Robust and Nonlinear Control
  • International Journal of Systems Science
  • International Journal of Control
  • Information Sciences
  • International Journal of Control Automation and Systems

Liu has collaborated with a number of researchers on multiple occasions. Their frequent co-authors include:

  • Huanqing Wang
  • Cungen Liu
  • Yucheng Zhou
  • Yuanwei Jing
  • Chuang Gao

Recent notable publications by Xiaoping Liu include:

  • "Annular Domain Finite-Time Connective Control for Large-Scale Systems With Expanding Construction," 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Finite-Time Prescribed Performance Control for Spacecraft Attitude Tracking," 2021, IEEE/ASME Transactions on Mechatronics
  • "A novel finite-time prescribed performance control scheme for spacecraft attitude tracking," 2021, Aerospace Science and Technology
  • "Adaptive Practical Fixed-Time Tracking Control With Prescribed Boundary Constraints," 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • "Finite-time prescribed performance adaptive fuzzy control for unknown nonlinear systems," 2020, Fuzzy Sets and Systems

Liu was named an IEEE Fellow in 2019 for contributions to system identification and networked teleoperation.

Best Publications

  • Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems

    Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin

  • Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems

    Fang Wang;Bing Chen;Xiaoping Liu;Chong Lin

  • Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints

    Huanqing Wang;Bing Chen;Xiaoping Liu;Kefu Liu

  • Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach

    Bing Chen;X. P. Liu;S. S. Ge;Chong Lin

  • Delay-dependent robust H/sub /spl infin// control for T-S fuzzy systems with time delay

    Bing Chen;Xiaoping Liu

  • Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems

    Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin

  • Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique

    Min Wang;Xiaoping Liu;Peng Shi

  • Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis

    Huanqing Wang;Bing Chen;Kefu Liu;Xiaoping Liu

  • Neural-Based Adaptive Output-Feedback Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems

    Huanqing Wang;Kefu Liu;Xiaoping Liu;Bing Chen

  • Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults

    Huanqing Wang;Peter Xiaoping Liu;Xudong Zhao;Xiaoping Liu

  • Approximation-Based Adaptive Fuzzy Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Time-Delay Systems

    Huanqing Wang;Xiaoping Liu;Kefu Liu;Hamid Reza Karimi

  • Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems

    Bing Chen;Xiaoping Liu;Shaocheng Tong

  • Fuzzy guaranteed cost control for nonlinear systems with time-varying delay

    Bing Chen;Xiaoping Liu

  • Adaptive neural networks finite-time tracking control for non-strict feedback systems via prescribed performance

    Yang Liu;Yang Liu;Xiaoping Liu;Xiaoping Liu;Yuanwei Jing

  • A Novel Finite-Time Adaptive Fuzzy Tracking Control Scheme for Nonstrict Feedback Systems

    Yang Liu;Xiaoping Liu;Yuanwei Jing;Ziye Zhang

  • Robust Adaptive Neural Tracking Control for a Class of Stochastic Nonlinear Interconnected Systems

    Huanqing Wang;Xiaoping Liu;Kefu Liu

  • Adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear time-delay systems

    Min Wang;Bing Chen;Xiaoping Liu;Peng Shi

  • Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems

    Bing Chen;Chong Lin;Xiaoping Liu;Kefu Liu

  • Observer and Adaptive Fuzzy Control Design for Nonlinear Strict-Feedback Systems With Unknown Virtual Control Coefficients

    Bing Chen;Xiaoping Liu;Chong Lin

  • New delay-dependent stabilization conditions of T--S fuzzy systems with constant delay

    Bing Chen;Xiaoping Liu;Shaocheng Tong

Frequent Co-Authors

Huanqing Wang
Huanqing Wang Bohai University
Bing Chen
Bing Chen Qingdao University
Chong Lin
Chong Lin Qingdao University
Kefu Liu
Kefu Liu Lakehead University
Shaocheng Tong
Shaocheng Tong Liaoning University of Technology
Georgi M. Dimirovski
Georgi M. Dimirovski Doğuş University
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
Kemin Zhou
Kemin Zhou Shandong University of Science and Technology
Peng Shi
Peng Shi University of Adelaide
Shuai Li
Shuai Li University of Oulu

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