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 80 536 514 85 85 239 23112

Yan-Jun Liu publications per year

The chart shows the history of publications by Yan-Jun Liu between 2006 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yan-Jun Liu published across 21 years, from 2006 to 2026, averaging 12.1 papers a year. Output peaked at 32 publications in 2021. 23 of the 255 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2006 to 2026. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2021. 2006: 3 publications 2007: 2 publications 2008: 8 publications 2009: 8 publications 2010: 7 publications 2011: 14 publications 2012: 4 publications 2013: 5 publications 2014: 15 publications 2015: 14 publications 2016: 18 publications 2017: 19 publications 2018: 9 publications 2019: 14 publications 2020: 22 publications 2021: 32 publications 2022: 8 publications 2023: 13 publications 2024: 17 publications 2025: 18 publications 2026: 5 publications
2006 2026

255 publications in total across all disciplines

View publications per year as a table
Yan-Jun Liu: publications per year, 2006 to 2026
Year Publications
2006 3
2007 2
2008 8
2009 8
2010 7
2011 14
2012 4
2013 5
2014 15
2015 14
2016 18
2017 19
2018 9
2019 14
2020 22
2021 32
2022 8
2023 13
2024 17
2025 18
2026 5
Total 255
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Yan-Jun 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 Yan-Jun 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: 239 publications — 41st percentile

41% 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
234–253 399 239
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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Yan-Jun 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 Yan-Jun 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
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Overview

Yan-Jun Liu is affiliated with Liaoning University of Technology in China. Their research primarily focuses on engineering and computer science, with a significant number of publications spanning these domains. Within these broad areas, they specialize in several subfields including control and systems engineering, computer networks and communications, artificial intelligence, computational theory and mathematics, and mechanical engineering.

Their work covers a range of topics such as:

  • Adaptive Control of Nonlinear Systems
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Neural Networks Stability and Synchronization
  • Robotic Path Planning Algorithms
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems

Yan-Jun Liu has contributed to various frequent publication venues, including:

  • International Journal of Robust and Nonlinear Control
  • International Journal of Adaptive Control and Signal Processing
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE/CAA Journal of Automatica Sinica

Among their recent papers are:

  • "Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Adaptive Finite-Time Neural Network Control of Nonlinear Systems With Multiple Objective Constraints and Application to Electromechanical System" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Adaptive neural fault-tolerant control of a quadrotor UAV via fast terminal sliding mode" (2022), published in Aerospace Science and Technology
  • "Time-varying asymmetrical BLFs based adaptive finite-time neural control of nonlinear systems with full state constraints" (2020), published in IEEE/CAA Journal of Automatica Sinica
  • "Anti-Saturation-Based Adaptive Sliding-Mode Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints" (2021), published in IEEE Transactions on Cybernetics

Their frequent collaborators include:

  • Lei Liu
  • Shaocheng Tong
  • Li Tang
  • Jie Lan
  • Tongyu Xu

Best Publications

  • Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

    Yan-Jun Liu;Shaocheng Tong

  • Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

    Yan Jun Liu;Shaocheng Tong

  • Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

    Shaocheng Tong;Yue Li;Yongming Li;Yanjun Liu

  • Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

    C. L. Philip Chen;Guo-Xing Wen;Yan-Jun Liu;Fei-Yue Wang

  • Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints

    Yan Jun Liu;Shumin Lu;Shaocheng Tong;Xinkai Chen

  • Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems

    C. L. Philip Chen;Guo-Xing Wen;Yan-Jun Liu;Zhi Liu

  • Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

    Yongming Li;Yanjun Liu;Shaocheng Tong

  • Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems

    C. L. Philip Chen;Yan-Jun Liu;Guo-Xing Wen

  • Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints

    Yan-Jun Liu;Jing Li;Shaocheng Tong;C. L. Philip Chen

  • Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems

    Lei Liu;Yan-Jun Liu;Shaocheng Tong

  • Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone

    Yan-Jun Liu;Ying Gao;Shaocheng Tong;Yongming Li

  • Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems

    Yan-Jun Liu;C. L. P. Chen;Guo-Xing Wen;Shaocheng Tong

  • Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems

    Guoxing Wen;C. L. Philip Chen;Yan-Jun Liu;Zhi Liu

  • Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay

    Da-Peng Li;Yan-Jun Liu;Shaocheng Tong;C. L. Philip Chen

  • Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics

    Yan-Jun Liu;Shaocheng Tong;C. L. P. Chen

  • Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems

    Yan-Jun Liu;Shumin Lu;Dongjuan Li;Shaocheng Tong

  • Robust Adaptive Tracking Control for Nonlinear Systems Based on Bounds of Fuzzy Approximation Parameters

    Yan-Jun Liu;Wei Wang;Shao-Cheng Tong;Yi-Sha Liu

  • Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States.

    Yan-Jun Liu;Wei Zhao;Lei Liu;Dapeng Li

  • Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems With Full State Constraints

    Yan-Jun Liu;Mingzhe Gong;Shaocheng Tong;C. L. Philip Chen

  • Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone Input

    Yan-Jun Liu;Shaocheng Tong

Frequent Co-Authors

Shaocheng Tong
Shaocheng Tong Liaoning University of Technology
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Tieshan Li
Tieshan Li University of Electronic Science and Technology of China
Zongquan Deng
Zongquan Deng Harbin Institute of Technology
Liang Ding
Liang Ding Harbin Institute of Technology
Zhi Liu
Zhi Liu Guangdong University of Technology
Yun Zhang
Yun Zhang Guangdong University of Technology
Wei He
Wei He University of Science and Technology Beijing
Changyin Sun
Changyin Sun Southeast University
Gang Feng
Gang Feng City University of Hong Kong

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