World's Best Scientists 2026 revealed!
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Lin Xiao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 51 2720 2610 455 453 211 8118
Computer Science 52 5170 5029 701 696 229 8381

Lin Xiao publications per year

The chart shows the history of publications by Lin Xiao between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lin Xiao published across 20 years, from 2006 to 2025, averaging 17.4 papers a year. Output peaked at 56 publications in 2022. 65 of the 347 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2022. 2006: 1 publication 2007: 0 publications 2008: 1 publication 2009: 3 publications 2010: 2 publications 2011: 7 publications 2012: 12 publications 2013: 12 publications 2014: 5 publications 2015: 5 publications 2016: 16 publications 2017: 15 publications 2018: 22 publications 2019: 29 publications 2020: 27 publications 2021: 35 publications 2022: 56 publications 2023: 34 publications 2024: 30 publications 2025: 35 publications
2006 2025

347 publications in total across all disciplines

View publications per year as a table
Lin Xiao: publications per year, 2006 to 2025
Year Publications
2006 1
2007 0
2008 1
2009 3
2010 2
2011 7
2012 12
2013 12
2014 5
2015 5
2016 16
2017 15
2018 22
2019 29
2020 27
2021 35
2022 56
2023 34
2024 30
2025 35
Total 347
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Lin Xiao 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 Lin Xiao 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, 194–213 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: 211 publications — 33rd percentile

33% 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
194–213 430 211
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
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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Lin Xiao 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 Lin Xiao 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, 51 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: 51 D-Index — 63rd percentile

63% 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 51
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
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Overview

Lin Xiao is affiliated with Hunan Normal University in China, contributing extensively to the fields of Engineering and Computer Science. Their research focuses primarily on Artificial Intelligence and Control and Systems Engineering, with considerable work also in Statistical and Nonlinear Physics, Computational Mechanics, and Computer Vision and Pattern Recognition.

The main topics covered by Lin Xiao's research include:

  • Neural Networks and Applications
  • Robotic Mechanisms and Dynamics
  • Model Reduction and Neural Networks
  • Iterative Learning Control Systems
  • Advanced Numerical Analysis Techniques
  • Fuzzy Logic and Control Systems
  • Control Systems and Identification

Lin Xiao has published in several frequent venues, reflecting a focus on neural networks, fuzzy systems, and industrial informatics. The top publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Industrial Informatics
  • Neurocomputing
  • IEEE Transactions on Fuzzy Systems

Some recent papers featuring Lin Xiao as an author are:

  • "Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation," 2021, IEEE Transactions on Industrial Informatics

Other notable publications related to topics within the broader research network include:

  • "Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem," 2020, IEEE Transactions on Fuzzy Systems
  • "Zeroing Neural Network With Fuzzy Parameter for Computing Pseudoinverse of Arbitrary Matrix," 2021, IEEE Transactions on Fuzzy Systems
  • "Conversion of waste plastics into value-added carbon materials," 2023, Environmental Chemistry Letters

Lin Xiao frequently collaborates with a group of researchers, including Jianhua Dai, Lei Jia, Yongjun He, Qiuyue Zuo, and Linju Li. The counts of their joint publications vary, evidencing ongoing collaborative research efforts.

Best Publications

  • Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator

    Lin Xiao;Bolin Liao;Shuai Li;Zhijun Zhang

  • A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function

    Fei Yu;Li Liu;Lin Xiao;Kenli Li

  • A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation

    Zhijun Zhang;Lunan Zheng;Jian Weng;Yijun Mao

  • Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.

    Lin Xiao;Bolin Liao;Shuai Li;Ke Chen

  • Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises

    Long Jin;Shuai Li;Lin Xiao;Rongbo Lu

  • A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation

    Lin Xiao;Bolin Liao

  • RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables

    Huiyan Lu;Long Jin;Xin Luo;Bolin Liao

  • Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities

    Lin Xiao;Yunong Zhang

  • Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function

    Lin Xiao;Rongbo Lu

  • Solving Time-Varying System of Nonlinear Equations by Finite-Time Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators

    Lin Xiao;Zhijun Zhang;Shuai Li

  • A Finite-Time Convergent and Noise-Rejection Recurrent Neural Network and Its Discretization for Dynamic Nonlinear Equations Solving

    Weibing Li;Lin Xiao;Bolin Liao

  • A New Performance Index for the Repetitive Motion of Mobile Manipulators

    Lin Xiao;Yunong Zhang

  • A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation

    Lin Xiao

  • A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators

    Zhijun Zhang;Tingzhong Fu;Ziyi Yan;Long Jin

  • A nonlinearly activated neural dynamics and its finite-time solution to time-varying nonlinear equation

    Lin Xiao

  • A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients

    Lin Xiao

  • A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion

    Lin Xiao

  • Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

    Yunong Zhang;Lin Xiao;Zhengli Xiao;Mingzhi Mao

  • A recurrent neural network with predefined-time convergence and improved noise tolerance for dynamic matrix square root finding

    Weibing Li;Bolin Liao;Lin Xiao;Rongbo Lu

  • A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.

    Lin Xiao;Lin Xiao;Yongsheng Zhang;Jianhua Dai;Ke Chen

  • Solving time-varying inverse kinematics problem of wheeled mobile manipulators using Zhang neural network with exponential convergence

    Lin Xiao;Lin Xiao;Yunong Zhang

  • A finite-time recurrent neural network for solving online time-varying Sylvester matrix equation based on a new evolution formula

    Lin Xiao

  • Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation

    Lin Xiao;Zhijun Zhang;Zili Zhang;Weibing Li

Frequent Co-Authors

Yunong Zhang
Yunong Zhang Sun Yat-sen University
Lei Ding
Lei Ding Jishou University
Long Jin
Long Jin Lanzhou University
Kenli Li
Kenli Li Hunan University
Shuai Li
Shuai Li University of Oulu
Keqin Li
Keqin Li State University of New York at New Paltz
Yaonan Wang
Yaonan Wang Hunan University
Xin Luo
Xin Luo Chinese Academy of Sciences
Bin Hu
Bin Hu Lanzhou University
Faa-Jeng Lin
Faa-Jeng Lin National Central University

External Links

Personal website of Lin Xiao

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Related Online Degrees & Career Pathways

For students exploring Electronics and Electrical Engineering, there are several related online degrees and career pathways worth considering. One option is pursuing a bachelor's in project management. This degree complements technical skills with leadership and organizational expertise, preparing graduates for roles that require managing engineering projects efficiently.

Many students and working professionals benefit from accelerated bachelors degree programs for adults. These programs allow learners to earn their degrees faster while balancing work and personal commitments, making them ideal for those transitioning into engineering or management fields.

If you are looking for faster completion, the best online accelerated project management degree programs offer flexible and intensive courses that emphasize key project management principles critical in engineering environments.

Additionally, those who prefer more independent work environments might be interested in exploring jobs for introverts, many of which align with the analytical and problem-solving nature of electronics and electrical engineering careers. Understanding these options can help tailor your educational path to fit your personality and professional goals.

Best Scientists Citing Lin Xiao

Yunong Zhang

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Publications: 179

Shuai Li

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Publications: 96

Predrag S. Stanimirović

Predrag S. Stanimirović

University of Nis

Publications: 18

Xiaodong Li

Xiaodong Li

University of Virginia

Publications: 14

Xin Luo

Xin Luo

Chinese Academy of Sciences

Publications: 11

Bin Hu

Bin Hu

Lanzhou University

Publications: 7

Erol Gelenbe

Erol Gelenbe

Institute of Theoretical and Applied Informatics

Publications: 5

Jiguo Yu

Jiguo Yu

Qilu University of Technology

Publications: 5

Yimin Wei

Yimin Wei

Fudan University

Publications: 5

Chunhua Wang

Chunhua Wang

Hunan University

Publications: 4

Yuanqing Li

Yuanqing Li

South China University of Technology

Publications: 3

Mingsheng Shang

Mingsheng Shang

Chinese Academy of Sciences

Publications: 3

Zhu Liang Yu

Zhu Liang Yu

South China University of Technology

Publications: 3

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