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Electronics and Electrical Engineering
China
2023

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
106
Citations
40417
World Ranking
131
National Ranking
16

Shengyuan Xu 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 Shengyuan Xu sits on this spectrum.

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 publications 1,065+

This scientist: 629 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Shengyuan Xu 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 Shengyuan Xu sits on this spectrum.

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: 106 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

Shengyuan Xu is affiliated with Nanjing University of Science and Technology in China. Their research spans primarily the fields of Engineering and Computer Science, with significant contributions in Control and Systems Engineering, as well as Computer Networks and Communications.

The scientist's work focuses on various subfields and topics including:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Statistical and Nonlinear Physics
  • Artificial Intelligence

  • Stability and Control of Uncertain Systems
  • Adaptive Control of Nonlinear Systems
  • Neural Networks Stability and Synchronization
  • Distributed Control Multi-Agent Systems
  • Advanced Control Systems Optimization
  • Adaptive Dynamic Programming Control
  • Fault Detection and Control Systems

Shengyuan Xu has published extensively in several key venues, including:

  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • International Journal of Robust and Nonlinear Control

The scientist has authored multiple papers, some recent notable ones are:

  • Adaptive Finite-Time Stabilization of Stochastic Nonlinear Systems Subject to Full-State Constraints and Input Saturation, 2020, IEEE Transactions on Automatic Control
  • Distributed Nash Equilibrium Seeking in Games With Partial Decision Information: A Survey, 2023, Proceedings of the IEEE
  • Robust Tracking Control of Robot Manipulators With Actuator Faults and Joint Velocity Measurement Uncertainty, 2020, IEEE/ASME Transactions on Mechatronics
  • Quantized Guaranteed Cost Output Feedback Control for Nonlinear Networked Control Systems and Its Applications, 2021, IEEE Transactions on Fuzzy Systems
  • Command-Filter-Based Finite-Time Adaptive Control for Nonlinear Systems With Quantized Input, 2020, IEEE Transactions on Automatic Control

They have also contributed to book publications, including a work published by Springer International Publishing titled Observer-Based Fault Diagnosis and Fault-Tolerant Control for Switched Systems in 2020.

Frequent coauthors of Shengyuan Xu include:

  • Zhengqiang Zhang
  • Qian Ma
  • Deming Yuan
  • Ju H. Park
  • Baoyong Zhang

Best Publications

  • Robust stability and stabilization for singular systems with state delay and parameter uncertainty

    Unknown

  • Robust Control and Filtering of Singular Systems

    Shengyuan Xu;James Lam

  • Robust H/sup /spl infin// filtering for uncertain Markovian jump systems with mode-dependent time delays

    Shengyuan Xu;Tongwen Chen;J. Lam

  • Improved delay-dependent stability criteria for time-delay systems

    Shengyuan Xu;J. Lam

  • Delay-Dependent $H_{\infty }$ Control and Filtering for Uncertain Markovian Jump Systems With Time-Varying Delays

    Shengyuan Xu;J. Lam;Xuerong Mao

  • Robust H/spl infin/ control for uncertain stochastic systems with state delay

    Shengyuan Xu;Tongwen Chen

  • A survey of linear matrix inequality techniques in stability analysis of delay systems

    Shengyuan Xu;James Lam

  • Filtering of Markovian Jump Delay Systems Based on a New Performance Index

    Baoyong Zhang;Wei Xing Zheng;Shengyuan Xu

  • Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems

    Qi Zhou;Peng Shi;Jinjun Lu;Shengyuan Xu

  • Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations

    Hao Shen;Feng Li;Shengyuan Xu;Victor Sreeram

  • Robust stability and stabilization of discrete singular systems: an equivalent characterization

    Shengyuan Xu;J. Lam

  • Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay

    Qi Zhou;Peng Shi;Shengyuan Xu;Hongyi Li

  • On Equivalence and Efficiency of Certain Stability Criteria for Time-Delay Systems

    Shengyuan Xu;J. Lam

  • Robust H/sub /spl infin// control for uncertain discrete-time-delay fuzzy systems via output feedback controllers

    Shengyuan Xu;J. Lam

  • Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements

    Jianzhen Li;Wei Ren;Shengyuan Xu

  • Technical communique: New results on delay-dependent robust H∞ control for systems with time-varying delays

    Shengyuan Xu;James Lam;Yun Zou

  • Novel global asymptotic stability criteria for delayed cellular neural networks

    Shengyuan Xu;J. Lam;D.W.C. Ho;Y. Zou

  • Neural-Network-Based Decentralized Adaptive Output-Feedback Control for Large-Scale Stochastic Nonlinear Systems

    Qi Zhou;Peng Shi;Honghai Liu;Shengyuan Xu

  • Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach

    Qi Zhou;Peng Shi;Shengyuan Xu;Hongyi Li

  • A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks

    Shengyuan Xu;J. Lam;D.W.C. Ho

  • Delay-dependent exponential stability for a class of neural networks with time delays

    Shengyuan Xu;James Lam;Daniel W. C. Ho;Yun Zou

Frequent Co-Authors

James Lam
James Lam University of Hong Kong
Baoyong Zhang
Baoyong Zhang Nanjing University of Science and Technology
Zhengqiang Zhang
Zhengqiang Zhang Qufu Normal University
Qian Ma
Qian Ma Nanjing University of Science and Technology
Ju H. Park
Ju H. Park Yeungnam University
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Peng Shi
Peng Shi University of Adelaide
Krzysztof Galkowski
Krzysztof Galkowski University of Zielona Góra

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