World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
7779
World Ranking
2127
National Ranking
365

Qiankun Song 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 Qiankun Song 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: 144 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Qiankun Song 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 Qiankun Song 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: 56 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Qiankun Song is affiliated with Chongqing Jiaotong University in China and has an extensive publication record predominantly in the fields of Computer Science and Engineering. Their research focuses primarily on neural networks, stability analysis, and control systems, with a notable emphasis on fractional-order and quaternion-valued neural networks.

Their work spans several subfields, including Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, and Management Science and Operations Research. This multidisciplinary approach underpins their contributions to topics such as neural networks stability and synchronization, applications of neural networks, stability and control of uncertain systems, fractional differential equations solutions, matrix theory and algorithms, as well as fuzzy systems and optimization.

Qiankun Song has published papers in a variety of respected scientific venues, with frequent appearances in:

  • Neurocomputing
  • International Journal of Systems Science
  • Applied Mathematics and Computation
  • Complexity
  • Fractal and Fractional

Some of their recent publications include:

  • Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties, 2020, Neurocomputing
  • Stability criteria of quaternion-valued neutral-type delayed neural networks, 2020, Neurocomputing

Frequent collaborators of Qiankun Song include Yurong Liu (23 coauthored works), Zhenjiang Zhao (16), Fuad E. Alsaadi (15), Xujun Yang (7), and Bo Zhou (6). Collaboration with these researchers spans multiple publications and reinforces joint contributions in the overlapping areas of control theory and neural network applications.

The main topics covered in Qiankun Song's research are:

  • Neural Networks Stability and Synchronization
  • Neural Networks and Applications
  • Stability and Control of Uncertain Systems
  • Advanced Memory and Neural Computing
  • Fractional Differential Equations Solutions
  • Matrix Theory and Algorithms
  • Fuzzy Systems and Optimization

This body of work reflects a consistent focus on combining theoretical foundations with practical implementations in neural computation and stability analysis, with applications that extend into broader engineering and computational disciplines.

Best Publications

  • Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects

    Qiankun Song;Huan Yan;Zhenjiang Zhao;Yurong Liu

  • Stability analysis of Cohen-Grossberg neural network with both time-varying and continuously distributed delays

    Qiankun Song;Jinde Cao

  • Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales

    Xiaofeng Chen;Qiankun Song

  • Multistability Analysis of Quaternion-Valued Neural Networks With Time Delays

    Qiankun Song;Xiaofeng Chen

  • Global exponential stability of impulsive complex-valued neural networks with both asynchronous time-varying and continuously distributed delays☆

    Qiankun Song;Huan Yan;Zhenjiang Zhao;Yurong Liu;Yurong Liu

  • Boundedness and Complete Stability of Complex-Valued Neural Networks With Time Delay

    Bo Zhou;Qiankun Song

  • Global exponential stability and existence of periodic solutions in BAM networks with delays and reaction-diffusion terms

    Qiankun Song;Jinde Cao

  • Stability analysis of impulsive stochastic Cohen–Grossberg neural networks with mixed time delays

    Qiankun Song;Zidong Wang

  • Exponential stability of recurrent neural networks with both time-varying delays and general activation functions via LMI approach

    Qiankun Song

  • Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties.

    Xiaofeng Chen;Xiaofeng Chen;Zhongshan Li;Qiankun Song;Jin Hu

  • Periodic solutions and its exponential stability of reaction–diffusion recurrent neural networks with continuously distributed delays

    Qiankun Song;Jinde Cao;Zhenjiang Zhao

  • Finite-time stability analysis of fractional-order neural networks with delay

    Xujun Yang;Qiankun Song;Yurong Liu;Zhenjiang Zhao

  • Passivity analysis of discrete-time stochastic neural networks with time-varying delays

    Qiankun Song;Jinling Liang;Zidong Wang

  • A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays

    Qiankun Song;Zidong Wang

  • Stability criterion of complex-valued neural networks with both leakage delay and time-varying delays on time scales

    Qiankun Song;Zhenjiang Zhao

  • Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties

    Qiankun Song;Qinqin Yu;Zhenjiang Zhao;Yurong Liu;Yurong Liu

  • Passivity of uncertain neural networks with both leakage delay and time-varying delay

    Qiankun Song;Jinde Cao

  • Dynamical behaviors of discrete-time fuzzy cellular neural networks with variable delays and impulses

    Qiankun Song;Jinde Cao

  • Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons.

    Xujun Yang;Chuandong Li;Qiankun Song;Jiyang Chen

  • Synchronization analysis of coupled connected neural networks with mixed time delays

    Qiankun Song

  • Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with both leakage and time-varying delays

    Limin Wang;Qiankun Song;Yurong Liu;Zhenjiang Zhao

  • Stability Analysis of Continuous-Time and Discrete-Time Quaternion-Valued Neural Networks With Linear Threshold Neurons

    Xiaofeng Chen;Qiankun Song;Zhongshan Li;Zhenjiang Zhao

Frequent Co-Authors

Fuad E. Alsaadi
Fuad E. Alsaadi King Abdulaziz University
Chuandong Li
Chuandong Li Southwest University
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Jinde Cao
Jinde Cao Southeast University
Zidong Wang
Zidong Wang Brunel University London
Jinling Liang
Jinling Liang Southeast University
Guo Chen
Guo Chen University of New South Wales
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Hao Shen
Hao Shen Anhui University of Technology
Xiaofeng Chen
Xiaofeng Chen Xidian University

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