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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 56 2127 2040 365 363 144 7779

Qiankun Song publications per year

The chart shows the history of publications by Qiankun Song between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qiankun Song published across 21 years, from 2005 to 2025, averaging 9.7 papers a year. Output peaked at 15 publications in 2018. 12 of the 204 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2018. 2005: 4 publications 2006: 5 publications 2007: 12 publications 2008: 9 publications 2009: 8 publications 2010: 14 publications 2011: 12 publications 2012: 7 publications 2013: 9 publications 2014: 9 publications 2015: 10 publications 2016: 8 publications 2017: 13 publications 2018: 15 publications 2019: 11 publications 2020: 14 publications 2021: 8 publications 2022: 12 publications 2023: 12 publications 2024: 8 publications 2025: 4 publications
2005 2025

204 publications in total across all disciplines

View publications per year as a table
Qiankun Song: publications per year, 2005 to 2025
Year Publications
2005 4
2006 5
2007 12
2008 9
2009 8
2010 14
2011 12
2012 7
2013 9
2014 9
2015 10
2016 8
2017 13
2018 15
2019 11
2020 14
2021 8
2022 12
2023 12
2024 8
2025 4
Total 204
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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.

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, 134–153 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: 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.

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
134–153 355 144
154–173 403
174–193 445
194–213 430
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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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.

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, 56 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: 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.

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 56
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
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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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