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Zhong-Ke Gao

Zhong-Ke Gao

Tianjin University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 48 4691 4516 919 915 156 6872

Zhong-Ke Gao publications per year

The chart shows the history of publications by Zhong-Ke Gao between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhong-Ke Gao published across 18 years, from 2008 to 2025, averaging 12.8 papers a year. Output peaked at 29 publications in 2025. 48 of the 231 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2025. 2008: 2 publications 2009: 3 publications 2010: 6 publications 2011: 4 publications 2012: 11 publications 2013: 9 publications 2014: 14 publications 2015: 12 publications 2016: 15 publications 2017: 13 publications 2018: 10 publications 2019: 11 publications 2020: 20 publications 2021: 25 publications 2022: 10 publications 2023: 18 publications 2024: 19 publications 2025: 29 publications
2008 2025

231 publications in total across all disciplines

View publications per year as a table
Zhong-Ke Gao: publications per year, 2008 to 2025
Year Publications
2008 2
2009 3
2010 6
2011 4
2012 11
2013 9
2014 14
2015 12
2016 15
2017 13
2018 10
2019 11
2020 20
2021 25
2022 10
2023 18
2024 19
2025 29
Total 231
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Zhong-Ke Gao publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zhong-Ke Gao sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 156 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 156
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Zhong-Ke Gao D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zhong-Ke Gao sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 48 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271 48
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Zhong-Ke Gao is affiliated with Tianjin University in China and has a substantial body of research primarily focused on engineering, neuroscience, and computer science. Their work navigates several subfields, including cognitive neuroscience, biomedical engineering, artificial intelligence, ocean engineering, and experimental and cognitive psychology. These areas reflect a multidisciplinary approach engaging with both theoretical and applied sciences.

Their research topics emphasize EEG and brain-computer interfaces, fluid dynamics and mixing, neural dynamics and brain function, advanced memory and neural computing, neuroscience and neural engineering, gaze tracking and assistive technology, and functional brain connectivity studies. This wide-ranging scope highlights an integration of computational methods with neurophysiological data to address complex scientific questions.

Zhong-Ke Gao contributes frequently to journals that focus on instrumentation, nonlinear science, sensors technology, biomedical informatics, and statistical mechanics. Notable venues where their publications appear include:

  • IEEE Transactions on Instrumentation and Measurement
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • IEEE Sensors Journal
  • IEEE Journal of Biomedical and Health Informatics
  • Physica A Statistical Mechanics and its Applications

Collaboration is a significant aspect of Gao's research environment. Frequent coauthors include Weidong Dang, Chao Ma, Xinlin Sun, Mengyu Li, and Dongmei Lv, each contributing to multiple publications with Gao. These partnerships have helped expand the breadth and depth of their research output.

Selected recent papers authored by Zhong-Ke Gao showcase their focus on EEG signal analysis and neural network applications in brain-computer interfaces and emotion recognition:

  • Complex networks and deep learning for EEG signal analysis, 2020, Cognitive Neurodynamics
  • A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning, 2020, IEEE Transactions on Systems Man and Cybernetics Systems

Other recent influential publications linked to their domain of study, although credited to some coauthors, include:

  • Dynamic Joint Domain Adaptation Network for Motor Imagery Classification, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • A Transformer based neural network for emotion recognition and visualizations of crucial EEG channels, 2022, Physica A Statistical Mechanics and its Applications

Best Publications

  • EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation

    Zhongke Gao;Xinmin Wang;Yuxuan Yang;Chaoxu Mu

  • Complex network analysis of time series

    Zhong Ke Gao;Michael Small;Jürgen Kurths;Jürgen Kurths;Jürgen Kurths

  • Complex network from time series based on phase space reconstruction

    Zhongke Gao;Ningde Jin

  • Flow-pattern identification and nonlinear dynamics of gas-liquid two-phase flow in complex networks.

    Zhongke Gao;Ningde Jin

  • Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow

    Zhong-Ke Gao;Peng-Cheng Fang;Mei-Shuang Ding;Ning-De Jin

  • Complex networks and deep learning for EEG signal analysis

    Zhongke Gao;Weidong Dang;Xinmin Wang;Xiaolin Hong

  • A novel convolutional neural network framework based solar irradiance prediction method

    Unknown

  • Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG.

    Zhong-Ke Gao;Qing Cai;Yu-Xuan Yang;Na Dong

  • Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series

    Zhong-Ke Gao;Qing Cai;Yu-Xuan Yang;Wei-Dong Dang

  • A Channel-fused Dense Convolutional Network for EEG-based Emotion Recognition

    Zhongke Gao;Xinmin Wang;Yuxuan Yang;Yanli Li

  • A directed weighted complex network for characterizing chaotic dynamics from time series

    Zhong-Ke Gao;Ning-De Jin

  • Flow pattern and water holdup measurements of vertical upward oil–water two-phase flow in small diameter pipes

    Meng Du;Ning-De Jin;Zhong-Ke Gao;Zhen-Ya Wang

  • Multi-frequency complex network from time series for uncovering oil-water flow structure

    Zhong-Ke Gao;Yu-Xuan Yang;Peng-Cheng Fang;Ning-De Jin

  • Multiscale complex network for analyzing experimental multivariate time series

    Zhong-Ke Gao;Yu-Xuan Yang;Peng-Cheng Fang;Yong Zou

  • Dynamic Joint Domain Adaptation Network for Motor Imagery Classification

    Xiaolin Hong;Qingqing Zheng;Luyan Liu;Peiyin Chen

  • A Four-Sector Conductance Method for Measuring and Characterizing Low-Velocity Oil–Water Two-Phase Flows

    Zhongke Gao;Yuxuan Yang;Lusheng Zhai;Ningde Jin

  • Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows

    Zhong-Ke Gao;Zhong-Ke Gao;Zhong-Ke Gao;Xin-Wang Zhang;Ning-De Jin;Reik V. Donner

  • Motif distributions in phase-space networks for characterizing experimental two-phase flow patterns with chaotic features.

    Zhong Ke Gao;Zhong Ke Gao;Ning De Jin;Wen Xu Wang;Ying-Cheng Lai

  • A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals

    Yuxuan Yang;Zhongke Gao;Yanli Li;Qing Cai

  • A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System

    Zhongke Gao;Weidong Dang;Chaoxu Mu;Yuxuan Yang

  • Nonlinear dynamic analysis of large diameter inclined oil–water two phase flow pattern

    Yan-Bo Zong;Ning-De Jin;Zhen-Ya Wang;Zhong-Ke Gao

  • Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow.

    Zhong-Ke Gao;Xin-Wang Zhang;Ning-De Jin;Norbert Marwan

  • Spatial prisoner's dilemma games with increasing neighborhood size and individual diversity on two interdependent lattices

    Xiao-Kun Meng;Cheng-Yi Xia;Zhong-Ke Gao;Li Wang

Frequent Co-Authors

Celso Grebogi
Celso Grebogi University of Aberdeen
Guanrong Chen
Guanrong Chen City University of Hong Kong
Chengyi Xia
Chengyi Xia Tianjin Polytechnic University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Changyin Sun
Changyin Sun Southeast University
Xiong Yang
Xiong Yang Tianjin University
Ying-Cheng Lai
Ying-Cheng Lai Arizona State University
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Michael Small
Michael Small University of Western Australia
Hsiao-Dong Chiang
Hsiao-Dong Chiang Cornell University

External Links

Personal website of Zhong-Ke Gao

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Publications: 39

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Publications: 22

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Publications: 19

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Pengjian Shang

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Publications: 15

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Publications: 15

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Publications: 15

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Osvaldo A. Rosso

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Publications: 12

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Publications: 12

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Publications: 12

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Publications: 9

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Publications: 8

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Publications: 7

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