World's Best Scientists 2026 revealed!
Wenming Zheng

Wenming Zheng

D-Index & Metrics

Computer Science

D-Index
56
Citations
11586
World Ranking
4109
National Ranking
547

Wenming Zheng publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wenming Zheng sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Wenming Zheng D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wenming Zheng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Wenming Zheng is affiliated with Southeast University in China and specializes in the field of Computer Science with a focus on subfields including Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence, Cognitive Neuroscience, and Signal Processing.

The main topics covered in Zheng's research include:

  • Emotion and Mood Recognition
  • EEG and Brain-Computer Interfaces
  • Face and Expression Recognition
  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Face recognition and analysis
  • Machine Learning and ELM

Zheng's publication record demonstrates engagement with several frequent venues, evidencing a research focus on affective computing, social systems, and information systems. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Computational Social Systems
  • IEICE Transactions on Information and Systems
  • Neurocomputing

Recent papers authored or coauthored by Wenming Zheng include:

  • A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition, 2022, IEEE Transactions on Affective Computing
  • SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals, 2021, IEEE Transactions on Affective Computing
  • Graph-Embedded Convolutional Neural Network for Image-Based EEG Emotion Recognition, 2021, IEEE Transactions on Emerging Topics in Computing
  • Variational Instance-Adaptive Graph for EEG Emotion Recognition, 2021, IEEE Transactions on Affective Computing

Zheng has collaborated frequently with several coauthors, including:

  • Yuan Zong
  • Cheng Lu
  • Peng Song
  • Chuangao Tang
  • Hailun Lian

Best Publications

  • EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

    Tengfei Song;Wenming Zheng;Peng Song;Zhen Cui

  • Spatial–Temporal Recurrent Neural Network for Emotion Recognition

    Tong Zhang;Wenming Zheng;Zhen Cui;Yuan Zong

  • Facial expression recognition using kernel canonical correlation analysis (KCCA)

    Wenming Zheng;Xiaoyan Zhou;Cairong Zou;Li Zhao

  • A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition

    Tong Zhang;Wenming Zheng;Zhen Cui;Yuan Zong

  • A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Yuan Zong;Zhen Cui

  • A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition

    Yang Li;Lei Wang;Wenming Zheng;Yuan Zong

  • Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Xiaopeng Hong;Wenming Zheng

  • MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition

    Tengfei Song;Wenming Zheng;Cheng Lu;Yuan Zong

  • Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis

    Wenming Zheng

  • From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Lei Wang;Yuan Zong

  • Fisher Discriminant Analysis With L1-Norm

    Haixian Wang;Xuesong Lu;Zilan Hu;Wenming Zheng

  • Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

    Chaolong Li;Zhen Cui;Wenming Zheng;Chunyan Xu

  • Gender classification based on boosting local binary pattern

    Ning Sun;Wenming Zheng;Changyin Sun;Cairong Zou

  • L1-Norm-Based Common Spatial Patterns

    Haixian Wang;Qin Tang;Wenming Zheng

  • Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression

    Wenming Zheng

  • DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild

    Xingxun Jiang;Yuan Zong;Wenming Zheng;Chuangao Tang

  • SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals

    Guanhua Zhang;Minjing Yu;Yong-Jin Liu;Guozhen Zhao

  • Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition

    Yuan Zong;Xiaohua Huang;Wenming Zheng;Zhen Cui

  • Locally nearest neighbor classifiers for pattern classification

    Wenming Zheng;Li Zhao;Cairong Zou

  • Multi-cue fusion for emotion recognition in the wild

    Jingwei Yan;Wenming Zheng;Zhen Cui;Chuangao Tang

  • A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition.

    Yang Li;Wenming Zheng;Zhen Cui;Tong Zhang

  • A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Lei Wang;Yuan Zong

  • Spontaneous facial micro-expressionanalysis using Spatiotemporal Complete Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Wenming Zheng;Matti Pietikainen

Frequent Co-Authors

Yuan Zong
Yuan Zong Northeastern University
Guoying Zhao
Guoying Zhao University of Oulu
Jian Yang
Jian Yang University of Birmingham
Zhouchen Lin
Zhouchen Lin Peking University
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Lei Wang
Lei Wang University of Wollongong
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Zhongze Gu
Zhongze Gu Southeast University

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