World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
11911
World Ranking
4808
National Ranking
643

Shiliang Sun 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 Shiliang Sun 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Shiliang Sun 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 Shiliang Sun 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Shiliang Sun is affiliated with East China Normal University in China, contributing extensively to the field of computer science. Their research spans a broad range of topics within artificial intelligence, computer vision, and signal processing.

The primary fields of study associated with Shiliang Sun include:

  • Computer Science

The main subfields of study in which they have published are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Control and Systems Engineering
  • Media Technology

Key research topics covered by their work include:

  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Face and Expression Recognition
  • Adversarial Robustness in Machine Learning
  • Gaussian Processes and Bayesian Inference
  • Text and Document Classification Technologies
  • Advanced Neural Network Applications

Shiliang Sun has contributed to several recent papers in well-regarded venues. Notable publications include:

  • "A Survey on Multiview Clustering," 2021, IEEE Transactions on Artificial Intelligence
  • "MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection," 2022, Information Fusion
  • "Incomplete multi-view clustering with cosine similarity," 2021, Pattern Recognition
  • "TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning," 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Multi-View Representation Learning With Deep Gaussian Processes," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

The frequent co-authors collaborating with Shiliang Sun include:

  • Jing Zhao
  • Jun Yin
  • Nan Zhang
  • Daoming Zong
  • Wenbo Dong

They have published repeatedly in several scientific venues known for contributions in AI and machine learning, including:

  • Information Fusion
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering

Best Publications

  • Multi-view learning overview

    Jing Zhao;Xijiong Xie;Xin Xu;Shiliang Sun

  • A survey of multi-view machine learning

    Shiliang Sun

  • A bayesian network approach to traffic flow forecasting

    Shiliang Sun;Changshui Zhang;Guoqiang Yu

  • A Survey of Optimization Methods From a Machine Learning Perspective

    Shiliang Sun;Zehui Cao;Han Zhu;Jing Zhao

  • A review of natural language processing techniques for opinion mining systems

    Shiliang Sun;Chen Luo;Junyu Chen

  • A survey of multi-source domain adaptation

    Shiliang Sun;Honglei Shi;Yuanbin Wu

  • A review of optimization methodologies in support vector machines

    John Shawe-Taylor;Shiliang Sun

  • An adaptive k-nearest neighbor algorithm

    Shiliang Sun;Rongqing Huang

  • Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction

    Shiliang Sun;Xin Xu

  • An experimental evaluation of ensemble methods for EEG signal classification

    Shiliang Sun;Changshui Zhang;Dan Zhang

  • Multiview Uncorrelated Discriminant Analysis

    Shiliang Sun;Xijiong Xie;Mo Yang

  • Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks

    Shiliang Sun;Rongqing Huang;Ya Gao

  • A Survey on Multi-View Clustering

    Guoqing Chao;Shiliang Sun;Jinbo Bi

  • Adaptive feature extraction for EEG signal classification.

    Shiliang Sun;Changshui Zhang

  • A subject transfer framework for EEG classification

    Wenting Tu;Shiliang Sun

  • Multi-view laplacian support vector machines

    Shiliang Sun

  • Consensus and complementarity based maximum entropy discrimination for multi-view classification

    Guoqing Chao;Shiliang Sun

  • Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

    Changzhi Sun;Yeyun Gong;Yuanbin Wu;Ming Gong

  • PAC-bayes bounds with data dependent priors

    Emilio Parrado-Hernández;Amiran Ambroladze;John Shawe-Taylor;Shiliang Sun

  • Sparse Semi-supervised Learning Using Conjugate Functions

    Shiliang Sun;John Shawe-Taylor

  • Multitask learning for EEG-based biometrics

    Shiliang Sun

  • Multitask twin support vector machines

    Xijiong Xie;Shiliang Sun

Frequent Co-Authors

Changshui Zhang
Changshui Zhang Tsinghua University
John Shawe-Taylor
John Shawe-Taylor University College London
Xiao Liu
Xiao Liu Deakin University
Qi Zhang
Qi Zhang Fudan University
John Paisley
John Paisley Columbia University
Csaba Szepesvári
Csaba Szepesvári University of Alberta
Daxin Jiang
Daxin Jiang Microsoft (United States)
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Simon X. Yang
Simon X. Yang University of Guelph
Haibo He
Haibo He University of Rhode Island

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