World's Best Scientists 2026 revealed!
Peilin Zhao

Peilin Zhao

D-Index & Metrics

Computer Science

D-Index
59
Citations
13773
World Ranking
3428
National Ranking
460

Peilin Zhao 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 Peilin Zhao 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Peilin Zhao 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 Peilin Zhao 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Peilin Zhao is affiliated with Tencent in China and has contributed extensively to the field of computer science, with a significant focus on artificial intelligence and related subfields. Their work has included research on advanced graph neural networks, domain adaptation, and machine learning applications within materials science and molecular biology.

Zhao's publication record spans a variety of prominent venues, with a notable presence in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neurocomputing
  • IEEE Transactions on Knowledge and Data Engineering
  • SSRN Electronic Journal

Their contributions cover multiple topics including:

  • Computational Drug Discovery Methods
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning in Materials Science
  • Anomaly Detection Techniques and Applications
  • Protein Structure and Dynamics
  • Complex Network Analysis Techniques

Peilin Zhao's recent notable publications include:

  • "Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Online learning: A comprehensive survey" (2021), Neurocomputing
  • "FedML: A Research Library and Benchmark for Federated Machine Learning" (2020), arXiv (Cornell University)
  • "Mastering Complex Control in MOBA Games with Deep Reinforcement Learning" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis" (2020), IEEE Transactions on Image Processing

Throughout their career, Zhao has frequently collaborated with other researchers, including:

  • Junzhou Huang
  • Mingkui Tan
  • Yu Rong
  • Yatao Bian
  • Tingyang Xu

Their work is positioned mainly within computer science with more than 225 publications, many of which delve into artificial intelligence and computer vision alongside interdisciplinary topics such as molecular biology and computational theory.

This body of research reflects contributions across both theoretical and applied domains, addressing challenges such as scalable learning algorithms, adaptive domain techniques, and computational methods applied to biological data and material science problems.

Best Publications

  • Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

    Giduthuri Sateesh Babu;Peilin Zhao;Xiao-Li Li

  • Online learning: A comprehensive survey

    Steven C.H. Hoi;Steven C.H. Hoi;Doyen Sahoo;Jing Lu;Peilin Zhao

  • Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

    Tian Bian;Xi Xiao;Tingyang Xu;Peilin Zhao

  • Local features are not lonely – Laplacian sparse coding for image classification

    Shenghua Gao;Ivor Wai-Hung Tsang;Liang-Tien Chia;Peilin Zhao

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Chuang Gan;Mingkui Tan

  • FedML: A Research Library and Benchmark for Federated Machine Learning

    Chaoyang He;Songze Li;Jinhyun So;Mi Zhang

  • Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

    Yong Liu;Yong Liu;Min Wu;Chunyan Miao;Peilin Zhao

  • Stochastic Optimization with Importance Sampling for Regularized Loss Minimization

    Peilin Zhao;Peilin Zhao;Peilin Zhao;Tong Zhang;Tong Zhang

  • Online Feature Selection and Its Applications

    Jialei Wang;Peilin Zhao;Steven C. H. Hoi;Rong Jin

  • Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

    Ali Ezzat;Peilin Zhao;Min Wu;Xiao-Li Li

  • Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

    Deheng Ye;Zhao Liu;Mingfei Sun;Bei Shi

  • LIBOL: a library for online learning algorithms

    Steven C. H. Hoi;Jialei Wang;Peilin Zhao

  • PAMR: Passive aggressive mean reversion strategy for portfolio selection

    Bin Li;Peilin Zhao;Steven C. Hoi;Vivekanand Gopalkrishnan

  • Online AUC Maximization

    Peilin Zhao;Rong Jin;Tianbao Yang;Steven C. Hoi

  • Online multimodal deep similarity learning with application to image retrieval

    Pengcheng Wu;Steven C.H. Hoi;Hao Xia;Peilin Zhao

  • Online ARIMA algorithms for time series prediction

    Chenghao Liu;Steven C. H. Hoi;Peilin Zhao;Jianling Sun

  • Hierarchical graph learning for protein–protein interaction

    Unknown

  • Online Transfer Learning

    Peilin Zhao;Steven C.H. Hoi;Jialei Wang;Bin Li

  • Large scale online kernel learning

    Jing Lu;Steven C. H. Hoi;Jialei Wang;Peilin Zhao

  • Exact Soft Confidence-Weighted Learning

    Jialei Wang;Peilin Zhao;Steven C. Hoi

  • Stochastic Optimization with Importance Sampling.

    Peilin Zhao;Tong Zhang

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Mingkui Tan;Yu Rong

Frequent Co-Authors

Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Mingkui Tan
Mingkui Tan South China University of Technology
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Chunyan Miao
Chunyan Miao Nanyang Technological University
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Rong Jin
Rong Jin Alibaba Group (China)
Xin Gao
Xin Gao King Abdullah University of Science and Technology
Wenbing Huang
Wenbing Huang Renmin University of China
Chaochao Chen
Chaochao Chen Zhejiang University

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