World's Best Scientists 2026 revealed!
Dawei Yin

Dawei Yin

D-Index & Metrics

Computer Science

D-Index
49
Citations
10251
World Ranking
5862
National Ranking
780

Dawei Yin 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 Dawei Yin 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Dawei Yin 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 Dawei Yin 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Dawei Yin is affiliated with Baidu in China and has a prolific research record spanning engineering and computer science. Their work bridges multiple interdisciplinary areas with a focus on both theoretical and applied studies.

Their main fields of study include:

  • Engineering
  • Computer Science

Subfields of research cover:

  • Artificial Intelligence
  • Mechanics of Materials
  • Civil and Structural Engineering
  • Computer Vision and Pattern Recognition
  • Ocean Engineering

Dawei Yin's research topics prominently involve:

  • Rock Mechanics and Modeling
  • Topic Modeling
  • Natural Language Processing Techniques
  • Geomechanics and Mining Engineering
  • Landslides and related hazards
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks

The scientist has frequently published in the following venues:

  • arXiv (Cornell University)
  • Sustainability
  • Journal of Materials Research and Technology
  • Advances in Civil Engineering
  • Journal of Central South University

Recent publications include:

  • "Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs," 2024, ACM SIGKDD Explorations Newsletter
  • "Effects of red mud additions on gangue-cemented paste backfill properties," 2020, Powder Technology
  • "Modeling study on the influence of the strip filling mining sequence on mining-induced failure," 2020, Energy Science & Engineering
  • "Numerical study on strength and failure characteristics of rock samples with different hole defects," 2020, Bulletin of Engineering Geology and the Environment
  • "Mechanical properties of rock-coal bi-material samples with different lithologies under uniaxial loading," 2020, Journal of Materials Research and Technology

The scientist collaborates regularly with a number of coauthors, including:

  • Shuaiqiang Wang
  • Shaojie Chen
  • Ning Jiang
  • Zhicong Cheng
  • Faxin Li

Best Publications

  • Graph Neural Networks for Social Recommendation

    Wenqi Fan;Yao Ma;Qing Li;Yuan He

  • A Survey on Dialogue Systems: Recent Advances and New Frontiers

    Hongshen Chen;Xiaorui Liu;Dawei Yin;Jiliang Tang

  • Detection of Harassment on Web 2.0

    Dawei Yin;Zhenzhen Xue;Liangjie Hong;Brian D. Davison

  • Deep reinforcement learning for page-wise recommendations

    Xiangyu Zhao;Long Xia;Liang Zhang;Zhuoye Ding

  • Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

    Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Long Xia

  • GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

    Qiang Huang;Makoto Yamada;Yuan Tian;Dinesh Singh

  • Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures

    Wenqiang Lei;Xisen Jin;Min-Yen Kan;Zhaochun Ren

  • Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

    Lixin Zou;Long Xia;Zhuoye Ding;Jiaxing Song

  • A Graph Neural Network Framework for Social Recommendations

    Wenqi Fan;Yao Ma;Qing Li;Jianping Wang

  • Streaming Graph Neural Networks

    Yao Ma;Ziyi Guo;Zhaocun Ren;Jiliang Tang

  • Knowledge Diffusion for Neural Dialogue Generation

    Shuman Liu;Hongshen Chen;Zhaochun Ren;Yang Feng

  • Streaming Recommender Systems

    Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

  • Ranking Relevance in Yahoo Search

    Dawei Yin;Yuening Hu;Jiliang Tang;Tim Daly

  • Micro Behaviors: A New Perspective in E-commerce Recommender Systems

    Meizi Zhou;Zhuoye Ding;Jiliang Tang;Dawei Yin

  • Deep Reinforcement Learning for List-wise Recommendations

    Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Dawei Yin

  • Neural Interactive Collaborative Filtering

    Lixin Zou;Long Xia;Yulong Gu;Xiangyu Zhao

  • Multi-dimensional graph convolutional networks

    Yao Ma;Suhang Wang;Charu C. Aggarwal;Dawei Yin

  • Normalizing microtext

    Zhenzhen Xue;Dawei Yin;Brian D. Davison

  • Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation

    Lixin Zou;Long Xia;Pan Du;Zhuo Zhang

  • Structural link analysis and prediction in microblogs

    Dawei Yin;Liangjie Hong;Brian D. Davison

  • Recommendation with social dimensions

    Jiliang Tang;Suhang Wang;Xia Hu;Dawei Yin

Frequent Co-Authors

Jiliang Tang
Jiliang Tang Michigan State University
Yi Chang
Yi Chang Jilin University
Zhaochun Ren
Zhaochun Ren Shandong University
Brian D. Davison
Brian D. Davison Lehigh University
Xiangnan He
Xiangnan He University of Science and Technology of China
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Qing Li
Qing Li Hong Kong Polytechnic University
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Suhang Wang
Suhang Wang Pennsylvania State University
Jianping Wang
Jianping Wang City University of Hong Kong

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