World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
8585
World Ranking
12886
National Ranking
5199

Lei Tang 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 Lei Tang 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: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Lei Tang 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 Lei Tang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Lei Tang is affiliated with the Association for Computing Machinery in the United States. Their research spans primarily the fields of Engineering and Computer Science, with notable contributions to multiple subfields including Computer Vision and Pattern Recognition, Materials Chemistry, Artificial Intelligence, Electrical and Electronic Engineering, and Automotive Engineering.

The scientist's main research topics encompass Advanced Neural Network Applications, Transportation and Mobility Innovations, Advanced Image Processing Techniques, 2D Materials and Applications, MXene and MAX Phase Materials, Human Mobility and Location-Based Analysis, and Image Enhancement Techniques.

Lei Tang has published work in several frequent venues, including:

  • Nature Methods
  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • arXiv (Cornell University)
  • Neurocomputing

Recent notable papers by Lei Tang include:

  • p-Type Two-Dimensional Semiconductors: From Materials Preparation to Electronic Applications, 2023, Nano-Micro Letters
  • Attention adjacency matrix based graph convolutional networks for skeleton-based action recognition, 2021, Neurocomputing
  • A NIR-II light-modulated injectable self-healing hydrogel for synergistic photothermal/chemodynamic/chemo-therapy of melanoma and wound healing promotion, 2022, Journal of Materials Chemistry B
  • RETRACTED: Sports image detection based on particle swarm optimization algorithm, 2020, Microprocessors and Microsystems
  • Learning noise-decoupled affine models for extreme low-light image enhancement, 2021, Neurocomputing

Frequent collaborators include Hangzai Luo, Zongtao Duan, Jinye Peng, Sheng Zhong, and Junchi Ma. These coauthors have worked with Lei Tang on numerous publications, reflecting ongoing research partnerships.

Best Publications

  • Cross-Validation

    Unknown

  • Relational learning via latent social dimensions

    Lei Tang;Huan Liu

  • Identifying the influential bloggers in a community

    Nitin Agarwal;Huan Liu;Lei Tang;Philip S. Yu

  • Community Detection and Mining in Social Media

    Lei Tang;Huan Liu

  • Exploiting social relations for sentiment analysis in microblogging

    Xia Hu;Lei Tang;Jiliang Tang;Huan Liu

  • Leveraging social media networks for classification

    Lei Tang;Huan Liu

  • Community evolution in dynamic multi-mode networks

    Lei Tang;Huan Liu;Jianping Zhang;Zohreh Nazeri

  • Scalable learning of collective behavior based on sparse social dimensions

    Lei Tang;Huan Liu

  • Large scale multi-label classification via metalabeler

    Lei Tang;Suju Rajan;Vijay K. Narayanan

  • Community detection via heterogeneous interaction analysis

    Lei Tang;Xufei Wang;Huan Liu

  • Extracting shared subspace for multi-label classification

    Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

  • Uncoverning Groups via Heterogeneous Interaction Analysis

    Lei Tang;Xufei Wang;Huan Liu

  • Discovering Overlapping Groups in Social Media

    Xufei Wang;Lei Tang;Huiji Gao;Huan Liu

  • A shared-subspace learning framework for multi-label classification

    Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

  • A convex formulation for learning shared structures from multiple tasks

    Jianhui Chen;Lei Tang;Jun Liu;Jieping Ye

  • GRAPH MINING APPLICATIONS TO SOCIAL NETWORK ANALYSIS

    Lei Tang;Huan Liu

  • What is Tumblr: a statistical overview and comparison

    Yi Chang;Lei Tang;Yoshiyuki Inagaki;Yan Liu

  • Identifying Evolving Groups in Dynamic Multimode Networks

    Lei Tang;Huan Liu;Jianping Zhang

  • Bundle recommendation in ecommerce

    Tao Zhu;Patrick Harrington;Junjun Li;Lei Tang

  • Toward Predicting Collective Behavior via Social Dimension Extraction

    Lei Tang;Huan Liu

  • Topic taxonomy adaptation for group profiling

    Lei Tang;Huan Liu;Jianping Zhang;Nitin Agarwal

Frequent Co-Authors

Huan Liu
Huan Liu Arizona State University
Jieping Ye
Jieping Ye Alibaba Group (China)
Xia Hu
Xia Hu Rice University
Jun Liu
Jun Liu Infinia ML (United States)
Yi Chang
Yi Chang Jilin University
Shipeng Yu
Shipeng Yu Pinterest
Shuiwang Ji
Shuiwang Ji Texas A&M University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Lei Wang
Lei Wang University of Wollongong
Jiliang Tang
Jiliang Tang Michigan State University

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