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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
110
Citations
81590
World Ranking
221
National Ranking
123

Li Deng 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 Li Deng 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: 612 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Li Deng 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 Li Deng 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: 110 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2005 - IEEE Fellow For contributions to statistical acoustic-phonetic methods for speech processing.
  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Li Deng is affiliated with Citadel in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research output includes over fifty publications primarily within the domain of computer science, with additional work spanning subfields such as artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, biomedical engineering, as well as sociology and political science.

The main topics addressed in Li Deng's research encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Metaheuristic Optimization Algorithms Research
  • Imbalanced Data Classification Techniques
  • Electricity Theft Detection Techniques
  • Evolutionary Algorithms and Applications
  • Face and Expression Recognition

Li Deng's publication venues show a preference for high-impact forums, including:

  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Expert Systems with Applications
  • Electronic Research Archive
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their recent notable papers include:

  • "Rule Learning over Knowledge Graphs: A Review" (2023), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Analysis of Points of Interests Recommended for Leisure Walk Descriptions" (2025), published in arXiv (Cornell University)
  • "Multimodal Intelligence: Representation Learning, Information Fusion, and Applications" (2020), published in the IEEE Journal of Selected Topics in Signal Processing
  • "Harnessing the power of artificial intelligence to transform hearing healthcare and research" (2021), published in Nature Machine Intelligence
  • "Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation" (2024), published in Mathematics

Collaborations are evident in Li Deng's work, with frequent co-authorship involving researchers such as Bo Wei, Ying Zhang, Jin Xiao, Shanshan Yang, and Yanrong Huang. These collaborations highlight a network of peers contributing to overlapping or complementary research topics.

Li Deng has been recognized through several professional distinctions, including being named an IEEE Fellow in 2005 for contributions to statistical acoustic-phonetic methods for speech processing and a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

    Li Deng

  • Deep Learning: Methods and Applications

    Li Deng;Dong Yu

  • Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

    G. E. Dahl;Dong Yu;Li Deng;A. Acero

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Stacked Attention Networks for Image Question Answering

    Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • New types of deep neural network learning for speech recognition and related applications: an overview

    Li Deng;Geoffrey Hinton;Brian Kingsbury

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

    Payal Bajaj;Daniel Campos;Nick Craswell;Li Deng

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • A tutorial survey of architectures, algorithms, and applications for deep learning

    Li Deng

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research

    Li Deng

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

    Tri Nguyen;Mir Rosenberg;Xia Song;Jianfeng Gao

  • Learning semantic representations using convolutional neural networks for web search

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

    Jui-Ting Huang;Jinyu Li;Dong Yu;Li Deng

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

Frequent Co-Authors

Dong Yu
Dong Yu Tencent (China)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Yifan Gong
Yifan Gong Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Lihong Li
Lihong Li Amazon (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Frank Seide
Frank Seide Microsoft (United States)

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