World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
110
Citations
143721
World Ranking
220
National Ranking
122

Quoc V. Le 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 Quoc V. Le 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Quoc V. Le 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 Quoc V. Le sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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.

Overview

Quoc V. Le is affiliated with Google in the United States. Their main field of study is Computer Science, with a strong focus on Artificial Intelligence. The scientist's research extensively covers several subfields including Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems, and Signal Processing.

Their research work spans a range of topics such as Topic Modeling, Natural Language Processing Techniques, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Machine Learning and Data Classification, and Speech Recognition and Synthesis.

Quoc V. Le has published numerous papers in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Nature
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • International Journal of Mechatronics and Applied Mechanics
  • Dagstuhl Research Online Publication Server

Notable recent papers authored or co-authored by Quoc V. Le are:

  • "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models" (2022, arXiv)
  • "Xlnet: Generalized Autoregressive Pretraining for Language Understanding" (2025, arXiv)
  • "Question Answering For Toxicological Information Extraction" (2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl))
  • "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" (2021, arXiv)
  • "Scaling Instruction-Finetuned Language Models" (2022, arXiv)

Quoc V. Le frequently collaborates with other researchers in their field. Some of these frequent coauthors are:

  • Denny Zhou
  • Mingxing Tan
  • Hanxiao Liu
  • Ed H.
  • Adams Wei Yu

Best Publications

  • Sequence to Sequence Learning with Neural Networks

    Ilya Sutskever;Oriol Vinyals;Quoc V. Le

  • Distributed Representations of Sentences and Documents

    Quoc Le;Tomas Mikolov

  • Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

    Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le

  • XLNet: Generalized Autoregressive Pretraining for Language Understanding

    Zhilin Yang;Zihang Dai;Yiming Yang;Jaime G. Carbonell

  • Learning Transferable Architectures for Scalable Image Recognition

    Barret Zoph;Vijay Vasudevan;Jonathon Shlens;Quoc V. Le

  • Neural Architecture Search with Reinforcement Learning

    Barret Zoph;Quoc V. Le

  • Large Scale Distributed Deep Networks

    Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen

  • Transformer-XL: Attentive Language Models beyond a Fixed-Length Context.

    Zihang Dai;Zhilin Yang;Yiming Yang;Jaime G. Carbonell

  • SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

    Daniel S. Park;William Chan;Yu Zhang;Chung-Cheng Chiu

  • Building high-level features using large scale unsupervised learning

    Quoc V. Le

  • Regularized Evolution for Image Classifier Architecture Search

    Esteban Real;Alok Aggarwal;Yanping Huang;Quoc V. Le

  • Building high-level features using large scale unsupervised learning

    Marc'aurelio Ranzato;Rajat Monga;Matthieu Devin;Kai Chen

  • AutoAugment: Learning Augmentation Strategies From Data

    Ekin D. Cubuk;Barret Zoph;Dandelion Mane;Vijay Vasudevan

  • Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

    William Chan;Navdeep Jaitly;Quoc Le;Oriol Vinyals

  • Self-Training With Noisy Student Improves ImageNet Classification

    Qizhe Xie;Minh-Thang Luong;Eduard Hovy;Quoc V. Le

  • Scalable and accurate deep learning with electronic health records

    Alvin Rajkomar;Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • Scalable and accurate deep learning for electronic health records

    Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • A Neural Conversational Model

    Oriol Vinyals;Quoc V. Le

  • Exploiting Similarities among Languages for Machine Translation

    Tomas Mikolov;Quoc V. Le;Ilya Sutskever

  • Efficient Neural Architecture Search via Parameters Sharing

    Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le

  • Natural Questions: A Benchmark for Question Answering Research

    Tom Kwiatkowski;Jennimaria Palomaki;Olivia Redfield;Michael Collins

  • Searching for Activation Functions

    Prajit Ramachandran;Barret Zoph;Quoc V. Le

  • Efficient Neural Architecture Search via Parameter Sharing

    Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le

Frequent Co-Authors

Barret Zoph
Barret Zoph Google (United States)
Jeffrey Dean
Jeffrey Dean Google (United States)
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Andrew Y. Ng
Andrew Y. Ng Stanford University
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Samy Bengio
Samy Bengio Apple (United States)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Greg Corrado
Greg Corrado Google (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science opens the door to diverse and rewarding careers, but it also connects closely with other technical fields. Many students interested in technology also consider high-paying jobs with environmental science degree backgrounds, which can lead to roles in sustainability, policy, and research.

For those seeking a flexible approach, a 2-year computer science degree online offers accelerated pathways to start a tech career quickly—perfect for career changers or those eager to enter the workforce sooner.

Students who are passionate about engineering can find related opportunities through environmental engineering schools online, which blend technology with environmental stewardship, or by researching mechanical engineering degree cost to find affordable options in mechanical design and innovation.

These interdisciplinary degree paths not only broaden your technical expertise but can also significantly increase your career options both in the USA and internationally.

Best Scientists Citing Quoc V. Le

Trending Scientists

Recently Published Articles