World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
15309
World Ranking
3222
National Ranking
431

Yang Liu 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 Yang Liu 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: 316 publications — 77th percentile

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

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

Yang Liu 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 Yang Liu 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Yang Liu is affiliated with Tsinghua University in China, focusing primarily on Computer Science. Their research spans several subfields, notably Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Ecology, and Cognitive Neuroscience.

The scientist's work covers a range of topics within these fields, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Remote Sensing in Agriculture
  • Speech Recognition and Synthesis
  • Text and Document Classification Technologies
  • Text Readability and Simplification

Yang Liu has contributed to various research publications, including articles and books. Notable recent papers include:

  • "A model suitable for estimating above-ground biomass of potatoes at different regional levels," 2024, Computers and Electronics in Agriculture
  • "Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield," 2025, Computers and Electronics in Agriculture
  • "Neural machine translation: A review of methods, resources, and tools," 2020, AI Open
  • "Sparse Sinkhorn Attention," 2020, arXiv (Cornell University)
  • "Enriching the transfer learning with pre-trained lexicon embedding for low-resource neural machine translation," 2021, Tsinghua Science & Technology

Yang Liu has also contributed to book publications, including:

  • "Chinese Computational Linguistics," 2022, published by Springer Science+Business Media

Frequent coauthors collaborating with Yang Liu include:

  • Maosong Sun
  • Zhixing Tan
  • Shuo Wang
  • Zonghan Yang
  • Yiguang Fan

The scientist's research output appears regularly in a variety of venues, with multiple publications in:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Computers and Electronics in Agriculture
  • AI Open
  • Nature Biomedical Engineering

Yang Liu's contributions predominantly focus on advancing methodologies and applications in artificial intelligence and its intersection with agriculture through the use of remote sensing techniques. Their work integrates technological approaches to tackle challenges within natural language processing, machine learning, and environmental monitoring.

Best Publications

  • Parameter-efficient Fine-tuning of Large-scale Pre-trained Language Models

    Unknown

  • Pre-Trained Models: Past, Present and Future

    Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

  • Modeling Coverage for Neural Machine Translation

    Zhaopeng Tu;Zhengdong Lu;Yang Liu;Xiaohua Liu

  • Tree-to-String Alignment Template for Statistical Machine Translation

    Yang Liu;Qun Liu;Shouxun Lin

  • Deep Learning in Natural Language Processing

    Li Deng;Yang Liu

  • Minimum Risk Training for Neural Machine Translation

    Shiqi Shen;Yong Cheng;Zhongjun He;Wei He

  • Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

    Unknown

  • Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

    Unknown

  • Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

    Unknown

  • Environmental Epidemiology, Volume 1: Public Health and Hazardous Wastes

    Unknown

  • Adversarial Training for Unsupervised Bilingual Lexicon Induction

    Meng Zhang;Yang Liu;Huanbo Luan;Maosong Sun

  • Improving the Transformer Translation Model with Document-Level Context.

    Jiacheng Zhang;Huanbo Luan;Maosong Sun;Feifei Zhai

  • Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

    Unknown

  • Crystal Structure Prediction by Joint Equivariant Diffusion

    Unknown

  • Semi-Supervised Learning for Neural Machine Translation

    Yong Cheng;Wei Xu;Zhongjun He;Wei He

  • Self-Knowledge Guided Retrieval Augmentation for Large Language Models

    Unknown

  • Neural Machine Translation with Reconstruction.

    Zhaopeng Tu;Yang Liu;Lifeng Shang;Xiaohua Liu

  • Visualizing and Understanding Neural Machine Translation

    Yanzhuo Ding;Yang Liu;Huanbo Luan;Maosong Sun

  • Learning to Remember Translation History with a Continuous Cache

    Zhaopeng Tu;Yang Liu;Shuming Shi;Tong Zhang

  • Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction

    Unknown

  • Towards Robust Neural Machine Translation

    Yong Cheng;Zhaopeng Tu;Fandong Meng;Junjie Zhai

  • A Teacher-Student Framework for Zero-Resource Neural Machine Translation

    Yun Chen;Yang Liu;Yong Cheng;Victor O.K. Li

  • Log-Linear Models for Word Alignment

    Yang Liu;Qun Liu;Shouxun Lin

  • Task-oriented sensing, computation, and communication integration for multi-device edge AI

    Unknown

  • THUMT: An Open Source Toolkit for Neural Machine Translation

    Jiacheng Zhang;Yanzhuo Ding;Shiqi Shen;Yong Cheng

  • Context Gates for Neural Machine Translation

    Zhaopeng Tu;Yang Liu;Zhengdong Lu;Xiaohua Liu

  • Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

    Unknown

  • OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

    Unknown

Frequent Co-Authors

Maosong Sun
Maosong Sun Tsinghua University
Qun Liu
Qun Liu Huawei Technologies (China)
Jinsong Su
Jinsong Su Xiamen University
Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Deyi Xiong
Deyi Xiong Tianjin University
Peng Li
Peng Li University of California, Santa Barbara
Jun Zhao
Jun Zhao Chinese Academy of Sciences
Hua Wu
Hua Wu Baidu (China)
Kang Liu
Kang Liu Chinese Academy of Sciences
Shuming Shi
Shuming Shi Tencent (China)

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