World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
17213
World Ranking
1796
National Ranking
250

Yue Zhang 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 Yue Zhang 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: 305 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Yue Zhang 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 Yue Zhang 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Yue Zhang is affiliated with Westlake University in China and has a substantial body of research within computer science, particularly in artificial intelligence. Their work encompasses a wide range of subfields including computer vision and pattern recognition, molecular biology, electrical and electronic engineering, and management science and operations research.

Their research has concentrated on several main topics:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining

Yue Zhang has contributed numerous publications to prominent venues, including:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • ACM Transactions on Asian and Low-Resource Language Information Processing

Some recent representative papers authored by or closely associated with Yue Zhang include:

  • "A Survey on Evaluation of Large Language Models" (2024), ACM Transactions on Intelligent Systems and Technology
  • "Latent Emotion Memory for Multi-Label Emotion Classification" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Evaluating Commonsense in Pre-Trained Language Models" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs" (2020), arXiv (Cornell University)
  • "Topic-Enhanced Capsule Network for Multi-Label Emotion Classification" (2020), IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent collaborators in Yue Zhang's research include:

  • Zhiyang Teng
  • Leyang Cui
  • Yafu Li
  • Yulong Chen
  • Guangsheng Bao

In addition to journal and conference papers, Yue Zhang has contributed to book publications, with works published through Cambridge University Press and Springer Science+Business Media. Notable books include "Natural Language Processing" (2020) and "Chinese Computational Linguistics" (2020).

Best Publications

  • Chinese NER Using Lattice LSTM

    Yue Zhang;Jie Yang

  • Deep learning for event-driven stock prediction

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • Transition-based Dependency Parsing with Rich Non-local Features

    Yue Zhang;Joakim Nivre

  • A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing

    Yue Zhang;Stephen Clark

  • Target-dependent twitter sentiment classification with rich automatic features

    Duy-Tin Vo;Yue Zhang

  • The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language

    Björn W. Schuller;Björn W. Schuller;Stefan Steidl;Anton Batliner;Anton Batliner;Julia Hirschberg

  • Template-Based Named Entity Recognition Using BART

    Leyang Cui;Yu Wu;Jian Liu;Sen Yang

  • Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • Gated neural networks for targeted sentiment analysis

    Meishan Zhang;Yue Zhang;Duy-Tin Vo

  • Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring

    Fei Dong;Yue Zhang;Jie Yang

  • Syntactic processing using the generalized perceptron and beam search

    Yue Zhang;Stephen Clark

  • A tale of two parsers: investigating and combining graph-based and transition-based dependency parsing using beam-search

    Yue Zhang;Stephen Clark

  • A Graph-to-Sequence Model for AMR-to-Text Generation

    Linfeng Song;Yue Zhang;Zhiguo Wang;Daniel Gildea

  • Sentence-State LSTM for Text Representation

    Yue Zhang;Qi Liu;Linfeng Song

  • Fast and Accurate Shift-Reduce Constituent Parsing

    Muhua Zhu;Yue Zhang;Wenliang Chen;Min Zhang

  • Attention Modeling for Targeted Sentiment.

    Jiangming Liu;Yue Zhang

  • NCRF++: An Open-source Neural Sequence Labeling Toolkit

    Jie Yang;Yue Zhang

  • Neural Networks for Open Domain Targeted Sentiment

    Meishan Zhang;Yue Zhang;Duy Tin Vo

  • Automatic Features for Essay Scoring – An Empirical Study

    Fei Dong;Yue Zhang

  • End-to-End Neural Relation Extraction with Global Optimization

    Meishan Zhang;Yue Zhang;Guohong Fu

  • N-ary Relation Extraction using Graph-State LSTM

    Linfeng Song;Yue Zhang;Zhiguo Wang;Daniel Gildea

  • DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

    Yulong Chen;Yang Liu;Liang Chen;Yue Zhang

Frequent Co-Authors

Meishan Zhang
Meishan Zhang Harbin Institute of Technology
Daniel Gildea
Daniel Gildea University of Rochester
Donghong Ji
Donghong Ji Wuhan University
Ting Liu
Ting Liu Harbin Institute of Technology
Wanxiang Che
Wanxiang Che Harbin Institute of Technology
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Mo Yu
Mo Yu IBM (United States)
Jinsong Su
Jinsong Su Xiamen University
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications

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