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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
94
Citations
41155
World Ranking
479
National Ranking
64

Maosong Sun 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 Maosong Sun 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: 501 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Maosong Sun 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 Maosong Sun 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: 94 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2020 - Member of Academia Europaea

Overview

Maosong Sun is affiliated with Tsinghua University in China and has an extensive publication record in computer science, with a focus on artificial intelligence and related subfields. Their body of research includes significant contributions to natural language processing, graph neural networks, and multimodal machine learning applications.

Among their recent papers are:

  • Graph neural networks: A review of methods and applications (2020, AI Open)
  • Parameter-efficient fine-tuning of large-scale pre-trained language models (2023, Nature Machine Intelligence)
  • PTR: Prompt Tuning with Rules for Text Classification (2022, AI Open)
  • Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics [Volume 1: Long Papers])
  • Lawformer: A pre-trained language model for Chinese legal long documents (2021, AI Open)

Their frequent coauthors include:

  • Zhiyuan Liu
  • Yankai Lin
  • Zhengyan Zhang
  • Chaojun Xiao
  • Fanchao Qi

Maosong Sun's work is published in a range of venues, with the most frequent being:

  • arXiv (Cornell University)
  • AI Open
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

They have contributed to book publications as well, including titles released by:

  • Springer Science+Business Media, with books titled Chinese Computational Linguistics (2020 and 2022)
  • Morgan & Claypool Publishers, with books titled Network Embedding and Network Embedding: Theories, Methods, and Applications (both 2021)

Their main field of study is computer science, with a substantial number of publications in artificial intelligence. Subfields of their research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems
  • Statistical and Nonlinear Physics

Key research topics covered in Maosong Sun's work are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Advanced Graph Neural Networks
  • Music and Audio Processing
  • Music Technology and Sound Studies

Maosong Sun was recognized as a Member of Academia Europaea in 2020.

Best Publications

  • Graph Neural Networks: A Review of Methods and Applications

    Jie Zhou;Ganqu Cui;Shengding Hu;Zhengyan Zhang

  • Learning entity and relation embeddings for knowledge graph completion

    Yankai Lin;Zhiyuan Liu;Maosong Sun;Yang Liu

  • ERNIE: Enhanced Language Representation with Informative Entities

    Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang

  • Neural Relation Extraction with Selective Attention over Instances

    Yankai Lin;Shiqi Shen;Zhiyuan Liu;Huanbo Luan

  • Network representation learning with rich text information

    Cheng Yang;Zhiyuan Liu;Deli Zhao;Maosong Sun

  • Parameter-efficient fine-tuning of large-scale pre-trained language models

    Unknown

  • Representation learning of knowledge graphs with entity descriptions

    Ruobing Xie;Zhiyuan Liu;Jia Jia;Huanbo Luan

  • PTR: Prompt Tuning with Rules for Text Classification

    Unknown

  • Modeling Relation Paths for Representation Learning of Knowledge Bases

    Yankai Lin;Zhiyuan Liu;Huanbo Luan;Maosong Sun

  • FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.

    Xu Han;Hao Zhu;Pengfei Yu;Ziyun Wang

  • Topical word embeddings

    Yang Liu;Zhiyuan Liu;Tat-Seng Chua;Maosong Sun

  • DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

    Yuan Yao;Deming Ye;Peng Li;Xu Han

  • Word-level Textual Adversarial Attacking as Combinatorial Optimization

    Yuan Zang;Fanchao Qi;Chenghao Yang;Zhiyuan Liu

  • Minimum Risk Training for Neural Machine Translation

    Shiqi Shen;Yong Cheng;Zhongjun He;Wei He

  • Automatic Keyphrase Extraction via Topic Decomposition

    Zhiyuan Liu;Wenyi Huang;Yabin Zheng;Maosong Sun

  • A Unified Model for Word Sense Representation and Disambiguation

    Xinxiong Chen;Zhiyuan Liu;Maosong Sun

  • Clustering to Find Exemplar Terms for Keyphrase Extraction

    Zhiyuan Liu;Peng Li;Yabin Zheng;Maosong Sun

  • Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

    Tianyu Gao;Xu Han;Zhiyuan Liu;Maosong Sun

  • Neural Sentiment Classification with User and Product Attention

    Huimin Chen;Maosong Sun;Cunchao Tu;Yankai Lin

  • OpenKE: An Open Toolkit for Knowledge Embedding

    Xu Han;Shulin Cao;Xin Lv;Yankai Lin

  • Iterative entity alignment via joint knowledge embeddings

    Hao Zhu;Ruobing Xie;Zhiyuan Liu;Maosong Sun

  • Joint learning of character and word embeddings

    Xinxiong Chen;Lei Xu;Zhiyuan Liu;Maosong Sun

Frequent Co-Authors

Zhiyuan Liu
Zhiyuan Liu Tsinghua University
Yang Liu
Yang Liu Tsinghua University
Xu Han
Xu Han Tsinghua University
Yankai Lin
Yankai Lin Tencent (China)
Ruobing Xie
Ruobing Xie Tencent (China)
Qun Liu
Qun Liu Huawei Technologies (China)
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Hua Wu
Hua Wu Baidu (China)
Juanzi Li
Juanzi Li Tsinghua University
Jian Tang
Jian Tang Syracuse University

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