World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12223
World Ranking
4543
National Ranking
604

Yangqiu Song 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 Yangqiu Song 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: 260 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Yangqiu Song 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 Yangqiu Song 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Yangqiu Song is affiliated with the Hong Kong University of Science and Technology in China. Their primary field of study is Computer Science, with a strong focus on Artificial Intelligence. Research subfields include Computer Vision and Pattern Recognition, Management Science and Operations Research, Statistical and Nonlinear Physics, and Information Systems.

The scientist's work covers several main research topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Semantic Web and Ontologies
  • Complex Network Analysis Techniques
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques

Yangqiu Song has published extensively, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Knowledge Discovery from Data
  • Frontiers of Computer Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Artificial Intelligence

Recent papers illustrate the scope and themes of research exploration:

  • "Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks" (2021), ACM Transactions on Knowledge Discovery from Data
  • "Event detection and evolution in multi-lingual social streams" (2020), Frontiers of Computer Science
  • "ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations" (2023), arXiv (Cornell University)
  • "Fair Representation Learning for Heterogeneous Information Networks" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching" (2022), Proceedings of the AAAI Conference on Artificial Intelligence

Yangqiu Song frequently collaborates with a group of coauthors, including:

  • Tianqing Fang
  • Weiqi Wang
  • Hongming Zhang
  • Jiaxin Bai
  • Chunkit Chan

The scientist's research touches on multiple aspects of artificial intelligence, particularly focusing on the development and application of novel machine learning techniques to complex data structures such as heterogeneous information networks and social streams. Their contributions include work on graph neural networks, semantic web technologies, and large-scale event detection in multi-lingual contexts.

Best Publications

  • Parallel Spectral Clustering in Distributed Systems

    Wen-Yen Chen;Yangqiu Song;Hongjie Bai;Chih-Jen Lin

  • Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

    Huan Zhao;Quanming Yao;Jianda Li;Yangqiu Song

  • TextFlow: Towards Better Understanding of Evolving Topics in Text

    Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi

  • Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

    Hao Peng;Jianxin Li;Yu He;Yaopeng Liu

  • TIARA: a visual exploratory text analytic system

    Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan

  • MetaGAN: an adversarial approach to few-shot learning

    Ruixiang Zhang;Tong Che;Zoubin Ghahramani;Yoshua Bengio

  • KBQA: learning question answering over QA corpora and knowledge bases

    Wanyun Cui;Yanghua Xiao;Haixun Wang;Yangqiu Song

  • Short text conceptualization using a probabilistic knowledgebase

    Yangqiu Song;Haixun Wang;Zhongyuan Wang;Hongsong Li

  • Multilingual and Multi-Aspect Hate Speech Analysis

    Nedjma Ousidhoum;Zizheng Lin;Hongming Zhang;Yangqiu Song

  • HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network

    Shifu Hou;Yanfang Ye;Yangqiu Song;Melih Abdulhayoglu

  • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

    Tong Che;Yanran Li;Ruixiang Zhang;R Devon Hjelm

  • Semi-Supervised Multi-label Learning by Solving a Sylvester Equation

    Gang Chen;Yangqiu Song;Fei Wang;Changshui Zhang

  • A unified framework for semi-supervised dimensionality reduction

    Yangqiu Song;Feiping Nie;Changshui Zhang;Shiming Xiang

  • Understanding Hidden Memories of Recurrent Neural Networks

    Yao Ming;Shaozu Cao;Ruixiang Zhang;Zhen Li

  • TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song

  • Scalable Multiplex Network Embedding

    Hongming Zhang;Liwei Qiu;Lingling Yi;Yangqiu Song

  • Automatic taxonomy construction from keywords

    Xueqing Liu;Yangqiu Song;Shixia Liu;Haixun Wang

  • Transferred Dimensionality Reduction

    Zheng Wang;Yangqiu Song;Changshui Zhang

  • Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision

    Hongliang Dai;Yangqiu Song

  • Transitive Transfer Learning

    Ben Tan;Yangqiu Song;Erheng Zhong;Qiang Yang

Frequent Co-Authors

Changshui Zhang
Changshui Zhang Tsinghua University
Dan Roth
Dan Roth University of Pennsylvania
Shixia Liu
Shixia Liu Tsinghua University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Jianxin Li
Jianxin Li Tianjin Polytechnic University
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Haixun Wang
Haixun Wang Instacart
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Weihong Qian
Weihong Qian Peking University

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