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Yuxiao Dong

D-Index & Metrics

Computer Science

D-Index
39
Citations
12921
World Ranking
9504
National Ranking
1204

Yuxiao Dong 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 Yuxiao Dong 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: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Yuxiao Dong 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 Yuxiao Dong 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Yuxiao Dong is affiliated with Tsinghua University in China and has contributed extensively to the field of computer science. Their research spans primarily within the subfields of artificial intelligence, computer vision and pattern recognition, and information systems, with additional work related to molecular biology and management science and operations research.

Their work covers a range of topics including:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Domain Adaptation and Few-Shot Learning

Yuxiao Dong has published numerous papers, with some notable recent publications as follows:

  • Open Graph Benchmark: Datasets for Machine Learning on Graphs, 2020, arXiv (Cornell University)
  • Microsoft Academic Graph: When experts are not enough, 2020, Quantitative Science Studies
  • GraphMAE: Self-Supervised Masked Graph Autoencoders, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • GLM-130B: An Open Bilingual Pre-trained Model, 2022, arXiv (Cornell University)
  • ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools, 2024, arXiv (Cornell University)

Their frequent coauthors include Jie Tang, Aohan Zeng, Zhengxiao Du, and Yukuo Cen, reflecting collaborations that are repeated across multiple projects.

Yuxiao Dong's work appears predominantly in publication venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Proceedings of the ACM Web Conference 2022

In addition to articles, Yuxiao Dong has contributed to book publications with Springer Science+Business Media, authoring volumes related to machine learning and knowledge discovery in databases, including:

  • Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2021
  • Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Their research outputs contribute to advancing knowledge in machine learning methodologies and applications across diverse fields, with a significant emphasis on graph-based models, language models, and data quality issues.

Best Publications

  • metapath2vec: Scalable Representation Learning for Heterogeneous Networks

    Yuxiao Dong;Nitesh V. Chawla;Ananthram Swami

  • GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

    Jiezhong Qiu;Qibin Chen;Yuxiao Dong;Jing Zhang

  • Heterogeneous Graph Transformer

    Ziniu Hu;Yuxiao Dong;Kuansan Wang;Yizhou Sun

  • Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • GLM-130B: An Open Bilingual Pre-trained Model

    Unknown

  • DeepInf: Social Influence Prediction with Deep Learning

    Jiezhong Qiu;Jian Tang;Hao Ma;Yuxiao Dong

  • GPT-GNN: Generative Pre-Training of Graph Neural Networks

    Ziniu Hu;Yuxiao Dong;Kuansan Wang;Kai-Wei Chang

  • Microsoft Academic Graph: When experts are not enough

    Kuansan Wang;Zhihong Shen;Chiyuan Huang;Chieh-Han Wu

  • GraphMAE: Self-Supervised Masked Graph Autoencoders

    Unknown

  • Inferring social status and rich club effects in enterprise communication networks.

    Yuxiao Dong;Jie Tang;Nitesh V. Chawla;Tiancheng Lou

  • Link Prediction and Recommendation across Heterogeneous Social Networks

    Yuxiao Dong;Jie Tang;Sen Wu;Jilei Tian

  • Inferring user demographics and social strategies in mobile social networks

    Yuxiao Dong;Yang Yang;Jie Tang;Nitesh V. Chawla

  • Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks

    Qingsong Lv;Ming Ding;Qiang Liu;Yuxiang Chen

  • NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

    Unknown

  • ProNE: Fast and Scalable Network Representation Learning

    Jie Zhang;Yuxiao Dong;Yan Wang;Jie Tang

  • MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems

    Tinglin Huang;Yuxiao Dong;Ming Ding;Zhen Yang

  • A link clustering based overlapping community detection algorithm

    Chuan Shi;Yanan Cai;Di Fu;Yuxiao Dong

  • A Review of Microsoft Academic Services for Science of Science Studies.

    Kuansan Wang;Zhihong Shen;Chiyuan Huang;Chieh-Han Wu

  • A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations

    Yuxiao Dong;Hao Ma;Zhihong Shen;Kuansan Wang

  • Will This Paper Increase Your h-index?: Scientific Impact Prediction

    Yuxiao Dong;Reid A. Johnson;Nitesh V. Chawla

  • CoupledLP: Link Prediction in Coupled Networks

    Yuxiao Dong;Jing Zhang;Jie Tang;Nitesh V. Chawla

  • OAG: Toward Linking Large-scale Heterogeneous Entity Graphs

    Fanjin Zhang;Xiao Liu;Jie Tang;Yuxiao Dong

Frequent Co-Authors

Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Jie Tang
Jie Tang Tsinghua University
Kuansan Wang
Kuansan Wang Microsoft (United States)
Hao Ma
Hao Ma Facebook (United States)
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Francesco Calabrese
Francesco Calabrese Richemont
Omar Lizardo
Omar Lizardo University of California, Los Angeles
Yizhou Sun
Yizhou Sun University of California, Los Angeles
Xiaoming Fu
Xiaoming Fu University of Göttingen
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications

External Links

Personal website of Yuxiao Dong

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Best Scientists Citing Yuxiao Dong

Jie Tang

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Publications: 50

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University of Illinois at Chicago

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Chuan Shi

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Beijing University of Posts and Telecommunications

Publications: 43

Jiawei Han

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Publications: 40

Nitesh V. Chawla

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Publications: 37

Feng Xia

Feng Xia

RMIT University

Publications: 29

Yanfang Ye

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University of Notre Dame

Publications: 25

Nada Lavrač

Nada Lavrač

Jozef Stefan Institute

Publications: 22

Peng Cui

Peng Cui

Tsinghua University

Publications: 20

Danai Koutra

Danai Koutra

University of Michigan–Ann Arbor

Publications: 19

Yizhou Sun

Yizhou Sun

University of California, Los Angeles

Publications: 18

Xiangliang Zhang

Xiangliang Zhang

University of Notre Dame

Publications: 17

Ying Ding

Ying Ding

The University of Texas at Austin

Publications: 16

Yangqiu Song

Yangqiu Song

Hong Kong University of Science and Technology

Publications: 15

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