World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9269
World Ranking
4400
National Ranking
591

Xu 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 Xu 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: 282 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Xu 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 Xu 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Xu Sun is a researcher affiliated with Peking University in China, specializing in computer science with a strong focus on artificial intelligence. Their scholarly output encompasses numerous papers primarily in the fields of artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, electrical and electronic engineering, and sociology and political science.

Their recent significant publications include:

  • "Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation" (2021), published in arXiv (Cornell University)
  • "A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants" (2022), published in Engineering Applications of Artificial Intelligence
  • "Topology-Imbalance Learning for Semi-Supervised Node Classification" (2021), published in arXiv (Cornell University)
  • "EQG-RACE: Examination-Type Question Generation" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence

Xu Sun's frequent co-authors include:

  • Xuancheng Ren
  • Yunfang Wu
  • Shuhuai Ren
  • Lei Li
  • Shaoxiong Feng

Their work has appeared repeatedly in several notable publication venues, including:

  • arXiv (Cornell University) with 28 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 8 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 3 publications
  • Neurocomputing with 3 publications
  • ACM Transactions on Knowledge Discovery from Data with 2 publications

Key research topics addressed in Xu Sun's work cover a range of areas within artificial intelligence and machine learning:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Speech and Dialogue Systems
  • Anomaly Detection Techniques and Applications

Overall, Xu Sun's research contributes extensively to advancing methods in artificial intelligence, incorporating both theoretical and applied approaches in diverse subfields. Their collaborations and publication record demonstrate an active engagement with multiple research communities and domains.

Best Publications

  • Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

    Deli Chen;Yankai Lin;Wei Li;Peng Li

  • SGM: Sequence Generation Model for Multi-label Classification

    Pengcheng Yang;Xu Sun;Wei Li;Shuming Ma

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xiaodong Zhang

  • Aligning Cross-Lingual Entities with Multi-Aspect Information

    Hsiu Wei Yang;Yanyan Zou;Peng Shi;Wei Lu

  • Evaluating user experience of adaptive digital educational games with Activity Theory

    Effie Lai-Chong Law;Xu Sun

  • Contrastive Attention for Automatic Chest X-ray Report Generation

    Fenglin Liu;Changchang Yin;Xian Wu;Shen Ge

  • A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

    Fuli Luo;Peng Li;Jie Zhou;Pengcheng Yang

  • A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.

    Hangfeng He;Xu Sun

  • F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media

    Hangfeng He;Xu Sun

  • High-sensitivity liquid refractive-index sensor based on a Mach-Zehnder interferometer with a double-slot hybrid plasmonic waveguide

    Xu Sun;Daoxin Dai;Lars Thylén;Lech Wosinski

  • meProp: sparsified back propagation for accelerated deep learning with reduced overfitting

    Xu Sun;Xuancheng Ren;Shuming Ma;Houfeng Wang

  • Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation

    Jingjing Xu;Xuancheng Ren;Junyang Lin;Xu Sun

  • A Large Scale Ranker-Based System for Search Query Spelling Correction

    Jianfeng Gao;Xiaolong Li;Daniel Micol;Chris Quirk

  • PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

    Ruixuan Luo;Jingjing Xu;Yi Zhang;Xuancheng Ren

  • Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection

    Xu Sun;Houfeng Wang;Wenjie Li

  • Learning Personalized End-to-End Goal-Oriented Dialog

    Unknown

  • A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

    Jingjing Xu;Xuancheng Ren;Yi Zhang;Qi Zeng

  • Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.

    Wenkai Yang;Lei Li;Zhiyuan Zhang;Xuancheng Ren

  • A user-centred mobile diary study approach to understanding serendipity in information research

    Xu Sun;Sarah Sharples;Stephann Makri

  • A comparison of field-based and lab-based experiments to evaluate user experience of personalised mobile devices

    Xu Sun;Andrew May

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xuancheng Ren

  • Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

    Guangxiang Zhao;Junyang Lin;Zhiyuan Zhang;Xuancheng Ren

  • A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

    Fuli Luo;Peng Li;Jie Zhou;Pengcheng Yang

Frequent Co-Authors

Houfeng Wang
Houfeng Wang Peking University
Shuming Ma
Shuming Ma Peking University
Peng Li
Peng Li University of California, Santa Barbara
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Yankai Lin
Yankai Lin Tencent (China)
Jie Zhou
Jie Zhou Tsinghua University
Sujian Li
Sujian Li Peking University
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Baobao Chang
Baobao Chang Peking University
Daoxin Dai
Daoxin Dai Zhejiang University

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