World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9346
World Ranking
7883
National Ranking
1036

Ke Xu 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 Ke Xu 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ke Xu 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 Ke Xu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Ke Xu is affiliated with Beihang University in China and has a research profile focused primarily on computer science, with a significant number of publications in artificial intelligence. Their work extends into several interdisciplinary subfields including molecular biology, materials chemistry, computer vision and pattern recognition, and sociology and political science.

The research topics Ke Xu covers include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Stock Market Forecasting Methods
  • Single-cell and Spatial Transcriptomics
  • Complex Systems and Time Series Analysis
  • Financial Markets and Investment Strategies

Ke Xu's publications span a range of recent papers, several of which have attracted multiple citations. Notable recent papers include:

  • "BERT Loses Patience: Fast and Robust Inference with Early Exit," 2020, published in arXiv (Cornell University)
  • "Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction," 2022, published in Knowledge-Based Systems
  • "Machine learning to predict aluminum segregation to magnesium grain boundaries," 2021, published in Scripta Materialia
  • "Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models," 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Zn leaching reconstructs high-entropy hydroxyl oxides for efficient OER at large current density," 2024, published in Journal of Materials Chemistry A

The frequent coauthors in Ke Xu's research collaborations include:

  • Wangchunshu Zhou
  • Furu Wei
  • Tao Ge
  • Xuancheng Zhou
  • Hao Chi

Ke Xu has published multiple works in key venues that frequently feature their research. These include:

  • arXiv (Cornell University)
  • Frontiers in Immunology
  • Discover Oncology
  • Information Sciences
  • Highlights in Science Engineering and Technology

Best Publications

  • Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • Question Answering over Freebase with Multi-Column Convolutional Neural Networks

    Li Dong;Furu Wei;Ming Zhou;Ke Xu

  • MoodLens: an emoticon-based sentiment analysis system for chinese tweets

    Jichang Zhao;Li Dong;Junjie Wu;Ke Xu

  • The scaling of human mobility by taxis is exponential

    Xiao Liang;Xudong Zheng;Weifeng Lv;Tongyu Zhu

  • Anger Is More Influential than Joy: Sentiment Correlation in Weibo

    Rui Fan;Jichang Zhao;Yan Chen;Ke Xu

  • Word network topic model: a simple but general solution for short and imbalanced texts

    Yuan Zuo;Jichang Zhao;Ke Xu

  • Exact Phase Transitions in Random Constraint Satisfaction Problems

    Unknown

  • Online minimum matching in real-time spatial data: experiments and analysis

    Yongxin Tong;Jieying She;Bolin Ding;Lei Chen

  • BERT Loses Patience: Fast and Robust Inference with Early Exit

    Wangchunshu Zhou;Canwen Xu;Tao Ge;Julian J. McAuley

  • A Survey of Social-Aware Routing Protocols in Delay Tolerant Networks: Applications, Taxonomy and Design-Related Issues

    Kaimin Wei;Xiao Liang;Ke Xu

  • Topic Modeling of Short Texts: A Pseudo-Document View

    Yuan Zuo;Junjie Wu;Hui Zhang;Hao Lin

  • Random constraint satisfaction: Easy generation of hard (satisfiable) instances

    Unknown

  • Weak ties: Subtle role of information diffusion in online social networks

    Jichang Zhao;Junjie Wu;Ke Xu

  • Who creates Trends in Online Social Media: The Crowd or Opinion Leaders?

    Leihan Zhang;Jichang Zhao;Ke Xu

  • Visualizing and Understanding the Effectiveness of BERT.

    Yaru Hao;Li Dong;Furu Wei;Ke Xu

  • Learning to Generate Product Reviews from Attributes

    Li Dong;Shaohan Huang;Furu Wei;Mirella Lapata

  • A unified approach to route planning for shared mobility

    Yongxin Tong;Yuxiang Zeng;Zimu Zhou;Lei Chen

  • Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

    Yaru Hao;Li Dong;Furu Wei;Ke Xu

  • Flexible online task assignment in real-time spatial data

    Yongxin Tong;Libin Wang;Zimu Zhou;Bolin Ding

  • Link prediction in complex networks: a clustering perspective

    Xu Feng;Jichang Zhao;Ke Xu

  • Trichromatic Online Matching in Real-Time Spatial Crowdsourcing

    Tianshu Song;Yongxin Tong;Libin Wang;Jieying She

  • Information propagation in online social networks: a tie-strength perspective

    Jichang Zhao;Junjie Wu;Xu Feng;Hui Xiong

Frequent Co-Authors

Furu Wei
Furu Wei Microsoft (United States)
Li Dong
Li Dong Microsoft (United States)
Yongxin Tong
Yongxin Tong Beihang University
Ming Zhou
Ming Zhou Langboat Technology
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Junjie Wu
Junjie Wu Beihang University
Julian McAuley
Julian McAuley University of California, San Diego
Song Guo
Song Guo Hong Kong University of Science and Technology
Zimu Zhou
Zimu Zhou City University of Hong Kong
Hui Zhang
Hui Zhang Carnegie Mellon University

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