World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5766
World Ranking
11628
National Ranking
1436

Xiaoyong Du 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 Xiaoyong Du 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: 342 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Xiaoyong Du 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 Xiaoyong Du 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Xiaoyong Du is affiliated with Renmin University of China. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, and Aerospace Engineering.

Their research covers various topics such as Advanced Database Systems and Queries, Advanced Data Storage Technologies, Topic Modeling, Distributed Systems and Fault Tolerance, Data Quality and Management, Algorithms and Data Compression, and Graph Theory and Algorithms.

Recent publications by Xiaoyong Du include these papers:

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression (2021) in IEEE Transactions on Parallel and Distributed Systems
  • SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition (2022) in Proceedings of the AAAI Conference on Artificial Intelligence
  • TADOC: Text analytics directly on compression (2020) in The VLDB Journal
  • RPT (2021) in Proceedings of the VLDB Endowment
  • Scalable Graph Neural Networks via Bidirectional Propagation (2020) in arXiv (Cornell University)

Xiaoyong Du frequently collaborates with several coauthors, including Feng Zhang, Ju Fan, Wei Lü, Nan Tang, and Jidong Zhai.

Their work is regularly published in journals and conferences such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Parallel and Distributed Systems
  • The VLDB Journal

In addition to journal and conference papers, Xiaoyong Du has contributed to book publications. Notably, they published a book titled Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation in 2020 through Springer Science+Business Media.

Best Publications

  • Analogical Reasoning on Chinese Morphological and Semantic Relations

    Unknown

  • Big data challenge: a data management perspective

    Jinchuan Chen;Yueguo Chen;Xiaoyong Du;Cuiping Li

  • Learning ontology from relational database

    Man Li;Xiao-Yong Du;Shan Wang

  • Structure Based User Identification across Social Networks

    Xiaoping Zhou;Xun Liang;Xiaoyong Du;Jichao Zhao

  • Detecting Event Rumors on Sina Weibo Automatically

    Shengyun Sun;Hongyan Liu;Jun He;Xiaoyong Du

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression

    Feng Zhang;Jidong Zhai;Xipeng Shen;Onur Mutlu

  • UER: An Open-Source Toolkit for Pre-training Models.

    Zhe Zhao;Hui Chen;Jinbin Zhang;Xin Zhao

  • Efficient and Scalable Processing of String Similarity Join

    Chuitian Rong;Wei Lu;Xiaoli Wang;Xiaoyong Du

  • Zero-shot Image Tagging by Hierarchical Semantic Embedding

    Xirong Li;Shuai Liao;Weiyu Lan;Xiaoyong Du

  • SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition

    Zhaoxin Fan;Zhenbo Song;Hongyan Liu;Zhiwu Lu

  • Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics

    Chuitian Rong;Chuitian Rong;Chunbin Lin;Yasin N. Silva;Jianguo Wang

  • Discriminative Nonnegative Spectral Clustering with Out-of-Sample Extension

    Yang Yang;Yi Yang;Heng Tao Shen;Yanchun Zhang

  • Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics

    Unknown

  • Initializing Convolutional Filters with Semantic Features for Text Classification

    Unknown

  • A Novel Approach to Building a Robust Fuzzy Rough Classifier

    Suyun Zhao;Hong Chen;Cuiping Li;Xiaoyong Du

  • A novel Bayesian classification for uncertain data

    Biao Qin;Yuni Xia;Shan Wang;Xiaoyong Du

  • TADOC: Text analytics directly on compression

    Feng Zhang;Jidong Zhai;Xipeng Shen;Dalin Wang

  • A Study of SQL-on-Hadoop Systems

    Yueguo Chen;Xiongpai Qin;Haoqiong Bian;Jun Chen

  • Persistent Data Sketching

    Zhewei Wei;Ge Luo;Ke Yi;Xiaoyong Du

  • Scaling Word2Vec on Big Corpus

    Bofang Li;Bofang Li;Aleksandr Drozd;Yuhe Guo;Tao Liu

  • DAGC: Employing Dual Attention and Graph Convolution for Point Cloud based Place Recognition

    Qi Sun;Hongyan Liu;Jun He;Zhaoxin Fan

  • Personalized Service System Based on Hybrid Filtering for Digital Library

    Unknown

  • Cost-effective data annotation using game-based crowdsourcing

    Jingru Yang;Ju Fan;Zhewei Wei;Guoliang Li

  • Approximate Graph Propagation

    Hanzhi Wang;Mingguo He;Zhewei Wei;Sibo Wang

  • Wide Table Layout Optimization based on Column Ordering and Duplication

    Haoqiong Bian;Ying Yan;Wenbo Tao;Liang Jeff Chen

  • PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs

    Zhewei Wei;Xiaodong He;Xiaokui Xiao;Sibo Wang

  • Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

    Ju Fan;Tongyu Liu;Guoliang Li;Junyou Chen

Frequent Co-Authors

Hongyan Liu
Hongyan Liu Peking University
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Bingsheng He
Bingsheng He National University of Singapore
Xipeng Shen
Xipeng Shen North Carolina State University
Onur Mutlu
Onur Mutlu ETH Zurich
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Rui Zhang
Rui Zhang National University of Singapore
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
X. Sean Wang
X. Sean Wang Fudan University

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