World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10940
World Ranking
4122
National Ranking
551

Xiaowen Chu 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 Xiaowen Chu 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: 254 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Xiaowen Chu 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 Xiaowen Chu 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Xiaowen Chu is a researcher affiliated with Hong Kong Baptist University in China. Their academic work spans several key fields with a primary emphasis on Computer Science and Engineering, including notable contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The scientist's research topics cover a broad range of advanced and specialized areas. These include:

  • Privacy-Preserving Technologies in Data
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Stochastic Gradient Optimization Techniques
  • Natural Language Processing Techniques
  • Advanced Data Storage Technologies
  • Ferroelectric and Negative Capacitance Devices

Xiaowen Chu has published extensively, with a total of 230 works in Computer Science and 71 in Engineering. Among the notable recent papers are:

  • AutoML: A survey of the state-of-the-art, 2020, Knowledge-Based Systems
  • VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems, 2021, IEEE Transactions on Network Science and Engineering
  • GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication, 2022, IEEE Transactions on Parallel and Distributed Systems
  • A Survey of Deep Learning Techniques for Neural Machine Translation, 2020, arXiv (Cornell University)
  • Communication-Efficient Distributed Deep Learning: A Comprehensive Survey, 2020, arXiv (Cornell University)

The researcher has frequent coauthors, among whom the most common collaborators are:

  • Shaohuai Shi
  • Zhenheng Tang
  • Qiang Wang
  • Kaiyong Zhao
  • Meixin Zhu

Xiaowen Chu's work appears regularly in various publication venues. The most frequent include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Network
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal

The researcher is also credited with contributing to academic literature through books. One such publication is titled Quality, Reliability, Security and Robustness in Heterogeneous Systems, published in 2020 by the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Best Publications

  • AutoML: A survey of the state-of-the-art

    Xin He;Kaiyong Zhao;Xiaowen Chu

  • Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

    Albert Y S Lam;Yiu Wing Leung;Xiaowen Chu

  • Benchmarking State-of-the-Art Deep Learning Software Tools

    Shaohuai Shi;Qiang Wang;Pengfei Xu;Xiaowen Chu

  • Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.

    Xianyan Jia;Shutao Song;Wei He;Yangzihao Wang

  • SOAP3: ultra-fast GPU-based parallel alignment tool for short reads.

    Chi-Man Liu;Thomas K. F. Wong;Edward Wu;Ruibang Luo

  • Speeding up k-Means algorithm by GPUs

    You Li;Kaiyong Zhao;Xiaowen Chu;Jiming Liu

  • Dissecting GPU Memory Hierarchy Through Microbenchmarking

    Xinxin Mei;Xiaowen Chu

  • Deep learning identifies accurate burst locations in water distribution networks.

    Xiao Zhou;Zhenheng Tang;Weirong Xu;Fanlin Meng

  • Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks

    Hai Liu;Zhiyong Lin;Xiaowen Chu;Yiu-Wing Leung

  • FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

    Rongfei Zeng;Shixun Zhang;Jiaqi Wang;Xiaowen Chu

  • Jump-stay based channel-hopping algorithm with guaranteed rendezvous for cognitive radio networks

    Unknown

  • Wavelength converter placement under different RWA algorithms in wavelength-routed all-optical networks

    Xiaowen Chu;Bo Li;I. Chlamtac

  • VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems

    Zhe Peng;Jianliang Xu;Xiaowen Chu;Shang Gao

  • Autonomous-Vehicle Public Transportation System: Scheduling and Admission Control

    Albert Y. S. Lam;Yiu-Wing Leung;Xiaowen Chu

  • A dynamic RWA algorithm in a wavelength-routed all-optical network with wavelength converters

    Xiaowen Chu;Bo Li;Zhensheng Zhang

  • Dynamic routing and wavelength assignment in the presence of wavelength conversion for all-optical networks

    Xiaowen Chu;Bo Li

  • Enhanced Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks

    Zhiyong Lin;Hai Liu;Xiaowen Chu;Yiu-Wing Leung

  • A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

    Shaohuai Shi;Qiang Wang;Kaiyong Zhao;Zhenheng Tang

  • Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction

    Xiangzhen Kong;Chuang Lin;Yixin Jiang;Wei Yan

  • Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

    Shaohuai Shi;Qiang Wang;Xiaowen Chu

  • Reliable and Energy-Efficient Routing for Static Wireless Ad Hoc Networks with Unreliable Links

    Xiang-Yang Li;Yu Wang;Haiming Chen;Xiaowen Chu

  • Ring-Walk Based Channel-Hopping Algorithms with Guaranteed Rendezvous for Cognitive Radio Networks

    Hai Liu;Zhiyong Lin;Xiaowen Chu;Yiu-Wing Leung

Frequent Co-Authors

Chuang Lin
Chuang Lin Tsinghua University
Jiangchuan Liu
Jiangchuan Liu Simon Fraser University
Zongpeng Li
Zongpeng Li Tsinghua University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Geyong Min
Geyong Min University of Exeter
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Albert Y. S. Lam
Albert Y. S. Lam University of Hong Kong
Fengyuan Ren
Fengyuan Ren Tsinghua University
Johan Pouwelse
Johan Pouwelse Delft University of Technology
Dick Epema
Dick Epema Delft University of Technology

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