World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7450
World Ranking
8825
National Ranking
3769

Xian-He 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 Xian-He 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Xian-He 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 Xian-He 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Xian-He Sun is affiliated with the Illinois Institute of Technology in the United States and specializes in computer science. Their research work spans multiple interconnected fields and subfields, with a strong focus on areas related to computing systems and data management.

The primary fields of study for Xian-He Sun include:

  • Computer Science

Within this domain, their subfields of study are:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems
  • Computer Vision and Pattern Recognition

Their main research topics encompass:

  • Parallel Computing and Optimization Techniques
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Topic Modeling

Xian-He Sun has published research papers in several venues, prominently including:

  • arXiv (Cornell University)
  • Journal of Computer Science and Technology
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Computer Architecture Letters
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Recent papers authored or co-authored by Xian-He Sun include:

  • "I/O Acceleration via Multi-Tiered Data Buffering and Prefetching," 2020, Journal of Computer Science and Technology
  • "Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion," 2024, Applied Acoustics
  • "The Memory-Bounded Speedup Model and Its Impacts in Computing," 2023, Journal of Computer Science and Technology
  • "Sentiment Analysis of Online New Energy Vehicle Reviews," 2023, Applied Sciences
  • "Sova: A Software-Defined Autonomic Framework for Virtual Network Allocations," 2020, IEEE Transactions on Parallel and Distributed Systems

The scientist frequently collaborates with several co-authors, including:

  • Shuibing He
  • Ruobing Xie
  • Xiaoyang Lu
  • Anthony Kougkas
  • Xuechen Zhang

Best Publications

  • QoS guided min-min heuristic for grid task scheduling

    XiaoShan He;XianHe Sun;Gregor von Laszewski

  • Scalability of parallel algorithm-machine combinations

    Xian-He Sun;Diane T. Rover

  • Reevaluating Amdahl's law in the multicore era

    Xian-He Sun;Yong Chen

  • Scalable problems and memory-bounded speedup

    Xian-He Sun;Lionel M. Ni

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Surendra Byna;Yong Chen;Xian-He Sun;Rajeev Thakur

  • Performance modeling and prediction of nondedicated network computing

    Linguo Gong;Xian-He Sun;E.F. Watson

  • Another view on parallel speedup

    Xian-He Sun;Lionel M. Ni

  • Toward a better parallel performance metric

    Xian-He Sun;John L. Gustafson

  • ADAPT: Availability-Aware MapReduce Data Placement for Non-dedicated Distributed Computing

    Hui Jin;Xi Yang;Xian-He Sun;Ioan Raicu

  • Data collection and restoration for homogeneous or heterogeneous process migration

    Xian-He Sun;Kasidit Chanchio

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Unknown

  • Hiding I/O latency with pre-execution prefetching for parallel applications

    Yong Chen;Surendra Byna;Xian-He Sun;Rajeev Thakur

  • Efficient tridiagonal solvers on multicomputers

    X.-H. Sun;H. Zhang;L.M. Ni

  • Communication and process migration protocols for distributed heterogeneous computing

    Xian-He Sun;Kasidit Chanchio

  • Toward a better parallel performance metric

    Unknown

  • Grid Harvest Service: a system for long-term, application-level task scheduling

    Xian-He Sun;Ming Wu

  • Server-side I/O coordination for parallel file systems

    Huaiming Song;Yanlong Yin;Xian-He Sun;Rajeev Thakur

  • I/O acceleration with pattern detection

    Jun He;John Bent;Aaron Torres;Gary Grider

  • Stabilized Explicit-Implicit Domain Decomposition Methods for the Numerical Solution of Parabolic Equations

    Yu Zhuang;Xian-He Sun

  • A neural network based predictive mechanism for available bandwidth

    A. Eswaradass;X.-H. Sun;M. Wu

  • Improving the performance of MPI derived datatypes by optimizing memory-access cost

    Byna;Gropp;Xian-He Sun;Thakur

  • Application and accuracy of the parallel diagonal dominant algorithm

    Xian-He Sun

Frequent Co-Authors

Kaushik De
Kaushik De The University of Texas at Arlington
Tobias Golling
Tobias Golling University of Geneva

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