World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10193
World Ranking
7849
National Ranking
3396

Xiaorui Wang 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 Xiaorui Wang 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Xiaorui Wang 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 Xiaorui Wang 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: 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.

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to power management of data center servers and embedded systems

Overview

Xiaorui Wang is affiliated with The Ohio State University in the United States and has contributed extensively to research across multiple fields including Computer Science and Engineering. Their work spans key subfields such as Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology, and Computer Vision and Pattern Recognition.

The main topics of their research include Speech and Audio Processing, Music and Audio Processing, Speech Recognition and Synthesis, Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, and Natural Language Processing Techniques.

Some of their recent published papers are:

  • Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning, 2021, Nature Machine Intelligence
  • Developing supply chain resilience through integration: An empirical study on an e-commerce platform, 2022, Journal of Operations Management
  • Gaussian Dynamic Convolution for Efficient Single-Image Segmentation, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • An adaptive graph learning method for automated molecular interactions and properties predictions, 2022, Nature Machine Intelligence
  • A photo-triggered antifungal nanoplatform with efflux pump and heat shock protein reversal activity for enhanced chemo-photothermal synergistic therapy, 2021, Biomaterials Science

Frequent co-authors collaborating with Xiaorui Wang include:

  • Chang-Yu Hsieh
  • Zhongyuan Wang
  • Hao Che
  • Tingjun Hou
  • Chenxing Li

Wang's research has appeared regularly in venues such as:

  • arXiv (Cornell University)
  • Interspeech 2022
  • Nature Machine Intelligence
  • Journal of Cheminformatics
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

In 2021, Wang was recognized as an IEEE Fellow for contributions to power management of data center servers and embedded systems.

Best Publications

  • Integrated coverage and connectivity configuration in wireless sensor networks

    Xiaorui Wang;Guoliang Xing;Yuanfang Zhang;Chenyang Lu

  • Integrated coverage and connectivity configuration for energy conservation in sensor networks

    Guoliang Xing;Xiaorui Wang;Yuanfang Zhang;Chenyang Lu

  • Real-time Power-Aware Routing in Sensor Networks

    O. Chipara;Z. He;Guoling Xing;Qin Chen

  • Server-Level Power Control

    C. Lefurgy;Xiaorui Wang;M. Ware

  • Cluster-level feedback power control for performance optimization

    Xiaorui Wang;Ming Chen

  • Temperature-constrained power control for chip multiprocessors with online model estimation

    Yefu Wang;Kai Ma;Xiaorui Wang

  • GreenWare: greening cloud-scale data centers to maximize the use of renewable energy

    Yanwei Zhang;Yefu Wang;Xiaorui Wang

  • Power capping: a prelude to power shifting

    Charles Lefurgy;Xiaorui Wang;Malcolm Ware

  • SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers

    Xiaorui Wang;Ming Chen;Charles Lefurgy;Tom W. Keller

  • Feedback utilization control in distributed real-time systems with end-to-end tasks

    Chenyang Lu;Xiaorui Wang;X. Koutsoukos

  • CARPO: Correlation-aware power optimization in data center networks

    Xiaodong Wang;Yanjun Yao;Xiaorui Wang;Kefa Lu

  • Coordinating Power Control and Performance Management for Virtualized Server Clusters

    Xiaorui Wang;Yefu Wang

  • Effective VM sizing in virtualized data centers

    Ming Chen;Hui Zhang;Ya-Yunn Su;Xiaorui Wang

  • Scalable power control for many-core architectures running multi-threaded applications

    Kai Ma;Xue Li;Ming Chen;Xiaorui Wang

  • GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures

    Kai Ma;Xue Li;Wei Chen;Chi Zhang

  • Joint Power Optimization of Data Center Network and Servers with Correlation Analysis

    Kuangyu Zheng;Xiaodong Wang;Li Li;Xiaorui Wang

  • Power-Efficient Response Time Guarantees for Virtualized Enterprise Servers

    Yefu Wang;Xiaorui Wang;Ming Chen;Xiaoyun Zhu

  • Exploring power-performance tradeoffs in database systems

    Zichen Xu;Yi-Cheng Tu;Xiaorui Wang

  • C-MAC: Model-Driven Concurrent Medium Access Control for Wireless Sensor Networks

    M. Sha;G. Xing;G. Zhou;S. Liu

  • DEUCON: Decentralized End-to-End Utilization Control for Distributed Real-Time Systems

    X. Wang;D. Jia;C. Lu;X. Koutsoukos

Frequent Co-Authors

Guoliang Xing
Guoliang Xing Chinese University of Hong Kong
Chenyang Lu
Chenyang Lu Washington University in St. Louis
Beverly Paigen
Beverly Paigen University of Pennsylvania
Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University
Christopher Gill
Christopher Gill Washington University in St. Louis
Junmin Wang
Junmin Wang The University of Texas at Austin
Hairong Qi
Hairong Qi University of Tennessee at Knoxville
Rui Tan
Rui Tan Nanyang Technological University
Charles R. Lefurgy
Charles R. Lefurgy IBM (United States)
Xue Liu
Xue Liu McGill University

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