World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8244
World Ranking
6538
National Ranking
260

Kui Wu 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 Kui Wu 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Kui Wu 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 Kui Wu 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Kui Wu is affiliated with the University of Victoria in Canada and has contributed extensively to research in computer science and engineering. Their work spans multiple related subfields and topics encompassing both theoretical and applied aspects of networking, computing, and intelligent systems.

Wu's main fields of study include:

  • Computer Science
  • Engineering

Within these fields, key subfields of study consist of:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Information Systems

Their research addresses several main topics:

  • IoT and Edge/Fog Computing
  • Green IT and Sustainability
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications
  • Cloud Computing and Resource Management

Recent publications by Kui Wu include:

  • HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning, 2020, IEEE Internet of Things Journal
  • FedNILM: Applying Federated Learning to NILM Applications at the Edge, 2022, IEEE Transactions on Green Communications and Networking
  • A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Multi-Agent Learning-Based Optimal Task Offloading and UAV Trajectory Planning for AGIN-Power IoT, 2023, IEEE Transactions on Communications

Frequent co-authors who have collaborated with Wu include:

  • Guoming Tang
  • Jianping Wang
  • Deke Guo
  • Kejie Lu
  • Tongqing Zhou

Wu has contributed extensively to various publication venues. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Vehicular Technology

Additionally, Kui Wu has authored work published by Springer Nature, including a book titled GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing (2022).

Best Publications

  • An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation

    Chong Liu;Kui Wu;Jian Pei

  • Learning human–environment interactions using conformal tactile textiles

    Yiyue Luo;Yunzhu Li;Pratyusha Sharma;Wan Shou

  • Random coverage with guaranteed connectivity: joint scheduling for wireless sensor networks

    C. Liu;K. Wu;Y. Xiao;B. Sun

  • Lightweight deployment-aware scheduling for wireless sensor networks

    Kui Wu;Yong Gao;Fulu Li;Yang Xiao

  • Sensor localization with Ring Overlapping based on Comparison of Received Signal Strength Indicator

    Chong Liu;Kui Wu;Tian He

  • Battling the internet water army: detection of hidden paid posters

    Cheng Chen;Kui Wu;Venkatesh Srinivasan;Xudong Zhang

  • Analysis on the redundancy of wireless sensor networks

    Yong Gao;Kui Wu;Fulu Li

  • Security Vulnerabilities of Internet of Things: A Case Study of the Smart Plug System

    Zhen Ling;Junzhou Luo;Yiling Xu;Chao Gao

  • Radio frequency identification: technologies, applications, and research issues

    Yang Xiao;Senhua Yu;Kui Wu;Qiang Ni

  • Performance study of a multipath routing method for wireless mobile ad hoc networks

    Kui Wu;J. Harms

  • Alert aggregation in mobile ad hoc networks

    Bo Sun;Kui Wu;Udo W. Pooch

  • Load-sensitive routing for mobile ad hoc networks

    K. Wu;J. Harms

  • Secure data aggregation without persistent cryptographic operations in wireless sensor networks

    Kui Wu;Dennis Dreef;Bo Sun;Yang Xiao

  • Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks

    Yang Xiao;Hui Chen;Kui Wu;Bo Sun

  • Energy-efficient cooperative routing in multi-hop wireless ad hoc networks

    F. Li;K. Wu;A. Lippman

  • Energy efficient information collection with the ARIMA model in wireless sensor networks

    Chong Liu;Kui Wu;Min Tsao

  • Anomaly Detection Based Secure In-Network Aggregation for Wireless Sensor Networks

    Bo Sun;Xuemei Shan;Kui Wu;Yang Xiao

  • GPU optimization of material point methods

    Ming Gao;Xinlei Wang;Kui Wu;Andre Pradhana

  • Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning

    Wenxia Guo;Wenhong Tian;Yufei Ye;Lingxiao Xu

  • Visual knitting machine programming

    Vidya Narayanan;Kui Wu;Cem Yuksel;James McCann

  • An Enhanced Fast Handover with Low Latency for Mobile IPv6

    Ruidong Li;Jie Li;Kui Wu;Yang Xiao

  • Enhancing security using mobility-based anomaly detection in cellular mobile networks

    Bo Sun;Fei Yu;Kui Wu;Yang Xiao

Frequent Co-Authors

Yang Xiao
Yang Xiao University of Alabama
Jianping Wang
Jianping Wang City University of Hong Kong
Kejie Lu
Kejie Lu University of Puerto Rico-Mayaguez
Yuming Jiang
Yuming Jiang Norwegian University of Science and Technology
Jian Pei
Jian Pei Duke University
Deke Guo
Deke Guo Sun Yat-sen University
Jie Li
Jie Li Shanghai Jiao Tong University
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology
Weijia Jia
Weijia Jia Beijing Normal University

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