World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
23469
World Ranking
2409
National Ranking
328

Kai Hwang 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 Kai Hwang 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Kai Hwang 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 Kai Hwang 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: 65 D-Index — 83rd percentile

83% 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

  • 1986 - IEEE Fellow For contributions to the theory, design, and applications of digital computers, particularly in the areas of digital arithmetic, system architecture, and parallel processing.

Overview

Kai Hwang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research contributions span multiple areas within computer science, with a primary focus on artificial intelligence and information systems.

The scientist has authored numerous papers covering topics related to cloud computing, mobile crowdsensing, privacy-preserving technologies, and digital mental health interventions. Some of the recent publications include:

  • "Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network" (2020), published in IEEE Access
  • "Living with I-Fabric: Smart Living Powered by Intelligent Fabric and Deep Analytics" (2020), published in IEEE Network
  • "Optimal Location Privacy Preserving and Service Quality Guaranteed Task Allocation in Vehicle-Based Crowdsensing Networks" (2021), published in IEEE Transactions on Intelligent Transportation Systems
  • "Deep Reinforcement Learning for Scenario-Based Robust Economic Dispatch Strategy in Internet of Energy" (2020), published in IEEE Internet of Things Journal
  • "A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring" (2021), published in Computer Networks

Frequent coauthors in the scientist's work include Min Chen, Long Hu, M. Shamim Hossain, Ghulam Muhammad, and Zhibin Yu.

Publication venues where the scientist frequently contributes include:

  • IEEE Access
  • IEEE Network
  • IEEE Internet of Things Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • Computer Networks

The main field of study for the scientist is computer science, with numerous works in subfields such as:

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Kai Hwang's research topics address a broad array of areas including:

  • Cloud Computing and Resource Management
  • Mobile Crowdsensing and Crowdsourcing
  • Mental Health Research Topics
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Digital Mental Health Interventions
  • Mental Health via Writing

The scientist was recognized as an IEEE Fellow in 1986 for contributions to the theory, design, and applications of digital computers, particularly in digital arithmetic, system architecture, and parallel processing.

Best Publications

  • Computer Architecture and Parallel Processing

    Kai Hwang;Faye A. Briggs

  • Advanced Computer Architecture: Parallelism,Scalability,Programmability

    Kai Hwang

  • Computer arithmetic: Principles, architecture, and design

    Kai Hwang

  • Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

    Min Chen;Yixue Hao;Kai Hwang;Lu Wang

  • PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing

    Runfang Zhou;Kai Hwang

  • Scalable Parallel Computing: Technology, Architecture, Programming

    Kai Hwang;Zhiwei Xu

  • Trusted P2P transactions with fuzzy reputation aggregation

    S. Song;K. Hwang;R. Zhou;Y.-K. Kwok

  • Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

    Kai Hwang;Jack Dongarra;Geoffrey C. Fox

  • Trusted Cloud Computing with Secure Resources and Data Coloring

    Kai Hwang;Deyi Li

  • Narrow Band Internet of Things

    Min Chen;Yiming Miao;Yixue Hao;Kai Hwang

  • Collaborative Detection of DDoS Attacks over Multiple Network Domains

    Yu Chen;Kai Hwang;Wei-Shinn Ku

  • GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks

    Runfang Zhou;Kai Hwang;Min Cai

  • Hybrid Intrusion Detection with Weighted Signature Generation over Anomalous Internet Episodes

    Kai Hwang;Min Cai;Ying Chen;Min Qin

  • Collaborative detection and filtering of shrew DDoS attacks using spectral analysis

    Yu Chen;Kai Hwang

  • Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

    Junwei Cao;Kai Hwang;Keqin Li;Albert Y. Zomaya

  • Risk-resilient heuristics and genetic algorithms for security-assured grid job scheduling

    S. Song;Kai Hwang;Yu-Kwong Kwok

  • Cloud Security with Virtualized Defense and Reputation-Based Trust Mangement

    Kai Hwang;Sameer Kulkareni;Yue Hu

  • Cognitive Computing: Architecture, Technologies and Intelligent Applications

    Min Chen;Francisco Herrera;Kai Hwang

  • RAID-x: a new distributed disk array for I/O-centric cluster computing

    Kai Hwang;Hai Jin;Roy Ho

  • Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers

    Kai Hwang;Joydeep Ghosh

  • Proceedings of the 1986 international conference on parallel processing

    K. Hwang;S.M. Jacobs;E.E. Swartzlander

Frequent Co-Authors

Yu-Kwong Kwok
Yu-Kwong Kwok Hong Kong Metropolitan University
Min Chen
Min Chen South China University of Technology
Hai Jin
Hai Jin Huazhong University of Science and Technology
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Dhabaleswar K. Panda
Dhabaleswar K. Panda The Ohio State University
Keqin Li
Keqin Li State University of New York at New Paltz
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Samee U. Khan
Samee U. Khan Mississippi State University
Wei-Shinn Ku
Wei-Shinn Ku Auburn University

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