World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
29158
World Ranking
2033
National Ranking
281

Pan Hui 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 Pan Hui 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: 494 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Pan Hui 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 Pan Hui 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: 68 D-Index — 86th percentile

86% 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

  • 2019 - Member of Academia Europaea
  • 2018 - IEEE Fellow For contributions to social-based opportunistic networks
  • 2016 - ACM Distinguished Member

Overview

Pan Hui is affiliated with the Hong Kong University of Science and Technology in China. Their work primarily lies within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, and Information Systems.

Their recent publications reflect a diverse research interest. Notable papers include:

  • "ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions" (2023) published in Computers in Human Behavior Artificial Humans
  • "Edge Intelligence: Empowering Intelligence to the Edge of Network" (2021) published in Proceedings of the IEEE
  • "Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing" (2020) published in IEEE Access
  • "Automatic mandibular canal detection using a deep convolutional neural network" (2020) published in Scientific Reports
  • "Edge Intelligence: Architectures, Challenges, and Applications" (2020) published in arXiv (Cornell University)

Pan Hui has collaborated frequently with several researchers, including Sasu Tarkoma, Tristan Braud, Lik-Hang Lee, Yong Li, and Pengyuan Zhou.

Their work has appeared often in these publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Access
  • IEEE Internet of Things Journal
  • Proceedings of the ACM on Human-Computer Interaction

The main research topics Pan Hui has focused on are:

  • Privacy-Preserving Technologies in Data
  • Human Mobility and Location-Based Analysis
  • Virtual Reality Applications and Impacts
  • IoT and Edge/Fog Computing
  • Caching and Content Delivery
  • Augmented Reality Applications
  • Interactive and Immersive Displays

Pan Hui is a recipient of several awards, including Member of Academia Europaea in 2019, IEEE Fellow in 2018 for contributions to social-based opportunistic networks, and ACM Distinguished Member in 2016.

Best Publications

  • BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks

    Pan Hui;J. Crowcroft;E. Yoneki

  • ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading

    Sokol Kosta;Andrius Aucinas;Pan Hui;Richard Mortier

  • Pocket switched networks and human mobility in conference environments

    Pan Hui;Augustin Chaintreau;James Scott;Richard Gass

  • All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda

    Lik-Hang Lee;Tristan Braud;Pengyuan Zhou;Lin Wang

  • Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms

    A. Chaintreau;P. Hui;J. Crowcroft;C. Diot

  • How Small Labels Create Big Improvements

    Pan Hui;J. Crowcroft

  • Mobile Data Offloading through Opportunistic Communications and Social Participation

    Bo Han;Pan Hui;V. S. A. Kumar;M. V. Marathe

  • Mobile Augmented Reality Survey: From Where We Are to Where We Go

    Dimitris Chatzopoulos;Carlos Bermejo;Zhanpeng Huang;Pan Hui

  • Distributed community detection in delay tolerant networks

    Pan Hui;Eiko Yoneki;Shu Yan Chan;Jon Crowcroft

  • Cellular Traffic Offloading through WiFi Networks

    Savio Dimatteo;Pan Hui;Bo Han;Victor O.K. Li

  • Towards real-time community detection in large networks.

    Ian X. Y. Leung;Pan Hui;Pietro Liò;Jon Crowcroft

  • Understanding user behavior in online social networks: a survey

    Long Jin;Yang Chen;Tianyi Wang;Pan Hui

  • Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding

    Augustin Chaintreau;Pan Hui;Jon Crowcroft;Christophe Diot

  • A socio-aware overlay for publish/subscribe communication in delay tolerant networks

    Eiko Yoneki;Pan Hui;ShuYan Chan;Jon Crowcroft

  • Cellular traffic offloading through opportunistic communications: a case study

    Bo Han;Pan Hui;V.S. Anil Kumar;Madhav V. Marathe

  • Haggle: A networking architecture designed around mobile users

    James Scott;Jon Crowcroft;Pan Hui;Christophe Diot

  • Social-aware D2D communications: qualitative insights and quantitative analysis

    Yong Li;Ting Wu;Pan Hui;Depeng Jin

  • CRAWDAD dataset cambridge/haggle (v.2009-05-29)

    James Scott;Richard Gass;Jon Crowcroft;Pan Hui

  • Haggle: seamless networking for mobile applications

    Jing Su;James Scott;Pan Hui;Jon Crowcroft

  • Mobile code offloading: from concept to practice and beyond

    Huber Flores;Pan Hui;Sasu Tarkoma;Yong Li

  • Impact of human mobility on opportunistic forwarding algorithms

    Augustin Chaintreau;Pan Hui;Jon Crowcroft;Christophe Diot

Frequent Co-Authors

Yong Li
Yong Li Tsinghua University
Jon Crowcroft
Jon Crowcroft University of Cambridge
Sasu Tarkoma
Sasu Tarkoma University of Helsinki
Depeng Jin
Depeng Jin Tsinghua University
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Michael Small
Michael Small University of Western Australia
James Scott
James Scott Microsoft (United States)
Antti Ylä-Jääski
Antti Ylä-Jääski Aalto University
Pietro Liò
Pietro Liò University of Cambridge
Ahmed Helmy
Ahmed Helmy University of North Carolina at Charlotte

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