World's Best Scientists 2026 revealed!
Victor C. S. Lee

Victor C. S. Lee

D-Index & Metrics

Computer Science

D-Index
36
Citations
5248
World Ranking
11297
National Ranking
1385

Victor C. S. Lee 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 Victor C. S. Lee 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Victor C. S. Lee 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 Victor C. S. Lee 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Victor C. S. Lee is affiliated with the University of Hong Kong in China. Their research encompasses fields in Computer Science and Engineering, with a particular focus on areas such as Computer Networks and Communications, Artificial Intelligence, Automotive Engineering, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

Research topics covered by Victor C. S. Lee include Optimization and Search Problems, Transportation and Mobility Innovations, Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, Vehicular Ad Hoc Networks (VANETs), Complexity and Algorithms in Graphs, and Advanced Neural Network Applications.

The scientist has published multiple papers, with recent notable works including:

  • Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs (2020) published in IEEE Transactions on Mobile Computing
  • Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks (2020) published in IEEE Transactions on Vehicular Technology
  • Adaptive Offloading for Time-Critical Tasks in Heterogeneous Internet of Vehicles (2020) published in IEEE Internet of Things Journal
  • Accelerating DNN Inference With Reliability Guarantee in Vehicular Edge Computing (2023) published in IEEE/ACM Transactions on Networking
  • A Cooperative Vehicle Localization and Trajectory Prediction Framework Based on Belief Propagation and Transformer Model (2024) published in IEEE Transactions on Consumer Electronics

Frequent coauthors collaborating with Victor C. S. Lee include Kai Liu, Songhua Li, Minming Li, Lingjie Duan, and Chunhui Liu.

The scientist's work has appeared often in the following publication venues:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Vehicular Technology
  • IEEE/ACM Transactions on Networking

Best Publications

  • Learning motivation in e-learning facilitated computer programming courses

    Kris M. Y. Law;Victor C. S. Lee;Y. T. Yu

  • Cooperative data scheduling in hybrid vehicular ad hoc networks: VANET as a software defined network

    Kai Liu;Joseph K. Y. Ng;Victor C. S. Lee;Sang H. Son

  • Improving Positioning Accuracy Using GPS Pseudorange Measurements for Cooperative Vehicular Localization

    Kai Liu;Hock Beng Lim;Emilio Frazzoli;Houling Ji

  • CB-Planner: A bus line planning framework for customized bus systems

    Yan Lyu;Chi Yin Chow;Victor C.S. Lee;Joseph K Y Ng

  • Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction

    Xiao Zhang;Xiao Zhang;Enrique Onieva;Asier Perallos;Eneko Osaba

  • Distance indexing on road networks

    Haibo Hu;Dik Lun Lee;Victor C. S. Lee

  • CosmoFlow: Using Deep Learning to Learn the Universe at Scale

    Unknown

  • A highway-centric labeling approach for answering distance queries on large sparse graphs

    Ruoming Jin;Ning Ruan;Yang Xiang;Victor Lee

  • Intrusion detection in real-time database systems via time signatures

    V.C.S. Lee;J.A. Stankovic;S.H. Son

  • Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks

    Penglin Dai;Kai Liu;Qingfeng Zhuge;Edwin H.-M. Sha

  • A Hierarchical Architecture for the Future Internet of Vehicles

    Kai Liu;Xincao Xu;Mengliang Chen;Bingyi Liu

  • Network-Coding-Assisted Data Dissemination via Cooperative Vehicle-to-Vehicle/-Infrastructure Communications

    Kai Liu;Joseph Kee-Yin Ng;Junhua Wang;Victor C. S. Lee

  • Implications of I/O for Gang Scheduled Workloads

    Walter Lee;Matthew Frank;Victor Lee;Kenneth Mackenzie

  • TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines

    Ran Wang;Chi-Yin Chow;Yan Lyu;Victor C. S. Lee

  • Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs

    Kai Liu;Ke Xiao;Penglin Dai;Victor C.S. Lee

  • Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation

    Kai Liu;Hao Zhang;Joseph Kee-Yin Ng;Yusheng Xia

  • On transaction processing with partial validation and timestamp ordering in mobile broadcast environments

    V.C.S. Lee;Kwok-Wa Lam;S.H. Son;E.Y.M. Chan

  • Temporal data dissemination in vehicular cyber-physical systems

    Kai Liu;Victor Chung Sing Lee;Joseph Kee-Yin Ng;Jun Chen

  • Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks

    Penglin Dai;Zihua Hang;Kai Liu;Xiao Wu

  • Coding-Based Data Broadcast Scheduling in On-Demand Broadcast

    Cheng Zhan;V. C. S. Lee;Jianping Wang;Yinlong Xu

  • Adaptive Offloading for Time-Critical Tasks in Heterogeneous Internet of Vehicles

    Chunhui Liu;Kai Liu;Songtao Guo;Ruitao Xie

  • Guest Editors' Introduction: Emerging Internet Technologies for E-Learning

    Qing Li;Rynson W.H. Lau;Benjamin W. Wah;Helen Ashman

  • Scheduling real-time requests in on-demand data broadcast environments

    Victor C. Lee;Xiao Wu;Joseph Kee-Yin Ng

  • RSU-based real-time data access in dynamic vehicular networks

    Kai Liu;Victor C.S. Lee

  • Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05): Foreword

    Joseph K. Ng;Lui Raymond Sha;Victor C S Lee;Kazunori Takashio

Frequent Co-Authors

Sang H. Son
Sang H. Son University of Virginia
Chi-Yin Chow
Chi-Yin Chow City University of Hong Kong
Liang Feng
Liang Feng Chongqing University
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Songtao Guo
Songtao Guo Chongqing University
Enhong Chen
Enhong Chen University of Science and Technology of China
Ben Kao
Ben Kao University of Hong Kong
Lingjie Duan
Lingjie Duan Singapore University of Technology and Design
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Jun Chen
Jun Chen Nankai University

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