World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4780
World Ranking
11762
National Ranking
4812

Kang-Won 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 Kang-Won 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Kang-Won 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 Kang-Won 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Kang-Won Lee is affiliated with IBM in the United States and conducts research primarily within the field of engineering. Their work spans several subfields, including computer networks and communications, automotive engineering, aerospace engineering, civil and structural engineering, and statistics, probability, and uncertainty.

Their recent publications cover a range of interdisciplinary topics and have appeared in diverse venues. Notable papers include:

  • "Analysis of Hydrogen Filling of 175 Liter Tank for Large-Sized Hydrogen Vehicle," 2022, Applied Sciences
  • "IDRM: Inter-Domain Routing Protocol for Mobile Ad Hoc Networks," 2021, CL Technical Reports
  • "Graph Learning BFT: A Design of Consensus System for Distributed Ledgers," 2020, IEEE Access
  • "Preliminary Hazard Analysis of Hydrogen Fuel Cell Hybrid Train," 2020, Journal of the Korean society for railway
  • "A new species of Zanclognatha Lederer and three new records of the families Erebidae and Noctuidae (Lepidoptera, Noctuoidea) from Korea, with notes on larval feeding habits," 2020, Journal of Forestry Research

Their publications have appeared frequently in venues such as the Journal of the Korean society for railway, Applied Sciences, IEEE Access, Journal of Forestry Research, and CL Technical Reports.

Research topics addressed by Kang-Won Lee include:

  • Engineering applied research
  • Combustion and detonation processes
  • Risk and safety analysis
  • Advanced battery technologies research
  • Hybrid renewable energy systems
  • Spacecraft and cryogenic technologies
  • Blockchain technology applications and security

Frequent collaborators working with Kang-Won Lee include Seok-Jin Na, Moo-Sun Kim, Hong-Kyu Jeon, Joon-Hyoung Ryu, and Sung Woong Choi, reflecting an interdisciplinary and collaborative approach to engineering research.

Best Publications

  • Application-aware virtual machine migration in data centers

    Vivek Shrivastava;Petros Zerfos;Kang-won Lee;Hani Jamjoom

  • The TIMELY adaptive resource management architecture

    V. Bharghavan;Kang-Won Lee;Songwu Lu;Sungwon Ha

  • An integrated source transcoding and congestion control paradigm for video streaming in the Internet

    R. Puri;Kang-Won Lee;K. Ramchandran;V. Bharghavan

  • Optimal bidding in spot instance market

    Yang Song;Murtaza Zafer;Kang-Won Lee

  • Internet robot detection for network distributable markup

    Seraphin B. Calo;Kang-won Lee;Kyoungsoo Park

  • Policy-based management of networked computing systems

    D. Agrawal;Kang-Won Lee;J. Lobo

  • Forward error correction (FEC) codes based multiple description coding for internet video streaming and multicast

    Rohit Puri;Kannan Ramchandran;Kang-Won Lee;Vaduvur Bharghavan

  • Adaptive server selection for large scale interactive online games

    Kang-Won Lee;Bong-Jun Ko;Seraphin Calo

  • Policy ratification

    D. Agrawal;J. Giles;Kang-Won Lee;J. Lobo

  • RelayCast: Scalable multicast routing in Delay Tolerant Networks

    U. Lee;Soon Young Oh;Kang-Won Lee;M. Gerla

  • Optimal Bids for Spot VMs in a Cloud for Deadline Constrained Jobs

    Murtaza Zafer;Yang Song;Kang-Won Lee

  • Securing web service by automatic robot detection

    KyoungSoo Park;Vivek S. Pai;Kang-Won Lee;Seraphin Calo

  • Adaptive Service in Mobile Computing Environments

    Songwu Lu;Kang-Won Lee;Vaduvur Bharghavan

  • Cross-layer path management in multi-path transport protocol for mobile devices

    Yeon-sup Lim;Yung-Chih Chen;Erich M. Nahum;Don Towsley

  • Minimum congestion mapping in a cloud

    Nikhil Bansal;Kang Won Lee;Viswanath Nagarajan;Murtaza Zafer

  • Network-aware virtual machine migration in datacenters

    Hani Jamjoom;Kang-won Lee;Vlivek V. Shrivastava;Petros Zerfos

  • Methods and apparatus for providing service differentiation in a shared storage environment

    Khalil Amiri;Seraphin Calo;Bong-Jun Ko;Kang-won Lee

  • Policy-based validation of SAN configuration

    D. Agrawal;J. Giles;Kang-Won Lee;K. Voruganti

  • An integrated source coding and congestion control framework for video streaming in the Internet

    Kang-Won Lee;R. Puri;Tae-eun Kim;K. Ramchandran

  • Dynamic graph query primitives for SDN-based cloudnetwork management

    Ramya Raghavendra;Jorge Lobo;Kang-Won Lee

Frequent Co-Authors

Dakshi Agrawal
Dakshi Agrawal IBM (United States)
Vaduvur Bharghavan
Vaduvur Bharghavan University of Illinois at Urbana-Champaign
Mario Gerla
Mario Gerla University of California, Los Angeles
Uichin Lee
Uichin Lee Korea Advanced Institute of Science and Technology
Sambit Sahu
Sambit Sahu IBM (United States)
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Kin K. Leung
Kin K. Leung Imperial College London
Chatschik Bisdikian
Chatschik Bisdikian IBM (United States)
Jon Crowcroft
Jon Crowcroft University of Cambridge
Songwu Lu
Songwu Lu University of California, Los Angeles

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