World's Best Scientists 2026 revealed!
Ye-Kui Wang

Ye-Kui Wang

D-Index & Metrics

Computer Science

D-Index
47
Citations
8891
World Ranking
6492
National Ranking
866

Ye-Kui Wang 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 Ye-Kui Wang 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Ye-Kui Wang 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 Ye-Kui Wang 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

Ye-Kui Wang is affiliated with ByteDance in China and conducts research primarily within the field of Computer Science. Their work spans several specialized subfields, notably Computer Vision and Pattern Recognition, Signal Processing, and occasionally Sociology and Political Science.

The research topics covered in their publications include:

  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Advanced Vision and Imaging
  • Image and Video Quality Assessment
  • Speech and Audio Processing
  • Face Recognition and Analysis
  • Multimedia Communication and Technology

Ye-Kui Wang has published extensively in notable venues, with frequent contributions to:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • Proceedings of the IEEE

Recent papers authored by Ye-Kui Wang include the following:

  • "The High-Level Syntax of the Versatile Video Coding (VVC) Standard", 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Overview of the Versatile Video Coding (VVC) Standard and its Applications", 2021, IEEE Transactions on Circuits and Systems for Video Technology (authored by Benjamin Bross, coauthor)
  • "Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)", 2021, Proceedings of the IEEE (authored by Benjamin Bross, coauthor)
  • "An Overview of Omnidirectional MediA Format (OMAF)", 2021, Proceedings of the IEEE (authored by Miska M. Hannuksela, coauthor)
  • "Video Codec Using Flexible Block Partitioning and Advanced Prediction, Transform and Loop Filtering Technologies", 2020, IEEE Transactions on Circuits and Systems for Video Technology (authored by Kiho Choi, coauthor)

Collaboration plays a significant role in Ye-Kui Wang's research endeavors. Frequent coauthors include:

  • Gary J. Sullivan
  • Jianle Chen
  • Yiling Xu
  • Benjamin Bross
  • Jens-Rainer Ohm

Best Publications

  • Overview of the Versatile Video Coding (VVC) Standard and its Applications

    Benjamin Bross;Ye-Kui Wang;Yan Ye;Shan Liu

  • Overview of the Multiview and 3D Extensions of High Efficiency Video Coding

    Gerhard Tech;Ying Chen;Karsten Muller;Jens-Rainer Ohm

  • The error concealment feature in the H.26L test model

    Ye-Kui Wang;M.M. Hannuksela;V. Varsa;A. Hourunranta

  • Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)

    Benjamin Bross;Jianle Chen;Jens-Rainer Ohm;Gary J. Sullivan

  • Method and device for video coding and decoding

    Miska Matias Hannuksela;Ye-Kui Wang;Ying Chen

  • The emerging MVC standard for 3D video services

    Ying Chen;Ye-Kui Wang;Kemal Ugur;Miska M. Hannuksela

  • Overview of HEVC High-Level Syntax and Reference Picture Management

    R. Sjoberg;Ying Chen;A. Fujibayashi;M. M. Hannuksela

  • Intra Block Copy in HEVC Screen Content Coding Extensions

    Xiaozhong Xu;Shan Liu;Tzu-Der Chuang;Yu-Wen Huang

  • Multiple interoperability points for scalable media coding and transmission

    Miska Hannuksela;Ye-Kui Wang

  • Reference picture management in video coding

    Ye-Kui Wang;Miska Hannuksela

  • RTP Payload Format for SVC Video

    Stephan Wenger;Thomas Schierl;Ye-Kui Wang

  • System and method for implementing efficient decoded buffer management in multi-view video coding

    Ying Chen;Ye-Kui Wang;Miska Hannuksela

  • System and method for efficient scalable stream adaptation

    Ye-Kui Wang;Miska M. Hannuksela

  • Efficient decoded picture buffer management for scalable video coding

    Ye-Kui Wang;Miska Hannuksela;Stephan Wenger

  • System and Transport Interface of SVC

    Wang Ye-Kui;M.M. Hannuksela;S. Pateux;A. Eleftheriadis

  • Method and apparatus for processing a multi-view video bitstream and computer-readable medium

    Hannuksela Miska;Wang Ye-Kui

  • Video coding and decoding

    Miska Hannuksela;Ye-Kui Wang

  • Transport and Signaling of SVC in IP Networks

    S. Wenger;Ye-Kui Wang;T. Schierl

  • RTP payload format for H.264/SVC scalable video coding

    Stephan Wenger;Ye-kui Wang;Miska M. Hannuksela

  • Picture delimiter in scalable video coding

    Miska Hannuksela;Ye-Kui Wang

Frequent Co-Authors

Miska Hannuksela
Miska Hannuksela Nokia (Finland)
Moncef Gabbouj
Moncef Gabbouj Tampere University
Houqiang Li
Houqiang Li University of Science and Technology of China
Thomas Schierl
Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Chang Wen Chen
Chang Wen Chen Hong Kong Polytechnic University

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