World's Best Scientists 2026 revealed!
Yen-Kuang Chen

Yen-Kuang Chen

D-Index & Metrics

Computer Science

D-Index
35
Citations
5287
World Ranking
11692
National Ranking
1444

Yen-Kuang Chen 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 Yen-Kuang Chen 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Yen-Kuang Chen 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 Yen-Kuang Chen 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.

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to algorithm-architecture co-design for multimedia signal processing

Overview

Yen-Kuang Chen is affiliated with Alibaba Group in China, contributing to research in areas spanning computer vision, artificial intelligence, and electronic engineering. Their recent work explores topics including advanced neural network applications, domain adaptation, few-shot learning, advanced sensor materials, machine learning methodologies, and data compression techniques.

Their recent papers include:

  • CHEX: CHannel EXploration for CNN Model Compression, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • MILAN: Masked Image Pretraining on Language Assisted Representation, 2022, arXiv (Cornell University)
  • Learning from the CNN-based Compressed Domain, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Atomic sulfur-bonded titanium carbide nanosheets for flexible piezoresistive sensor in monitoring sleep apnea syndrome, 2024, Matter
  • Learning in the Frequency Domain, 2020, arXiv (Cornell University)

Frequent co-authors in Chen's work include Amara Amara, Guoxing Wang, Yong Lian, Manuel Delgado-Restituto, and N Neihart.

Chen's publications often appear in venues such as:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Cancers

Their research is situated mainly within subfields including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, biomedical engineering, and cognitive neuroscience.

Specific research themes covered encompass:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Sensor and Energy Harvesting Materials
  • Machine Learning and ELM
  • Advanced Vision and Imaging
  • Lightning and Electromagnetic Phenomena
  • Advanced Data Compression Techniques

Chen's career includes recognition as an IEEE Fellow awarded in 2012 for contributions to algorithm-architecture co-design for multimedia signal processing.

Best Publications

  • Challenges and opportunities of internet of things

    Yen-Kuang Chen

  • Efficient implementation of sorting on multi-core SIMD CPU architecture

    Jatin Chhugani;Anthony D. Nguyen;Victor W. Lee;William Macy

  • The ALPBench benchmark suite for complex multimedia applications

    Man-Lap Li;R. Sasanka;S.V. Adve;Yen-Kuang Chen

  • Learning in the Frequency Domain

    Unknown

  • System for providing a multimedia peer-to-peer computing platform

    Matthew Holliman;Rainer Lienhart;Minerva Yeung;Yen-Kuang Chen

  • Integration of multimodal features for video scene classification based on HMM

    J. Huang;Z. Liu;Y. Wang;Y. Chen

  • Implementation of H.264 encoder and decoder on personal computers

    Yen-Kuang Chen;Eric Q. Li;Xiaosong Zhou;Steven Ge

  • Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications

    Yen-Kuang Chen;J. Chhugani;P. Dubey;C.J. Hughes

  • Implementation of H.264 decoder on general-purpose processors with media instructions

    Xiaosong Zhou;Eric Q. Li;Yen-Kuang Chen

  • On-Line Multi-View Video Summarization for Wireless Video Sensor Network

    Shun-Hsing Ou;Chia-Han Lee;V. Srinivasa Somayazulu;Yen-Kuang Chen

  • Cache-conscious frequent pattern mining on a modern processor

    Amol Ghoting;Gregory Buehrer;Srinivasan Parthasarathy;Daehyun Kim

  • Towards efficient multi-level threading of H.264 encoder on Intel hyper-threading architectures

    Yen-Kuang Chen;X. Tian;Steven Ge;M. Girkar

  • Vector instructions to enable efficient synchronization and parallel reduction operations

    Mikhail Smelyanskiy;Sanjeev Kumar;Daehyun Kim;Jatin Chhugani

  • The energy efficiency of CMP vs. SMT for multimedia workloads

    Ruchira Sasanka;Sarita V. Adve;Yen-Kuang Chen;Eric Debes

  • Frame-rate up-conversion using transmitted true motion vectors

    Yen-Kuang Chen;A. Vetro;Huifang Sun;S.Y. Kung

  • Fast multi-frame motion estimation algorithm with adaptive search strategies in H.264

    Xiang Li;E.Q. Li;Yen-Kuang Chen

  • Gathering and Scattering Multiple Data Elements

    Christopher J. Hughes;Yen-Kuang Chen;Mayank Bomb;Jason W. Brandt

  • Adaptive Parallel Graph Mining for CMP Architectures

    Gregory Buehrer;Srinivasan Parthasarathy;Yen-kuang Chen

  • Improving media services on P2P networks

    R. Lienhart;M. Holliman;Yen-Kuang Chen;I. Kozintsev

  • Parallel scalability in speech recognition

    Kisun You;Jike Chong;Youngmin Yi;E. Gonina

  • Memory Performance and Scalability of Intel's and AMD's Dual-Core Processors: A Case Study

    Lu Peng;Jih-Kwon Peir;T.K. Prakash;Yen-Kuang Chen

Frequent Co-Authors

Changkyu Kim
Changkyu Kim Facebook (United States)
Minerva M. Yeung
Minerva M. Yeung Institute of Electrical and Electronics Engineers
Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Rainer Lienhart
Rainer Lienhart University of Augsburg
Pradeep Dubey
Pradeep Dubey Intel (United States)
Sarita V. Adve
Sarita V. Adve University of Illinois at Urbana-Champaign
Sun-Yuan Kung
Sun-Yuan Kung Princeton University
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)

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