World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7502
World Ranking
6914
National Ranking
3026

Pen-Chung Yew 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 Pen-Chung Yew 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: 306 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Pen-Chung Yew 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 Pen-Chung Yew 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: 46 D-Index — 53rd percentile

53% 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

  • 1998 - IEEE Fellow For contributions to the design of high-performance shared-memory multiprocessors and their parallelizing compilers.

Overview

Pen-Chung Yew is a researcher affiliated with the University of Minnesota in the United States. Their work primarily falls within the field of Computer Science, with a focus on subfields including Artificial Intelligence, Information Systems, Signal Processing, Hardware and Architecture, and Materials Chemistry.

The scientist's research addresses several main topics, notably:

  • Security and Verification in Computing
  • Advanced Malware Detection Techniques
  • Parallel Computing and Optimization Techniques
  • Diamond and Carbon-based Materials Research
  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Cloud Computing and Resource Management

Yew has contributed to multiple recent papers published in various venues, detailing advances in computing security and optimization. Notable recent publications include:

  • "Making Information Hiding Effective Again", 2021, IEEE Transactions on Dependable and Secure Computing
  • "Liberator: A Data Reuse Framework for Out-of-Memory Graph Computing on GPUs", 2023, IEEE Transactions on Parallel and Distributed Systems
  • "SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks", 2022, IEEE Transactions on Dependable and Secure Computing
  • "SpecWands: An Efficient Priority-Based Scheduler Against Speculation Contention Attacks", 2023, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "SPECWANDS: An Efficient Priority-based Scheduler Against Speculation Contention Attacks", 2023, arXiv (Cornell University)

Frequent co-authors collaborating with Yew include Wenwen Wang, Zhe Wang, Chenggang Wu, Yinqian Zhang, and Bowen Tang, each listed as contributing to multiple joint publications.

Publications have appeared regularly across several venues, most notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • SSRN Electronic Journal

In recognition of contributions to computing architecture and parallelization, Yew was named an IEEE Fellow in 1998. The citation specifically acknowledges their contributions to the design of high-performance shared-memory multiprocessors and their parallelizing compilers.

Best Publications

  • Distributing Hot-Spot Addressing in Large-Scale Multiprocessors

    Pen-Chung Yew;Nian-Feng Tzeng;Lawrie

  • PROCESSOR SELF-SCHEDULING FOR MULTIPLE-NESTED PARALLEL LOOPS.

    Peiyi Tang;Pen Chung Yew

  • The superthreaded processor architecture

    Jenn-Yuan Tsai;Jian Huang;C. Amlo;D.J. Lilja

  • The superthreaded architecture: thread pipelining with run-time data dependence checking and control speculation

    Jenn-Yuan Tsai;Pen-Chung Yew

  • An empirical study of Fortran programs for parallelizing compilers

    Z. Shen;Z. Li;P.-C. Yew

  • POLUS: A POwerful Live Updating System

    Haibo Chen;Jie Yu;Rong Chen;Binyu Zang

  • A Scheme to Enforce Data Dependence on Large Multiprocessor Systems

    Chuan-Qi Zhu;Pen-Chung Yew

  • Design and implementation of a lightweight dynamic optimization system

    Jiwei Lu;Howard Chen;Pen Chung Yew;Wei Chung Hsu

  • An efficient data dependence analysis for parallelizing compilers

    Z. Li;P.-C. Yew;C.-Q. Zhu

  • The performance of runtime data cache prefetching in a dynamic optimization system

    Jiwei Lu;Howard Chen;Rao Fu;Wei-Chung Hsu

  • Live updating operating systems using virtualization

    Haibo Chen;Rong Chen;Fengzhe Zhang;Binyu Zang

  • HQEMU: a multi-threaded and retargetable dynamic binary translator on multicores

    Ding-Yong Hong;Chun-Chen Hsu;Pen-Chung Yew;Jan-Jan Wu

  • Dynamic processor self-scheduling for general parallel nested loops

    Z. Fang;P. Tang;P.-C. Yew;C.-Q. Zhu

  • An efficient algorithm for the run-time parallelization of DOACROSS loops

    Ding Kai Chen;Josep Torrellas;Pen Chung Yew

  • The impact of synchronization and granularity on parallel systems

    Ding-Kai Chen;Hong-Men Su;Pen-Chung Yew

  • An Empirical Study on Array Subscripts and Data Dependencies.

    Zhiyu Shen;Zhiyuan Li;Pen Chung Yew

  • Managing shared last-level cache in a heterogeneous multicore processor

    Vineeth Mekkat;Anup Holey;Pen-Chung Yew;Antonia Zhai

  • On mitigating memory bandwidth contention through bandwidth-aware scheduling

    Di Xu;Chenggang Wu;Pen-Chung Yew

  • Interconnection Networks Using Shuffles

    P.-Y. Chen;D.H. Lawrie;P.-C. Yew;D.A. Padua

  • Data Dependence Profiling for Speculative Optimizations

    Tong Chen;Jin Lin;Xiaoru Dai;Wei-Chung Hsu

Frequent Co-Authors

David J. Lilja
David J. Lilja University of Minnesota
Haibo Chen
Haibo Chen Shanghai Jiao Tong University
Binyu Zang
Binyu Zang Shanghai Jiao Tong University
David J. Kuck
David J. Kuck University of Illinois at Urbana-Champaign
David Padua
David Padua University of Illinois at Urbana-Champaign
Rudolf Eigenmann
Rudolf Eigenmann University of Delaware
Edward S. Davidson
Edward S. Davidson University of Michigan–Ann Arbor
Jingling Xue
Jingling Xue University of New South Wales
Ahmed Sameh
Ahmed Sameh Purdue University West Lafayette
Kyle A. Gallivan
Kyle A. Gallivan Florida State University

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