World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9110
World Ranking
5396
National Ranking
720

Edwin H.-M. Sha 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 Edwin H.-M. Sha 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: 489 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Edwin H.-M. Sha 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 Edwin H.-M. Sha 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Edwin H.-M. Sha is affiliated with East China Normal University in China and has an extensive body of research primarily situated within computer science and engineering. Their research encompasses a broad array of topics and fields of study that integrate advanced technologies and optimization techniques in computing and memory systems.

The main fields of study for Edwin H.-M. Sha include Computer Science and Engineering. Within these fields, the subfields addressed are Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, and Information Systems.

The research topics explored by Edwin H.-M. Sha cover:

  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Caching and Content Delivery
  • Error Correcting Code Techniques
  • Ferroelectric and Negative Capacitance Devices
  • Interconnection Networks and Systems

The scientist has published frequently in several established venues, including:

  • Journal of Systems Architecture
  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • Applied Sciences

Notable recent papers authored or coauthored by Edwin H.-M. Sha are:

  • Hardware/Software Co-Exploration of Neural Architectures, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • Tail Latency Optimization for LDPC-Based High-Density and Low-Cost Flash Memory Devices, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Optimizing Data Placement for Hybrid SRAM+Racetrack Memory SPM in Embedded Systems, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IOSR: Improving I/O Efficiency for Memory Swapping on Mobile Devices Via Scheduling and Reshaping, 2023, ACM Transactions on Embedded Computing Systems

Frequent coauthors collaborating with Edwin H.-M. Sha include Qingfeng Zhuge, Rui Xu, Yuhong Song, Liang Shi, and Shouzhen Gu.

Best Publications

  • A novel multiplexer-based low-power full adder

    Yingtao Jiang;A. Al-Sheraidah;Yuke Wang;E. Sha

  • Rotation scheduling: a loop pipelining algorithm

    Liang-Fang Chao;A.S. LaPaugh;E.H.-M. Sha

  • Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems

    Meikang Qiu;Edwin H. M. Sha

  • Trust prediction and trust-based source routing in mobile ad hoc networks

    Hui Xia;Zhiping Jia;Xin Li;Lei Ju

  • crowddeliver : Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis

    Chao Chen;Daqing Zhang;Xiaojuan Ma;Bin Guo

  • Reducing write activities on non-volatile memories in embedded CMPs via data migration and recomputation

    Jingtong Hu;Chun Jason Xue;Wei-Che Tseng;Yi He

  • Hardware/Software Co-Exploration of Neural Architectures

    Weiwen Jiang;Lei Yang;Edwin Hsing-Mean Sha;Qingfeng Zhuge

  • Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP

    Meikang Qiu;Zhiping Jia;Chun Xue;Zili Shao

  • Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

    Weiwen Jiang;Xinyi Zhang;Edwin H.-M. Sha;Lei Yang

  • Dynamic and Leakage Energy Minimization With Soft Real-Time Loop Scheduling and Voltage Assignment

    Meikang Qiu;L.T. Yang;Zili Shao;E.H.-M. Sha

  • Loop scheduling and bank type assignment for heterogeneous multi-bank memory

    Meikang Qiu;Minyi Guo;Meiqin Liu;Chun Jason Xue

  • Security protection and checking for embedded system integration against buffer overflow attacks via hardware/software

    Zili Shao;C. Xue;Q. Zhuge;M. Qiu

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

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

  • Energy minimization with loop fusion and multi-functional-unit scheduling for multidimensional DSP

    Meikang Qiu;Edwin H. M. Sha;Meilin Liu;Man Lin

  • Scheduling Data-Flow Graphs via Retiming and Unfolding

    Unknown

  • Towards energy efficient hybrid on-chip Scratch Pad Memory with non-volatile memory

    Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng

  • Real-Time Dynamic Voltage Loop Scheduling for Multi-Core Embedded Systems

    Zili Shao;Meng Wang;Ying Chen;Chun Xue

  • Heterogeneous real-time embedded software optimization considering hardware platform

    Meikang Qiu;Hao Li;Edwin H.-M. Sha

  • Data Placement and Duplication for Embedded Multicore Systems With Scratch Pad Memory

    Yibo Guo;Qingfeng Zhuge;Jingtong Hu;Juan Yi

  • A hierarchical reliability-driven scheduling algorithm in grid systems

    Xiaoyong Tang;Kenli Li;Meikang Qiu;Edwin H. M. Sha

  • Static scheduling for synthesis of DSP algorithms on various models

    Liang-Fang Chao;Edwin Hsing-Mean Sha

  • Pursuing a petaflop: point designs for 100 TF computers using PIM technologies

    P.M. Kogge;S.C. Bass;J.B. Brockman;D.Z. Chen

  • A Novel Energy-Aware Fault Tolerance Mechanism for Wireless Sensor Networks

    Meikang Qiu;Jianning Liu;Jiayin Li;Zongming Fei

Frequent Co-Authors

Zili Shao
Zili Shao Chinese University of Hong Kong
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Meikang Qiu
Meikang Qiu Augusta University
Jingtong Hu
Jingtong Hu University of Pittsburgh
Bin Xiao
Bin Xiao Hong Kong Polytechnic University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Kenneth Steiglitz
Kenneth Steiglitz Princeton University
Victor C. S. Lee
Victor C. S. Lee University of Hong Kong
Sang H. Son
Sang H. Son University of Virginia

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