World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10072
World Ranking
6436
National Ranking
52

Tei-Wei Kuo 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 Tei-Wei Kuo 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: 451 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Tei-Wei Kuo 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 Tei-Wei Kuo 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.

Research.com Recognitions

  • 2018 - Fellow, National Academy of Inventors
  • 2015 - ACM Fellow For contributions to performance and reliability enhancement of flash-memory storage systems.
  • 2011 - IEEE Fellow For contributions to real-time embedded systems and flash-memory storage systems

Overview

Tei-Wei Kuo is affiliated with National Taiwan University in Taiwan and conducts research primarily in the field of Computer Science. Their work spans numerous subfields, including Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, and Computer Vision and Pattern Recognition.

The main topics covered in their research include Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Caching and Content Delivery, Advanced Memory and Neural Computing, Cloud Computing and Resource Management, Data Management and Algorithms, and Energy Harvesting in Wireless Networks.

They have published extensively, with their frequent publication venues including:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • arXiv (Cornell University)
  • ACM Transactions on Embedded Computing Systems
  • IEEE Transactions on Computers
  • Proceedings of the ACM Web Conference 2022

Significant recent papers authored or coauthored by Tei-Wei Kuo include:

  • "Inspection and Characterization of App File Usage in Mobile Devices," 2020, ACM Transactions on Storage
  • "NFL," 2022, Proceedings of the VLDB Endowment
  • "A 512Gb In-Memory-Computing 3D-NAND Flash Supporting Similar-Vector-Matching Operations on Edge-AI Devices," 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • "TRACE: A Fast Transformer-based General-Purpose Lossless Compressor," 2022, Proceedings of the ACM Web Conference 2022
  • "Joint Management of CPU and NVDIMM for Breaking Down the Great Memory Wall," 2020, IEEE Transactions on Computers

Their collaborations involve frequent coauthors including Chun Jason Xue, Yuan-Hao Chang, Chun-Feng Wu, Yufei Cui, and Qiao Li.

Tei-Wei Kuo has been recognized as a Fellow by several organizations, including the National Academy of Inventors in 2018, the Association for Computing Machinery (ACM) in 2015 for contributions to performance and reliability enhancement of flash-memory storage systems, and the Institute of Electrical and Electronics Engineers (IEEE) in 2011 for contributions to real-time embedded systems and flash-memory storage systems.

Best Publications

  • An adaptive striping architecture for flash memory storage systems of embedded systems

    Li-Pin Chang;Tei-Wei Kuo

  • Real-time garbage collection for flash-memory storage systems of real-time embedded systems

    Li-Pin Chang;Tei-Wei Kuo;Shi-Wu Lo

  • Endurance enhancement of flash-memory storage systems: an efficient static wear leveling design

    Yuan-Hao Chang;Jen-Wei Hsieh;Tei-Wei Kuo

  • An Efficient B-Tree Layer for Flash-Memory Storage Systems

    Chin Hsien Wu;Li-Pin Chang;Tei Wei Kuo

  • Efficient identification of hot data for flash memory storage systems

    Jen-Wei Hsieh;Tei-Wei Kuo;Li-Pin Chang

  • Load adjustment in adaptive real-time systems

    T.-W. Kuo;A.K. Mok

  • An efficient B-tree layer implementation for flash-memory storage systems

    Chin-Hsien Wu;Tei-Wei Kuo;Li Ping Chang

  • A fixed-priority-driven open environment for real-time applications

    Tei-Wei Kuo;Ching-Hui Li

  • Efficient management for large-scale flash-memory storage systems with resource conservation

    Li-Pin Chang;Tei-Wei Kuo

  • An Approximation Algorithm for Energy-Efficient Scheduling on A Chip Multiprocessor

    Chuan-Yue Yang;Jian-Jia Chen;Tei-Wei Kuo

  • Leakage-Aware Energy-Efficient Scheduling of Real-Time Tasks in Multiprocessor Systems

    Jian-Jia Chen;Heng-Ruey Hsu;Tei-Wei Kuo

  • SSP: A semantics-based protocol for real-time data access

    T.-W. Kuo;A.K. Mok

  • Improving Flash Wear-Leveling by Proactively Moving Static Data

    Yuan-Hao Chang;Jen-Wei Hsieh;Tei-Wei Kuo

  • An adaptive two-level management for the flash translation layer in embedded systems

    Chin-Hsien Wu;Tei-Wei Kuo

  • An efficient management scheme for large-scale flash-memory storage systems

    Li-Pin Chang;Tei-Wei Kuo

  • Procrastination determination for periodic real-time tasks in leakage-aware dynamic voltage scaling systems

    Jian-Jia Chen;Tei-Wei Kuo

  • An efficient R-tree implementation over flash-memory storage systems

    Chin-Hsien Wu;Li-Pin Chang;Tei-Wei Kuo

  • A file-system-aware FTL design for flash-memory storage systems

    Po-Liang Wu;Yuan-Hao Chang;Tei-Wei Kuo

  • Multiprocessor energy-efficient scheduling with task migration considerations

    Jian-Jia Chen;Heng-Ruey Hsu;Kai-Hsiang Chuang;Chia-Lin Yang

  • Designing CPS/IoT applications for smart buildings and cities

    Chi-Sheng Shih;Jyun-Jhe Chou;Niels Reijers;Tei-Wei Kuo

  • RTSS 2007: Preface

    Tarek Abdelzaher;Gerhard Fohler;Tei Wei Kuo

Frequent Co-Authors

Jian-Jia Chen
Jian-Jia Chen TU Dortmund University
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Chia-Lin Yang
Chia-Lin Yang National Taiwan University
Giorgio Buttazzo
Giorgio Buttazzo Sant'Anna School of Advanced Studies
Aloysius K. Mok
Aloysius K. Mok The University of Texas at Austin
David H. C. Du
David H. C. Du University of Minnesota
Victor C. S. Lee
Victor C. S. Lee University of Hong Kong
Lothar Thiele
Lothar Thiele ETH Zurich
Kwei-Jay Lin
Kwei-Jay Lin University of California, Irvine
Xue Liu
Xue Liu McGill University

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