World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7752
World Ranking
6569
National Ranking
2905

Hsien-Hsin S. Lee 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 Hsien-Hsin S. Lee 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Hsien-Hsin S. Lee 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 Hsien-Hsin S. Lee 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

  • 2017 - IEEE Fellow For contributions to 3D integrated circuits and computer architecture
  • 2009 - ACM Senior Member

Overview

Hsien-Hsin S. Lee is affiliated with Intel in the United States and has produced a significant volume of research primarily within the fields of Computer Science and Engineering.

Their work spans several focused subfields, including:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Computer Vision and Pattern Recognition

Research topics frequently addressed by this scientist include:

  • Advanced Memory and Neural Computing
  • Green IT and Sustainability
  • Privacy-Preserving Technologies in Data
  • Ferroelectric and Negative Capacitance Devices
  • Caching and Content Delivery
  • Mobile Crowdsensing and Crowdsourcing
  • Stochastic Gradient Optimization Techniques

Hsien-Hsin S. Lee's scholarship has been published predominantly in IEEE Micro and arXiv (Cornell University), with additional contributions in Nano Energy and ACS Applied Electronic Materials. Specific papers from recent years include:

  • "Sustainable AI: Environmental Implications, Challenges and Opportunities," 2021, arXiv (Cornell University)
  • "Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM," 2021, IEEE Micro
  • "Chasing Carbon: The Elusive Environmental Footprint of Computing," 2022, IEEE Micro
  • "DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference," 2020, arXiv (Cornell University)
  • "Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications," 2023, IEEE Micro

Frequent collaborators include Udit Gupta, Carole-Jean Wu, Gu-Yeon Wei, David J. Brooks, and Kiwan Maeng.

Recognition in the professional community includes designation as an IEEE Fellow in 2017 for contributions to 3D integrated circuits and computer architecture and as an ACM Senior Member since 2009.

Best Publications

  • Test Challenges for 3D Integrated Circuits

    H.-H.S. Lee;K. Chakrabarty

  • An optimized 3D-stacked memory architecture by exploiting excessive, high-density TSV bandwidth

    Dong Hyuk Woo;Nak Hee Seong;Dean L. Lewis;Hsien-Hsin S. Lee

  • Sustainable AI: Environmental Implications, Challenges and Opportunities.

    Carole-Jean Wu;Ramya Raghavendra;Udit Gupta;Bilge Acun

  • Extending Amdahl's Law for Energy-Efficient Computing in the Many-Core Era

    Dong Hyuk Woo;H.-H.S. Lee

  • Security refresh: prevent malicious wear-out and increase durability for phase-change memory with dynamically randomized address mapping

    Nak Hee Seong;Dong Hyuk Woo;Hsien-Hsin S. Lee

  • Smart Refresh: An Enhanced Memory Controller Design for Reducing Energy in Conventional and 3D Die-Stacked DRAMs

    Mrinmoy Ghosh;Hsien-Hsin S. Lee

  • Adaptive transaction scheduling for transactional memory systems

    Richard M. Yoo;Hsien-Hsin S. Lee

  • Parasitic capacitance extraction for FinFETs

    Chia-Ming Ho;Ke-Ying Su;Hsiao-Shu Chao;Yi-Kan Cheng

  • Chasing Carbon: The Elusive Environmental Footprint of Computing

    Udit Gupta;Young Geun Kim;Sylvia Lee;Jordan Tse

  • The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

    Udit Gupta;Carole-Jean Wu;Xiaodong Wang;Maxim Naumov

  • SAFER: Stuck-At-Fault Error Recovery for Memories

    Nak Hee Seong;Dong Hyuk Woo;Vijayalakshmi Srinivasan;Jude A. Rivers

  • 3D-MAPS: 3D Massively parallel processor with stacked memory

    Dae Hyun Kim;Krit Athikulwongse;Michael Healy;Mohammad Hossain

  • RecNMP: accelerating personalized recommendation with near-memory processing

    Liu Ke;Udit Gupta;Benjamin Youngjae Cho;David Brooks

  • Eager writeback - a technique for improving bandwidth utilization

    Hsien-Hsin S. Lee;Gary S. Tyson;Matthew K. Farrens

  • DeepRecSys: a system for optimizing end-to-end at-scale neural recommendation inference

    Udit Gupta;Samuel Hsia;Vikram Saraph;Xiaodong Wang

  • High Efficiency Counter Mode Security Architecture via Prediction and Precomputation

    Weidong Shi;Hsien-Hsin S. Lee;Mrinmoy Ghosh;Chenghuai Lu

  • A scanisland based design enabling prebond testability in die-stacked microprocessors

    D.L. Lewis;H.-H.S. Lee

  • Multiobjective Microarchitectural Floorplanning for 2-D and 3-D ICs

    M. Healy;M. Vittes;M. Ekpanyapong;C.S. Ballapuram

  • SODA: A High-Performance DSP Architecture for Software-Defined Radio

    Y. Lin;H. Lee;M. Woh;Y. Harel

  • Eager writeback-a technique for improving bandwidth utilization

    Unknown

  • Architectural evaluation of 3D stacked RRAM caches

    Dean L. Lewis;Hsien-Hsin S. Lee

  • The Architectural Implications of Facebook's DNN-based Personalized Recommendation

    Udit Gupta;Carole-Jean Wu;Xiaodong Wang;Maxim Naumov

Frequent Co-Authors

Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology
Weidong Shi
Weidong Shi Jiangsu University
David Brooks
David Brooks Harvard University
Carole-Jean Wu
Carole-Jean Wu Meta Platforms, Inc.
Gu-Yeon Wei
Gu-Yeon Wei Harvard University
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Gabriel H. Loh
Gabriel H. Loh Advanced Micro Devices (United States)
Kim Hazelwood
Kim Hazelwood Facebook (United States)
Marek Chrobak
Marek Chrobak University of California, Riverside
Youtao Zhang
Youtao Zhang University of Pittsburgh

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science opens doors to a variety of online degrees and rewarding career pathways in the USA. Many students look beyond traditional Computer Science programs to find flexible, high-demand specializations.

For those interested in analytics and big data, data science degrees are in high demand. These programs combine technical computing with practical insights, and many affordable options are now available online.

Technology and engineering students may also consider the online electrical engineering degree ranking to research top programs. This pathway often overlaps with computer science, especially in areas like hardware and embedded systems.

If you’re looking for a quicker way to boost your credentials, there are numerous quick certifications that pay well in technology fields. These short programs are great if you want faster entry or advancement without a full degree commitment.

Finally, working professionals may consider the quickest masters degree online for a rapid upskill. These programs can be completed in a year or less, offering advanced knowledge and career growth.

Best Scientists Citing Hsien-Hsin S. Lee

Trending Scientists

Recently Published Articles