World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9129
World Ranking
9577
National Ranking
4057

Hong Wang 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 Hong Wang 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Hong Wang 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 Hong Wang 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Hong Wang is a researcher affiliated with Intel in the United States whose work primarily spans the field of engineering. Their publications focus predominantly on electrical and electronic engineering, with additional contributions to biomedical engineering, materials chemistry, and neuroscience-related subfields.

The scope of Hong Wang's research includes topics such as advanced memory and neural computing, advanced sensor and energy harvesting materials, ferroelectric and negative capacitance devices, photoreceptor and optogenetics research, neuroscience and neural engineering, neural networks and reservoir computing, as well as neural dynamics and brain function.

Frequent co-authors collaborating with Hong Wang include:

  • Xiaohua Ma
  • Rui Wang
  • Bowen Zhu
  • Dingwei Li
  • Yaxiong Cao

Hong Wang has published extensively in various scientific journals. Notable publication venues include:

  • IEEE Electron Device Letters
  • Applied Physics Letters
  • IEEE Transactions on Electron Devices
  • SSRN Electronic Journal
  • Advanced Electronic Materials

Representative recent papers by Hong Wang include:

  • Asymmetric Trilayer All-Polymer Dielectric Composites with Simultaneous High Efficiency and High Energy Density: A Novel Design Targeting Advanced Energy Storage Capacitors (2021), Advanced Functional Materials
  • Fully Printed Optoelectronic Synaptic Transistors Based on Quantum Dot-Metal Oxide Semiconductor Heterojunctions (2022), ACS Nano
  • A Skin-Inspired Artificial Mechanoreceptor for Tactile Enhancement and Integration (2021), ACS Nano
  • Spike Encoding with Optic Sensory Neurons Enable a Pulse Coupled Neural Network for Ultraviolet Image Segmentation (2020), Nano Letters
  • A Pure 2H-MoS2 Nanosheet-Based Memristor with Low Power Consumption and Linear Multilevel Storage for Artificial Synapse Emulator (2020), Advanced Electronic Materials

Best Publications

  • Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

    Mike Davies;Narayan Srinivasa;Tsung-Han Lin;Gautham Chinya

  • Speculative precomputation: long-range prefetching of delinquent loads

    Jamison D. Collins;Hong Wang;Dean M. Tullsen;Christopher Hughes

  • Merge: a programming model for heterogeneous multi-core systems

    Michael D. Linderman;Jamison D. Collins;Hong Wang;Teresa H. Meng

  • Dynamic speculative precomputation

    Jamison D. Collins;Dean M. Tullsen;Hong Wang;John P. Shen

  • System To Profile And Optimize User Software In A Managed Run-Time Environment

    Chris J. Newburn;Robert P. Knight;Robert Y. Geva;Dion Rodgers

  • Profiling using a user-level control mechanism

    Chris Newburn;Hong Wang;Xiang Zou;Robert Knight

  • EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system

    Perry H. Wang;Jamison D. Collins;Gautham N. Chinya;Hong Jiang

  • Best of both latency and throughput

    E. Grochowski;R. Ronen;J. Shen;Hong Wang

  • Post-pass binary adaptation for software-based speculative precomputation

    Steve S.W. Liao;Perry H. Wang;Hong Wang;Gerolf Hoflehner

  • Physical experimentation with prefetching helper threads on Intel's hyper-threaded processors

    D. Kim;S.S.-W. Liao;P.H. Wang;J. del Cuvillo

  • Programming Spiking Neural Networks on Intel’s Loihi

    Chit-Kwan Lin;Andreas Wild;Gautham N. Chinya;Yongqiang Cao

  • Programmable event driven yield mechanism which may activate other threads

    Hong Wang;Per Hammarlund;Xiang Zou;John P. Shen

  • Caching DAG traces

    Hong Wang;Neil Chazin;Christopher Hughes;Ralph Kling

  • CPR: Composable performance regression for scalable multiprocessor models

    Benjamin C. Lee;Jamison Collins;Hong Wang;David Brooks

  • Method and apparatus for affinity-guided speculative helper threads in chip multiprocessors

    Hong Wang;Perry H. Wang;Jeffery A. Brown;Per Hammarlund

  • Intel nehalem processor core made FPGA synthesizable

    Graham Schelle;Jamison Collins;Ethan Schuchman;Perrry Wang

  • Mechanism for instruction set based thread execution on a plurality of instruction sequencers

    Hong Wang;John Shen;Ed Grochowski;James Paul Held

  • Compiler and Runtime for Heterogeneous Multiprocessor Systems

    Michael D. Linderman;Jamison D. Collins;Perry Wang;Hong Wang

  • Method and apparatus for compiler-generated triggering of auxiliary codes

    Daniel Lavery;Hong Wang;Gerolf Hoflehner;Shih-Wei Liao

  • Pangaea: a tightly-coupled IA32 heterogeneous chip multiprocessor

    Henry Wong;Anne Bracy;Ethan Schuchman;Tor M. Aamodt

Frequent Co-Authors

John Paul Shen
John Paul Shen Carnegie Mellon University
Tanay Karnik
Tanay Karnik Intel (United States)
Tor M. Aamodt
Tor M. Aamodt University of British Columbia
Ian A. Young
Ian A. Young Intel (United States)
Murali Annavaram
Murali Annavaram University of Southern California
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Sasikanth Manipatruni
Sasikanth Manipatruni Intel (United States)
Antonio Gonzalez
Antonio Gonzalez Universitat Politècnica de Catalunya
Konrad K. Lai
Konrad K. Lai Intel (United States)

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