World's Best Scientists 2026 revealed!
Guangyu Sun

Guangyu Sun

D-Index & Metrics

Computer Science

D-Index
39
Citations
9255
World Ranking
9571
National Ranking
1211

Guangyu Sun 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 Guangyu Sun 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Guangyu Sun 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 Guangyu Sun 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

Guangyu Sun is affiliated with Peking University in China and has contributed extensively to the fields of computer science and engineering. Their research spans multiple subfields including artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, hardware and architecture, and computer networks and communications.

The scientist's work covers a variety of advanced topics such as advanced neural network applications, advanced memory and neural computing, ferroelectric and negative capacitance devices, parallel computing and optimization techniques, advanced image and video retrieval techniques, adversarial robustness in machine learning, and advanced graph neural networks.

Guangyu Sun has authored several papers, some of which include:

  • The Case for FPGA-Based Edge Computing, 2020, IEEE Transactions on Mobile Computing
  • Ultra-Short-Term Photovoltaic Power Prediction Based on Self-Attention Mechanism and Multi-Task Learning, 2020, IEEE Access
  • Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Single-cell analysis of gastric signet ring cell carcinoma reveals cytological and immune microenvironment features, 2023, Nature Communications
  • An 82nW 0.53pJ/SOP Clock-Free Spiking Neural Network with 40µs Latency for AloT Wake-Up Functions Using Ultimate-Event-Driven Bionic Architecture and Computing-in-Memory Technique, 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)

Frequent co-authors collaborating with Guangyu Sun include Zhihang Yuan, Chenhao Xue, Bingzhe Wu, Yiqi Chen, and Guojie Luo.

The scientist's research has appeared in numerous publication venues, with repeat contributions in:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Computers
  • Journal of Computer Science and Technology
  • Research Square (Research Square)

The distribution of Guangyu Sun's work shows an emphasis on both theoretical and applied aspects of computer science and engineering fields with a significant focus on neural networks, hardware acceleration, and computational intelligence.

Best Publications

  • Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

    Chen Zhang;Peng Li;Guangyu Sun;Yijin Guan

  • Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

    Chen Zhang;Guangyu Sun;Zhenman Fang;Peipei Zhou

  • A novel architecture of the 3D stacked MRAM L2 cache for CMPs

    Guangyu Sun;Xiangyu Dong;Yuan Xie;Jian Li

  • Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement

    Xiangyu Dong;Xiaoxia Wu;Guangyu Sun;Yuan Xie

  • FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates

    Yijin Guan;Hao Liang;Ningyi Xu;Wenqiang Wang

  • An efficient design and implementation of LSM-tree based key-value store on open-channel SSD

    Peng Wang;Guangyu Sun;Song Jiang;Jian Ouyang

  • Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster

    Chen Zhang;Di Wu;Jiayu Sun;Guangyu Sun

  • Emerging non-volatile memories: opportunities and challenges

    Chun Jason Xue;Guangyu Sun;Youtao Zhang;J. Joshua Yang

  • FPGA-based accelerator for long short-term memory recurrent neural networks

    Yijin Guan;Zhihang Yuan;Guangyu Sun;Jason Cong

  • Energy- and endurance-aware design of phase change memory caches

    Yongsoo Joo;Dimin Niu;Xiangyu Dong;Guangyu Sun

  • A Hybrid solid-state storage architecture for the performance, energy consumption, and lifetime improvement

    Guangyu Sun;Yongsoo Joo;Yibo Chen;Dimin Niu

  • GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing

    Guohao Dai;Tianhao Huang;Yuze Chi;Jishen Zhao

  • Joint Task Assignment, Transmission, and Computing Resource Allocation in Multilayer Mobile Edge Computing Systems

    Pengfei Wang;Chao Yao;Zijie Zheng;Guangyu Sun

  • Coordinated static and dynamic cache bypassing for GPUs

    Xiaolong Xie;Yun Liang;Yu Wang;Guangyu Sun

  • Adaptive placement and migration policy for an STT-RAM-based hybrid cache

    Zhe Wang;Daniel A. Jimenez;Cong Xu;Guangyu Sun

  • Half-DRAM: a high-bandwidth and low-power DRAM architecture from the rethinking of fine-grained activation

    Tao Zhang;Ke Chen;Cong Xu;Guangyu Sun

  • Atlas: Baidu's key-value storage system for cloud data

    Chunbo Lai;Song Jiang;Liqiong Yang;Shiding Lin

  • Architecting on-chip interconnects for stacked 3D STT-RAM caches in CMPs

    Asit K. Mishra;Xiangyu Dong;Guangyu Sun;Yuan Xie

  • Multi-level cell STT-RAM: is it realistic or just a dream?

    Yaojun Zhang;Lu Zhang;Wujie Wen;Guangyu Sun

  • An efficient compiler framework for cache bypassing on GPUs

    Xiaolong Xie;Yun Liang;Guangyu Sun;Deming Chen

Frequent Co-Authors

Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Jason Cong
Jason Cong University of California, Los Angeles
Yun Liang
Yun Liang Peking University
Hai Li
Hai Li Duke University
Weisheng Zhao
Weisheng Zhao Beihang University
Yongpan Liu
Yongpan Liu Tsinghua University
Huazhong Yang
Huazhong Yang Tsinghua University
Chaochao Chen
Chaochao Chen Zhejiang University
Jacques-Olivier Klein
Jacques-Olivier Klein University of Paris-Saclay
Suman Datta
Suman Datta Georgia Institute of Technology

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