World's Best Scientists 2026 revealed!
Huazhong Yang

Huazhong Yang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
15234
World Ranking
1941
National Ranking
336

Computer Science

D-Index
59
Citations
15706
World Ranking
3397
National Ranking
455

Huazhong Yang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Huazhong Yang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 634 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Huazhong Yang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Huazhong Yang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 57 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Huazhong Yang is affiliated with Tsinghua University in China and has a significant body of research in engineering and computer science. Their work spans several subfields, primarily focusing on electrical and electronic engineering, computer vision and pattern recognition, artificial intelligence, aerospace engineering, and hardware and architecture.

The scientist's research topics include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Semiconductor materials and devices
  • CCD and CMOS Imaging Sensors
  • Robotic Path Planning Algorithms
  • Advanced Vision and Imaging

Huazhong Yang has published extensively in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Circuits & Systems II Express Briefs

Their recent papers demonstrate the breadth of their research interests. Notable publications include:

  • "Machine Learning for Electronic Design Automation: A Survey" (2021), published in ACM Transactions on Design Automation of Electronic Systems
  • "Inter-patient ECG arrhythmia heartbeat classification based on unsupervised domain adaptation" (2021), published in Neurocomputing
  • "Senputing: An Ultra-Low-Power Always-On Vision Perception Chip Featuring the Deep Fusion of Sensing and Computing" (2021), published in IEEE Transactions on Circuits and Systems I Regular Papers
  • "STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse" (2022), published in IEEE Journal of Solid-State Circuits
  • "MSP-MFCC: Energy-Efficient MFCC Feature Extraction Method With Mixed-Signal Processing Architecture for Wearable Speech Recognition Applications" (2020), published in IEEE Access

Frequent co-authors of Huazhong Yang include Yongpan Liu, Xueqing Li, Xuefei Ning, Yu Wang, and Jinshan Yue, with collaboration counts of 61, 46, 36, 32, and 19 papers respectively. This indicates active cooperation within a network of researchers in related fields.

Best Publications

  • Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

    Jiantao Qiu;Jie Wang;Song Yao;Kaiyuan Guo

  • Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA

    Kaiyuan Guo;Lingzhi Sui;Jiantao Qiu;Jincheng Yu

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: EXPRESS BRIEFS

    Yong Lian;Mohamad Sawan;Chacko John Deepu

  • Accurate temperature-dependent integrated circuit leakage power estimation is easy

    Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang

  • Machine Learning for Electronic Design Automation: A Survey

    Guyue Huang;Jingbo Hu;Yifan He;Jialong Liu

  • [DL] A Survey of FPGA-based Neural Network Inference Accelerators

    Kaiyuan Guo;Shulin Zeng;Jincheng Yu;Yu Wang

  • FPMR: MapReduce framework on FPGA

    Yi Shan;Bo Wang;Jing Yan;Yu Wang

  • Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication

    Lixue Xia;Peng Gu;Boxun Li;Tianqi Tang

  • A 3us wake-up time nonvolatile processor based on ferroelectric flip-flops

    Unknown

  • Binary convolutional neural network on RRAM

    Tianqi Tang;Lixue Xia;Boxun Li;Yu Wang

  • MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System

    Lixue Xia;Boxun Li;Tianqi Tang;Peng Gu

  • Technological exploration of RRAM crossbar array for matrix-vector multiplication

    Peng Gu;Boxun Li;Tianqi Tang;Shimeng Yu

  • Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

    Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang

  • A Survey of FPGA Based Neural Network Accelerator

    Kaiyuan Guo;Shulin Zeng;Jincheng Yu;Yu Wang

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

    Guohao Dai;Tianhao Huang;Yuze Chi;Jishen Zhao

  • ForeGraph: Exploring Large-scale Graph Processing on Multi-FPGA Architecture

    Guohao Dai;Tianhao Huang;Yuze Chi;Ningyi Xu

  • Stuck-at Fault Tolerance in RRAM Computing Systems

    Lixue Xia;Wenqin Huangfu;Tianqi Tang;Xiling Yin

  • Ambient energy harvesting nonvolatile processors: from circuit to system

    Yongpan Liu;Zewei Li;Hehe Li;Yiqun Wang

  • RRAM-Based Analog Approximate Computing

    Boxun Li;Peng Gu;Yi Shan;Yu Wang

  • A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating

    Jinshan Yue;Xiaoyu Feng;Yifan He;Yuxuan Huang

  • Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition

    Jingxuan Hou;Guijin Wang;Xinghao Chen;Jing-Hao Xue

  • FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search

    Guohao Dai;Yuze Chi;Yu Wang;Huazhong Yang

  • TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks

    Ming Cheng;Lixue Xia;Zhenhua Zhu;Yi Cai

Frequent Co-Authors

Yongpan Liu
Yongpan Liu Tsinghua University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Guijin Wang
Guijin Wang Tsinghua University
Meng-Fan Chang
Meng-Fan Chang National Tsing Hua University
Yu Cao
Yu Cao University of Minnesota
Yong Lian
Yong Lian York University
Xin-Jun Liu
Xin-Jun Liu Tsinghua University
Xiaojun Guo
Xiaojun Guo Shanghai Jiao Tong University
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence

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