World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
17595
World Ranking
1079
National Ranking
22

Hoi-Jun Yoo 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 Hoi-Jun Yoo 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: 681 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Hoi-Jun Yoo 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 Hoi-Jun Yoo 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to low-power and high-speed VLSI design

Overview

Hoi-Jun Yoo is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the fields of engineering and computer science, with particular emphasis on electrical and electronic engineering, computer vision and pattern recognition, and artificial intelligence.

Their work covers a range of topics including advanced memory and neural computing, advanced neural network applications, ferroelectric and negative capacitance devices, CCD and CMOS imaging sensors, advanced vision and imaging, advanced image and video retrieval techniques, and neural networks and reservoir computing.

Frequent publication venues for Hoi-Jun Yoo include:

  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • arXiv (Cornell University)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Among recent papers authored with coauthors, notable works include:

  • Neuro-inspired computing chips, 2020, Nature Electronics
  • SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices, 2020, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching, 2021, IEEE Journal of Solid-State Circuits
  • A 36-Channel Auto-Calibrated Front-End ASIC for a pMUT-Based Miniaturized 3-D Ultrasound System, 2021, IEEE Journal of Solid-State Circuits
  • The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices, 2020, IEEE Transactions on Circuits and Systems I Regular Papers

Frequent collaborators in their research include Donghyeon Han, Sangyeob Kim, Sangjin Kim, Dongseok Im, and Juhyoung Lee.

Hoi-Jun Yoo received the IEEE Fellow award in 2008 for contributions to low-power and high-speed VLSI design.

Best Publications

  • Neuro-inspired computing chips

    Wenqiang Zhang;Bin Gao;Jianshi Tang;Peng Yao

  • 1.25-Gb/s regulated cascode CMOS transimpedance amplifier for Gigabit Ethernet applications

    Sung Min Park;Hoi-Jun Yoo

  • The Human Body Characteristics as a Signal Transmission Medium for Intrabody Communication

    Namjun Cho;J. Yoo;Seong-Jun Song;Jeabin Lee

  • 14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks

    Dongjoo Shin;Jinmook Lee;Jinsu Lee;Hoi-Jun Yoo

  • UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision

    Jinmook Lee;Changhyeon Kim;Sanghoon Kang;Dongjoo Shin

  • UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

    Jinmook Lee;Changhyeon Kim;Sanghoon Kang;Dongjoo Shin

  • A 5.2 mW Self-Configured Wearable Body Sensor Network Controller and a 12 $\mu$ W Wirelessly Powered Sensor for a Continuous Health Monitoring System

    J. Yoo;Long Yan;Seulki Lee;Yongsang Kim

  • The Signal Transmission Mechanism on the Surface of Human Body for Body Channel Communication

    Joonsung Bae;Hyunwoo Cho;Kiseok Song;Hyungwoo Lee

  • Toward all-day wearable health monitoring: An ultralow-power, reflective organic pulse oximetry sensing patch

    Hyeon Woo Lee;Eunhye Kim;Yongsu Lee;Ho-Yeon Kim

  • Low-power network-on-chip for high-performance SoC design

    Kangmin Lee;Se-Joong Lee;Hoi-Jun Yoo

  • A 5.1-/spl mu/W UHF RFID tag chip integrated with sensors for wireless environmental monitoring

    Namjun Cho;Seong-Jun Song;Sunyoung Kim;Shiho Kim

  • A Wearable ECG Acquisition System With Compact Planar-Fashionable Circuit Board-Based Shirt

    J. Yoo;Long Yan;Seulki Lee;Hyejung Kim

  • Electrical Characterization of Screen-Printed Circuits on the Fabric

    Yongsang Kim;Hyejung Kim;Hoi-Jun Yoo

  • ECG Signal Compression and Classification Algorithm With Quad Level Vector for ECG Holter System

    Hyejung Kim;R.F. Yazicioglu;P. Merken;C. Van Hoof

  • A 0.24-nJ/b Wireless Body-Area-Network Transceiver With Scalable Double-FSK Modulation

    Joonsung Bae;Kiseok Song;Hyungwoo Lee;Hyunwoo Cho

  • A Low Energy Injection-Locked FSK Transceiver With Frequency-to-Amplitude Conversion for Body Sensor Applications

    Joonsung Bae;Long Yan;Hoi-Jun Yoo

  • A 0.2-mW 2-Mb/s Digital Transceiver Based on Wideband Signaling for Human Body Communications

    Seong-Jun Song;Namjun Cho;Hoi-Jun Yoo

  • A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine

    Joo-Young Kim;Minsu Kim;Seungjin Lee;Jinwook Oh

  • 18.4 A 4.9mΩ-sensitivity mobile electrical impedance tomography IC for early breast-cancer detection system

    Sunjoo Hong;Kwonjoon Lee;Unsoo Ha;Hyunki Kim

  • A 10.8 mW Body Channel Communication/MICS Dual-Band Transceiver for a Unified Body Sensor Network Controller

    Namjun Cho;Joonsung Bae;Sunyoung Kim;Hoi-Jun Yoo

  • Low-Power Network-on-Chip for High-Performance

    Kangmin Lee;Se-Joong Lee;Hoi-Jun Yoo

Frequent Co-Authors

Dong-Hyun Kim
Dong-Hyun Kim Kyung Hee University
J. P. Harbison
J. P. Harbison Telcordia Technologies
Refet Firat Yazicioglu
Refet Firat Yazicioglu Galvani Bioelectronics
Seunghyup Yoo
Seunghyup Yoo Korea Advanced Institute of Science and Technology
Axel Scherer
Axel Scherer California Institute of Technology
Minkyu Je
Minkyu Je Korea Advanced Institute of Science and Technology
Joungho Kim
Joungho Kim Korea Advanced Institute of Science and Technology

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