World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
7387
World Ranking
4276
National Ranking
144

Computer Science

D-Index
42
Citations
7859
World Ranking
8346
National Ranking
83

Jungwon Lee 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 Jungwon Lee 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: 353 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Jungwon Lee 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 Jungwon Lee 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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Jungwon Lee is a researcher affiliated with Samsung in South Korea, with significant contributions in the fields of Engineering and Computer Science. Their work predominantly focuses on Electrical and Electronic Engineering as well as Artificial Intelligence. The researcher has also contributed to subfields including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The main topics Jungwon Lee has engaged with include:

  • Low-power high-performance VLSI design
  • Domain Adaptation and Few-Shot Learning
  • Silicon Carbide Semiconductor Technologies
  • Advanced Neural Network Applications
  • Analog and Mixed-Signal Circuit Design
  • Parallel Computing and Optimization Techniques
  • Radiomics and Machine Learning in Medical Imaging

The researcher has published extensively in a diverse set of venues, with a notable presence in:

  • arXiv (Cornell University)
  • IEEE Access
  • Journal of KIISE
  • korean management review
  • IEIE Transactions on Smart Processing and Computing

Jungwon Lee has collaborated repeatedly with several coauthors, frequently working alongside:

  • Hyoju Seo
  • Yongtae Kim
  • Ye-Seul Park
  • Mostafa El-Khamy
  • Hyelin Seok

Some of the recent papers published by Jungwon Lee include:

  • Approximate adder design with simplified lower-part approximation (2020), IEICE Electronics Express
  • Fault Detection Method Using a Convolution Neural Network for Hybrid Active Neutral-Point Clamped Inverters (2020), IEEE Access
  • NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results (2020), arXiv (Cornell University)
  • Universal Deep Neural Network Compression (2020), IEEE Journal of Selected Topics in Signal Processing
  • COREA: Delay- and Energy-Efficient Approximate Adder Using Effective Carry Speculation (2021), Electronics

Best Publications

  • Display screen or portion thereof with transitional graphical user interface

    Insik Myung;Sahnghee Bahn;Jongwoo Jung;Jungwon Lee

  • Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection

    Xianzhi Du;Mostafa El-Khamy;Jungwon Lee;Larry Davis

  • T-GSA: Transformer with Gaussian-Weighted Self-Attention for Speech Enhancement

    Unknown

  • Advanced interference management for 5G cellular networks

    Wooseok Nam;Dongwoon Bai;Jungwon Lee;Inyup Kang

  • A game-theoretic approach to power allocation in frequency-selective gaussian interference channels

    Seong Taek Chung;Seung Jean Kim;Jungwon Lee;J.M. Cioffi

  • Variable Rate Deep Image Compression With a Conditional Autoencoder

    Yoojin Choi;Mostafa El-Khamy;Jungwon Lee

  • Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition.

    Jaeyoung Kim;Mostafa El-Khamy;Jungwon Lee

  • NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

    Andreas Lugmayr;Martin Danelljan;Radu Timofte;Namhyuk Ahn

  • Towards the Limit of Network Quantization.

    Yoojin Choi;Mostafa El-Khamy;Jungwon Lee

  • LTE-advanced modem design: challenges and perspectives

    Dongwoon Bai;Cheolhee Park;Jungwon Lee;Hoang Nguyen

  • An overview of channel coding for 5G NR cellular communications

    Jung Hyun Bae;Ahmed Abotabl;Hsien-Ping Lin;Kee-Bong Song

  • HARQ Rate-Compatible Polar Codes for Wireless Channels

    Mostafa El-Khamy;Hsien-Ping Lin;Jungwon Lee;Hessam Mahdavifar

  • Single dish performance of KVN 21-m radio telescopes:Simultaneous observations at 22 and 43 GHz

    Sang-Sung Lee;Do-Young Byun;Chung Sik Oh;Seog-Tae Han

  • Image Super Resolution Based on Fusing Multiple Convolution Neural Networks

    Haoyu Ren;Mostafa El-Khamy;Jungwon Lee

  • A survey on next generation mobile WiMAX networks: objectives, features and technical challenges

    I. Papapanagiotou;D. Toumpakaris;Jungwon Lee;M. Devetsikiotis

  • Polar Coding for Bit-Interleaved Coded Modulation

    Hessam Mahdavifar;Mostafa El-Khamy;Jungwon Lee;Inyup Kang

  • Transmit beamforming utilizing channel estimation matrix decomposition feedback in a wireless MIMO communication system

    Jungwon Lee;Rohit U. Nabar;Hui-Ling Lou

  • METHOD AND APPARATUS FOR RECORDING WITH WHICH TIME SHIFT FUNCTION IS PRACTICABLE AT PLURAL CHANNEL

    Lee Jung Won

  • Interference Mitigation via Joint Detection

    Jungwon Lee;D Toumpakaris;Wei Yu

  • Towards Fair Federated Learning with Zero-Shot Data Augmentation

    Weituo Hao;Mostafa El-Khamy;Jungwon Lee;Jianyi Zhang

  • SNR Analysis of OFDM Systems in the Presence of Carrier Frequency Offset for Fading Channels

    J. Lee;H.-L. Lou;D. Toumpakaris;J.M. Cioffi

  • Effect of carrier frequency offset on OFDM systems for multipath fading channels

    Jungwon Lee;Hui-Ling Lou;D. Toumpakaris;J.M. Cioffi

Frequent Co-Authors

John M. Cioffi
John M. Cioffi Stanford University
Rohit U. Nabar
Rohit U. Nabar Marvell (United States)
Paul Hasler
Paul Hasler Georgia Institute of Technology
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Wei Yu
Wei Yu University of Toronto
Changhoon Lee
Changhoon Lee Seoul National University
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
Young Ho Kim
Young Ho Kim Kyungpook National University
Hongyuan Zhang
Hongyuan Zhang Marvell (United States)
Robert W. Heath
Robert W. Heath University of California, San Diego

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 Electronics and Electrical Engineering opens doors to diverse career opportunities, many of which suit various personality types and working styles. For those who identify as introverts, exploring introvert jobs that pay well can help align career paths with personal strengths while achieving financial stability.

Many students and working professionals aim to accelerate their education to enter the workforce sooner. Online programs like the fastest online project management degree offer efficient pathways to advance their skills without sacrificing current job commitments.

For those interested in complementing engineering expertise with leadership skills, earning a bachelor project management degree online can be a strategic choice. This combination enhances career versatility and opens avenues in management roles across technical industries.

Additionally, many educational institutions now offer accelerated online degree programs designed specifically for working adults balancing career and study. These flexible options support continuous professional growth while adapting to busy lifestyles.

Best Scientists Citing Jungwon Lee

Trending Scientists

Recently Published Articles