World's Best Scientists 2026 revealed!
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Computer Science
Taiwan
2025
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Electronics and Electrical Engineering
Taiwan
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
15086
World Ranking
1101
National Ranking
11

Computer Science

D-Index
67
Citations
15161
World Ranking
2224
National Ranking
12

Liang-Gee Chen 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 Liang-Gee Chen 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: 605 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Liang-Gee Chen 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 Liang-Gee Chen 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

  • 2025 - Research.com Computer Science in Taiwan Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award
  • 2023 - Research.com Computer Science in Taiwan Leader Award
  • 2022 - Research.com Computer Science in Taiwan Leader Award
  • 2016 - Fellow, National Academy of Inventors
  • 2001 - IEEE Fellow For contributions to algorithm and architecture design for video coding systems.

Overview

Liang-Gee Chen is affiliated with National Taiwan University in Taiwan and has published extensively in the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture, Electrical and Electronic Engineering, and Media Technology.

Their research topics cover a range of advanced techniques and applications, specifically:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Parallel Computing and Optimization Techniques

They have contributed to multiple recent publications, including:

  • Online-trained Upsampler for Deep Low Complexity Video Compression, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Hardware- and Memory-Efficient Architecture for Disparity Estimation of Large Label Counts, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • 3.53-TOPS/W EEAIP: An Energy-Efficient Artificial Intelligence Hardware Architecture for Edge AI Applications, 2023, IEEE Transactions on Consumer Electronics
  • CMWMF: Constant Memory Architecture of Weighted Mode/Median Filter for Extremely Large Label Depth Refinement, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Joint Pruning & Quantization for Extremely Sparse Neural Networks, 2020, arXiv (Cornell University)

The venues where they publish often include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Consumer Electronics
  • IEEE Transactions on Image Processing

Frequent collaborators in their research work include Jan P. Klopp, Shao-Yi Chien, Sih-Sian Wu, Keng-Chi Liu, and Po-Hsiang Yu.

Liang-Gee Chen has been recognized with awards including the IEEE Fellow distinction awarded in 2001 for contributions to algorithm and architecture design for video coding systems, and the title of Fellow of the National Academy of Inventors received in 2016.

Best Publications

  • Efficient moving object segmentation algorithm using background registration technique

    Shao-Yi Chien;Shyh-Yih Ma;Liang-Gee Chen

  • Analysis, fast algorithm, and VLSI architecture design for H.264/AVC intra frame coder

    Yu-Wen Huang;Bing-Yu Hsieh;Tung-Chien Chen;Liang-Gee Chen

  • Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder

    Tung-Chien Chen;Shao-Yi Chien;Yu-Wen Huang;Chen-Han Tsai

  • Analysis and architecture design of variable block-size motion estimation for H.264/AVC

    Ching-Yeh Chen;Shao-Yi Chien;Yu-Wen Huang;Tung-Chien Chen

  • Flipping structure: an efficient VLSI architecture for lifting-based discrete wavelet transform

    Chao-Tsung Huang;Po-Chih Tseng;Liang-Gee Chen

  • Analysis and architecture design of block-coding engine for EBCOT in JPEG 2000

    Chung-Jr Lian;Kuan-Fu Chen;Hong-Hui Chen;Liang-Gee Chen

  • Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC

    Yu-Wen Huang;Bing-Yu Hsieh;Shao-Yi Chien;Shyh-Yih Ma

  • Survey on Block Matching Motion Estimation Algorithms and Architectures with New Results

    Yu-Wen Huang;Ching-Yeh Chen;Chen-Han Tsai;Chun-Fu Shen

  • An efficient architecture for two-dimensional discrete wavelet transform

    Po-Cheng Wu;Liang-Gee Chen

  • Efficient Depth Image Based Rendering with Edge Dependent Depth Filter and Interpolation

    Wan-Yu Chen;Yu-Lin Chang;Shyh-Feng Lin;Li-Fu Ding

  • One-dimensional full search motion estimation algorithm for video coding

    M.-J. Chen;L.-G. Chen;T.-D. Chiueh

  • Error concealment of lost motion vectors with overlapped motion compensation

    Mei-Juan Chen;Liang-Gee Chen;Ro-Min Weng

  • An efficient and simple VLSI tree architecture for motion estimation algorithms

    Yeu-Shen Jehng;Liang-Gee Chen;Tzi-Dar Chiueh

  • Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques

    Shao-Yi Chien;Yu-Wen Huang;Bing-Yu Hsieh;Shyh-Yih Ma

  • A 1.3TOPS H.264/AVC single-chip encoder for HDTV applications

    Yu-Wen Huang;Tung-Chien Chen;Chen-Han Tsai;Ching-Yeh Chen

  • Hardware architecture design for variable block size motion estimation in MPEG-4 AVC/JVT/ITU-T H.264

    Yu-Wen Huang;Tu-Chih Wang;Bing-Yu Hsieh;Liang-Gee Chen

  • Parallel 4/spl times/4 2D transform and inverse transform architecture for MPEG-4 AVC/H.264

    Tu-Chih Wang;Yu-Wen Huang;Hung-Chi Fang;Liang-Gee Chen

  • Fully utilized and reusable architecture for fractional motion estimation of H.264/AVC

    Tung-Chien Chen;Yu-Wen Huang;Liang-Gee Chen

  • Architecture design for deblocking filter in H.264/JVT/AVC

    Yu-Wen Huang;To-Wei Chen;Bing-Yu Hsieh;Tu-Chih Wang

  • Generic RAM-based architectures for two-dimensional discrete wavelet transform with line-based method

    Chao-Tsung Huang;Po-Chih Tseng;Liang-Gee Chen

Frequent Co-Authors

Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Homer H. Chen
Homer H. Chen National Taiwan University
Wentai Liu
Wentai Liu University of California, Los Angeles
Shey-Shi Lu
Shey-Shi Lu National Taiwan University
Wonyong Sung
Wonyong Sung Seoul National University
Tei-Wei Kuo
Tei-Wei Kuo National Taiwan University
Chii-Wann Lin
Chii-Wann Lin National Taiwan University
Yao-Wen Chang
Yao-Wen Chang National Taiwan University
Chia-Lin Yang
Chia-Lin Yang National Taiwan University

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