World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
11773
World Ranking
2623
National Ranking
434

Computer Science

D-Index
52
Citations
12601
World Ranking
5030
National Ranking
676

Chang Wen 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 Chang Wen 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: 482 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Chang Wen 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 Chang Wen 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: 51 D-Index — 63rd percentile

63% 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

  • 2007 - SPIE Fellow

Overview

Chang Wen Chen is affiliated with Hong Kong Polytechnic University in China and specializes in research primarily within computer science and engineering.

The scientist's research focuses on multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Plant Science
  • Computer Networks and Communications

Main topics covered in their work encompass:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Wireless Communication Technologies
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Plant Physiology and Cultivation Studies
  • Video Analysis and Summarization

Chang Wen Chen has contributed frequently to multiple publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology

Selected recent papers include:

  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond," 2021, ACM Computing Surveys
  • "An integrated peach genome structural variation map uncovers genes associated with fruit traits," 2020, Genome Biology
  • "Internet of Video Things: Next-Generation IoT With Visual Sensors," 2020, IEEE Internet of Things Journal
  • "UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection," 2022, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images," 2024, IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators in research efforts include:

  • Hancheng Lu
  • Weichao Fang
  • Lirong Wang
  • Ke Cao
  • Jinlong Wu

Recognition includes the award of SPIE Fellow in 2007.

Best Publications

  • Compressive data gathering for large-scale wireless sensor networks

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding

    Zhihai He;Jianfei Cai;Chang Wen Chen

  • Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications

    C.W. Chen;J. Luo;K.J. Parker

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment

    Shuang Ma;Jing Liu;Chang Wen Chen

  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior

    Jing Zhang;Yang Cao;Shuai Fang;Yu Kang

  • Modeling, analysis, and visualization of left ventricle shape and motion by hierarchical decomposition

    Chang Wen Chen;T.S. Huang;M. Arrott

  • Cloud Mobile Media: Reflections and Outlook

    Yonggang Wen;Xiaoqing Zhu;Joel J. P. C. Rodrigues;Chang Wen Chen

  • QoE in Video Transmission: A User Experience-Driven Strategy

    Tiesong Zhao;Qian Liu;Chang Wen Chen

  • Medium Access Control for Wireless Body Area Networks with QoS Provisioning and Energy Efficient Design

    Bin Liu;Zhisheng Yan;Chang Wen Chen

  • DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

  • Scalable H.264/AVC Video Transmission Over MIMO Wireless Systems With Adaptive Channel Selection Based on Partial Channel Information

    Daewon Song;Chang Wen Chen

  • Towards Efficient Privacy-preserving Image Feature Extraction in Cloud Computing

    Zhan Qin;Jingbo Yan;Kui Ren;Chang Wen Chen

  • New Depth Coding Techniques With Utilization of Corresponding Video

    Shujie Liu;PoLin Lai;Dong Tian;Chang Wen Chen

  • Virtual View Reconstruction Using Temporal Information

    Shujie Liu;Philip A. Chou;Cha Zhang;Zhengyou Zhang

  • Artifact reduction in low bit rate DCT-based image compression

    Jiebo Luo;Chang Wen Chen;K.J. Parker;T.S. Huang

  • Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum Sharing in Multiband Cognitive Radio Networks

    Junni Zou;Hongkai Xiong;Dawei Wang;Chang Wen Chen

  • DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

Frequent Co-Authors

Jianfei Cai
Jianfei Cai Monash University
Kevin J. Parker
Kevin J. Parker University of Rochester
Jiebo Luo
Jiebo Luo University of Rochester
Houqiang Li
Houqiang Li University of Science and Technology of China
Feng Wu
Feng Wu University of Science and Technology of China
Zhihai He
Zhihai He University of Missouri
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Tao Mei
Tao Mei Jingdong (China)
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University

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