World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12096
World Ranking
4316
National Ranking
29

Chia-Wen Lin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chia-Wen Lin sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chia-Wen Lin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chia-Wen Lin sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to multimedia coding and editing

Overview

Chia-Wen Lin is affiliated with National Tsing Hua University in Taiwan. Their research spans significant contributions within the fields of Computer Science and Engineering, with a particular emphasis on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Electrical and Electronic Engineering, and Radiology, Nuclear Medicine and Imaging.

The scientist's main research topics include:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications

Their publication record includes a number of recent papers across leading journals and conferences. Selected recent works are:

  • "Deep learning on image denoising: An overview," 2020, Neural Networks
  • "Dual-level Collaborative Transformer for Image Captioning," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution," 2024, IEEE Transactions on Image Processing
  • "Coarse-to-Fine CNN for Image Super-Resolution," 2020, IEEE Transactions on Multimedia
  • "Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification," 2022, IEEE Transactions on Image Processing

The venues where this researcher frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Chia-Wen Lin has collaborated often with several researchers, including:

  • Zheng Wang
  • Wangmeng Zuo
  • Chunwei Tian
  • Kui Jiang
  • Hao-Chiang Shao

In 2018, the scientist was recognized as an IEEE Fellow for contributions to multimedia coding and editing, reflecting a professional achievement acknowledged by peers in the engineering community.

Best Publications

  • Deep learning on image denoising: An overview.

    Chunwei Tian;Lunke Fei;Wenxian Zheng;Yong Xu

  • Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition

    Li-Wei Kang;Chia-Wen Lin;Yu-Hsiang Fu

  • Digital Video Transcoding

    Jun Xin;Chia-Wen Lin;Ming-Ting Sun

  • Motion vector refinement for high-performance transcoding

    Jeongnam Youn;Ming-Ting Sun;Chia-Wen Lin

  • Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

    Yuming Fang;Zhenzhong Chen;Weisi Lin;Chia-Wen Lin

  • Dual-level Collaborative Transformer for Image Captioning.

    Yunpeng Luo;Jiayi Ji;Xiaoshuai Sun;Liujuan Cao

  • Self-Learning Based Image Decomposition With Applications to Single Image Denoising

    De-An Huang;Li-Wei Kang;Yu-Chiang Frank Wang;Chia-Wen Lin

  • Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification

    Unknown

  • Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

    Qiong Wu;Pingyang Dai;Jie Chen;Chia-Wen Lin

  • A Video Saliency Detection Model in Compressed Domain

    Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai

  • Video forgery detection using correlation of noise residue

    Chih-Chung Hsu;Tzu-Yi Hung;Chia-Wen Lin;Chiou-Ting Hsu

  • Coarse-to-Fine CNN for Image Super-Resolution

    Chunwei Tian;Yong Xu;Wangmeng Zuo;Bob Zhang

  • Designing and training of a dual CNN for image denoising

    Chunwei Tian;Yong Xu;Wangmeng Zuo;Bo Du

  • Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum

    Yuming Fang;Weisi Lin;Bu-Sung Lee;Chiew-Tong Lau

  • Lightweight image super-resolution with enhanced CNN

    Chunwei Tian;Ruibin Zhuge;Zhihao Wu;Yong Xu

  • Grayscale Enhancement Colorization Network for Visible-infrared Person Re-identification

    Xian Zhong;Tianyou Lu;Wenxin Huang;Mang Ye

  • Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining

    Kui Jiang;Zhongyuan Wang;Peng Yi;Chen Chen

  • m DASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming

    Chao Zhou;Chia-Wen Lin;Zongming Guo

  • Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

    Unknown

  • Wireless video transport using conditional retransmission and low-delay interleaving

    S. Aramvith;Chia-Wen Lin;S. Roy;Ming-Ting Sun

  • Context-Aware Single Image Rain Removal

    De-An Huang;Li-Wei Kang;Min-Chun Yang;Chia-Wen Lin

  • CNN-Based joint clustering and representation learning with feature drift compensation for large-scale image data

    Chih Chung Hsu;Chia Wen Lin

  • Objective Quality Assessment for Image Retargeting Based on Structural Similarity

    Yuming Fang;Kai Zeng;Zhou Wang;Weisi Lin

  • Dynamic frame-skipping in video transcoding

    Jenq-Neng Hwang;Tzong-Der Wu;Chia-Wen Lin

  • Cascade Grouped Attention Network for Referring Expression Segmentation

    Gen Luo;Yiyi Zhou;Rongrong Ji;Xiaoshuai Sun

Frequent Co-Authors

Ming-Ting Sun
Ming-Ting Sun University of Washington
Gene Cheung
Gene Cheung York University
Hong-Yuan Mark Liao
Hong-Yuan Mark Liao Academia Sinica
Weisi Lin
Weisi Lin Nanyang Technological University
Rongrong Ji
Rongrong Ji Xiamen University
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Zhenzhong Chen
Zhenzhong Chen Wuhan University
Yong Xu
Yong Xu Harbin Institute of Technology
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics

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