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Computer Science
Singapore
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
31452
World Ranking
522
National Ranking
10

Weisi 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 Weisi 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: 630 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Weisi 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 Weisi 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: 93 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in Singapore Leader Award

Overview

Weisi Lin is affiliated with Nanyang Technological University in Singapore. Their research primarily spans across the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Artificial Intelligence, and Signal Processing.

The scientist's work covers a variety of advanced topics, including:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis

Weisi Lin has contributed to several recent papers that illustrate the scope of their research interests. Notable publications include:

  • "Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection" (2021) published in IEEE Transactions on Image Processing
  • "An engineered CRISPR-Cas12a variant and DNA-RNA hybrid guides enable robust and rapid COVID-19 testing" (2021) published in Nature Communications
  • "Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection" (2021) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network" (2020) published in IEEE Transactions on Image Processing
  • "Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images" (2022) published in IEEE Transactions on Cybernetics

The scientist frequently collaborates with a number of co-authors, including:

  • Haoning Wu
  • Guangtao Zhai
  • Chaofeng Chen
  • Xiongkuo Min
  • Zicheng Zhang

Their work has appeared in a variety of publication venues, with a strong presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Perceptual visual quality metrics: A survey

    Weisi Lin;C. C. Jay Kuo

  • Image Quality Assessment Based on Gradient Similarity

    Anmin Liu;Weisi Lin;M. Narwaria

  • Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

    Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin

  • A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

    Shiqi Wang;Kede Ma;Hojatollah Yeganeh;Zhou Wang

  • Review of Visual Saliency Detection With Comprehensive Information

    Runmin Cong;Jianjun Lei;Huazhu Fu;Ming-Ming Cheng

  • The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

    Ke Gu;Guangtao Zhai;Weisi Lin;Min Liu

  • No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

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

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

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

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images

    Xiongkuo Min;Kede Ma;Ke Gu;Guangtao Zhai

  • Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection

    Gongyang Li;Zhi Liu;Minyu Chen;Zhen Bai

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • A locally adaptive algorithm for measuring blocking artifacts in images and videos

    Feng Pan;Xiao Lin;Susanto Rahardja;Weisi Lin

  • Perceptual Quality Metric With Internal Generative Mechanism

    Jinjian Wu;Weisi Lin;Guangming Shi;Anmin Liu

  • No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments

    Leida Li;Weisi Lin;Xuesong Wang;Gaobo Yang

  • A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform

    N. Imamoglu;Weisi Lin;Yuming Fang

  • A Video Saliency Detection Model in Compressed Domain

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

  • Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions

    Anmin Liu;Weisi Lin;M Paul;Chenwei Deng

  • Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation

    Zhongkang Lu;W. Lin;X. Yang;EePing Ong

  • No-Reference Quality Assessment of Screen Content Pictures

    Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai

Frequent Co-Authors

Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Ke Gu
Ke Gu Beijing University of Technology
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Jinjian Wu
Jinjian Wu Xidian University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Guangming Shi
Guangming Shi Xidian University
Feng Shao
Feng Shao Ningbo University
Bu-Sung Lee
Bu-Sung Lee Nanyang Technological University

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