World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9348
World Ranking
7506
National Ranking
98

Hui Ji 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 Hui Ji 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Hui Ji 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 Hui Ji 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Hui Ji is affiliated with the National University of Singapore in Singapore and has contributed extensively to research in the fields of Computer Science, Engineering, and Medicine. Their work primarily intersects subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Artificial Intelligence, and Biomedical Engineering.

The scientist's key topics of research include Advanced Image Processing Techniques, Image and Signal Denoising Methods, Image Processing Techniques and Applications, Medical Imaging Techniques and Applications, Image Enhancement Techniques, Advanced Vision and Imaging, and Advanced X-ray and CT Imaging.

Hui Ji has published notable papers including:

  • "Image denoising using complex-valued deep CNN" (2020) in Pattern Recognition
  • "Watermarking Deep Neural Networks in Image Processing" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT" (2020) in Medical Physics
  • "Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors" (2022) in IEEE Transactions on Circuits and Systems for Video Technology
  • "Synergistic effect of hydrodynamic cavitation and plasma oxidation for the degradation of Rhodamine B dye wastewater" (2022) in Journal of Water Process Engineering

Frequent co-authors collaborating with Hui Ji include Yuhui Quan, Yong Xu, Tongyao Pang, Qiaoqiao Ding, and Hao Gao.

Publication venues where Hui Ji has frequently contributed are:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • SSRN Electronic Journal
  • Pattern Recognition
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Real time robust L1 tracker using accelerated proximal gradient approach

    Chenglong Bao;Yi Wu;Haibin Ling;Hui Ji

  • Removing Rain from a Single Image via Discriminative Sparse Coding

    Yu Luo;Yong Xu;Hui Ji

  • Robust video denoising using low rank matrix completion

    Hui Ji;Chaoqiang Liu;Zuowei Shen;Yuhong Xu

  • Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image

    Yuhui Quan;Mingqin Chen;Tongyao Pang;Hui Ji

  • Viewpoint Invariant Texture Description Using Fractal Analysis

    Yong Xu;Hui Ji;Cornelia Fermüller

  • Blind motion deblurring from a single image using sparse approximation

    Jian-Feng Cai;Hui Ji;Chaoqiang Liu;Zuowei Shen

  • Framelet-Based Blind Motion Deblurring From a Single Image

    Jian-Feng Cai;Hui Ji;Chaoqiang Liu;Zuowei Shen

  • Data-driven tight frame construction and image denoising

    Jian-Feng Cai;Hui Ji;Zuowei Shen;Gui-Bo Ye

  • Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation

    Hui Ji;Sibin Huang;Zuowei Shen;Yuhong Xu

  • Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis

    Chenglong Bao;Hui Ji;Yuhui Quan;Zuowei Shen

  • Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising

    Tongyao Pang;Huan Zheng;Yuhui Quan;Hui Ji

  • A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid

    Yong Xu;Xiong Yang;Haibin Ling;Hui Ji

  • Wavelet frame based blind image inpainting

    Bin Dong;Hui Ji;Jia Li;Zuowei Shen

  • Motion blur identification from image gradients

    Hui Ji;Chaoqiang Liu

  • Robust Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm

    Hui Ji;C. Fermuller

  • Image denoising using complex-valued deep CNN

    Yuhui Quan;Yixin Chen;Yizhen Shao;Huan Teng

  • Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification

    Hui Ji;Xiong Yang;Haibin Ling;Yong Xu

  • Blind motion deblurring using multiple images

    Jian-Feng Cai;Hui Ji;Chaoqiang Liu;Zuowei Shen

  • Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations

    Chong-Yaw Wee;Chaoqiang Liu;Annie Lee;Joann S. Poh

  • Dynamic texture classification using dynamic fractal analysis

    Yong Xu;Yuhui Quan;Haibin Ling;Hui Ji

  • Deep Learning for Seeing Through Window With Raindrops

    Yuhui Quan;Shijie Deng;Yixin Chen;Hui Ji

  • Wavelet-Based Super-Resolution Reconstruction : Theory and Algorithm

    Hui Ji;Cornelia Fermüller

Frequent Co-Authors

Zuowei Shen
Zuowei Shen National University of Singapore
Cornelia Fermüller
Cornelia Fermüller University of Maryland, College Park
Jian-Feng Cai
Jian-Feng Cai Hong Kong University of Science and Technology
Haibin Ling
Haibin Ling Westlake University
Anqi Qiu
Anqi Qiu Hong Kong Polytechnic University
Yiannis Aloimonos
Yiannis Aloimonos University of Maryland, College Park
Chong Yaw Wee
Chong Yaw Wee University of North Carolina at Chapel Hill
Carola-Bibiane Schönlieb
Carola-Bibiane Schönlieb University of Cambridge
Daniel DeMenthon
Daniel DeMenthon Johns Hopkins University Applied Physics Laboratory

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