World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
15221
World Ranking
4989
National Ranking
670

Jinshan Pan 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 Jinshan Pan 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: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Jinshan Pan 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 Jinshan Pan 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: 52 D-Index — 65th percentile

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

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

Best Publications

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks

    Wenqi Ren;Wenqi Ren;Si Liu;Hua Zhang;Jinshan Pan

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Multi-Scale Boosted Dehazing Network With Dense Feature Fusion

    Hang Dong;Jinshan Pan;Lei Xiang;Zhe Hu

  • Gated Fusion Network for Single Image Dehazing

    Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan

  • Blind Image Deblurring Using Dark Channel Prior

    Jinshan Pan;Jinshan Pan;Jinshan Pan;Deqing Sun;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Deblurring Text Images via L0-Regularized Intensity and Gradient Prior

    Jinshan Pan;Zhe Hu;Zhixun Su;Ming-Hsuan Yang

  • Single Image Dehazing via Conditional Generative Adversarial Network

    Runde Li;Jinshan Pan;Zechao Li;Jinhui Tang

  • Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks

    Jiawei Zhang;Jinshan Pan;Jimmy Ren;Yibing Song

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges

    Wenqi Ren;Wenqi Ren;Jinshan Pan;Hua Zhang;Xiaochun Cao

  • $L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond

    Jinshan Pan;Zhe Hu;Zhixun Su;Ming-Hsuan Yang

  • Deblurring Images via Dark Channel Prior

    Jinshan Pan;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Learning to Super-Resolve Blurry Face and Text Images

    Xiangyu Xu;Xiangyu Xu;Xiangyu Xu;Deqing Sun;Deqing Sun;Jinshan Pan;Yujin Zhang

  • Image Deblurring via Enhanced Low-Rank Prior

    Wenqi Ren;Xiaochun Cao;Jinshan Pan;Xiaojie Guo

  • Semi-Supervised Image Dehazing

    Lerenhan Li;Yunlong Dong;Wenqi Ren;Jinshan Pan

  • Learning Dual Convolutional Neural Networks for Low-Level Vision

    Jinshan Pan;Sifei Liu;Deqing Sun;Jiawei Zhang

  • Spatio-Temporal Filter Adaptive Network for Video Deblurring

    Shangchen Zhou;Jiawei Zhang;Jinshan Pan;Wangmeng Zuo

  • Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

    Unknown

  • Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network

    Sifei Liu;Jinshan Pan;Jinshan Pan;Ming Hsuan Yang

  • Physics-Based Generative Adversarial Models for Image Restoration and Beyond

    Jinshan Pan;Jiangxin Dong;Yang Liu;Jiawei Zhang

  • Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution

    Jiawei Zhang;Jinshan Pan;Wei-Sheng Lai;Rynson W. H. Lau

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Deqing Sun
Deqing Sun Google (United States)
Wenqi Ren
Wenqi Ren Sun Yat-sen University
Hanspeter Pfister
Hanspeter Pfister Harvard University
Risheng Liu
Risheng Liu Dalian University of Technology
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Yu-Jin Zhang
Yu-Jin Zhang Tsinghua University
Jimmy Ren
Jimmy Ren Hong Kong Metropolitan University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Jinshan Pan

Recently Published Articles