World's Best Scientists 2026 revealed!
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Chao Dong
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 51 284 284 94 94 107 35385
Computer Science 53 4671 4541 627 623 106 39669

Chao Dong publications per year

The chart shows the history of publications by Chao Dong between 2012 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chao Dong published across 15 years, from 2012 to 2026, averaging 8.3 papers a year. Output peaked at 28 publications in 2021. 13 of the 124 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2012 to 2026. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2021. 2012: 1 publication 2013: 1 publication 2014: 2 publications 2015: 3 publications 2016: 3 publications 2017: 1 publication 2018: 9 publications 2019: 14 publications 2020: 16 publications 2021: 28 publications 2022: 13 publications 2023: 12 publications 2024: 8 publications 2025: 12 publications 2026: 1 publication
2012 2026

124 publications in total across all disciplines

View publications per year as a table
Chao Dong: publications per year, 2012 to 2026
Year Publications
2012 1
2013 1
2014 2
2015 3
2016 3
2017 1
2018 9
2019 14
2020 16
2021 28
2022 13
2023 12
2024 8
2025 12
2026 1
Total 124
Download as CSV

Chao Dong 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 Chao Dong sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 102–111 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420 106
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Chao Dong 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 Chao Dong sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 53
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Chao Dong is affiliated with the Shenzhen Institutes of Advanced Technology in China. Their research primarily intersects the fields of computer science and engineering, with a focus on subfields such as computer vision and pattern recognition, media technology, artificial intelligence, electrical and electronic engineering, and information systems.

The scientist's work covers several main topics, notably advanced image processing techniques, advanced vision and imaging, image and signal denoising methods, image enhancement techniques, image processing techniques and applications, image and video quality assessment, and advanced image fusion techniques.

Chao Dong has contributed extensively to academic publications with a strong presence in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among their recent papers are:

  • "Blueprint Separable Residual Network for Efficient Image Super-Resolution," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Video super-resolution based on deep learning: a comprehensive survey," 2022, published in Artificial Intelligence Review
  • "Blind Image Super-Resolution: A Survey and Beyond," 2022, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Understanding Deformable Alignment in Video Super-Resolution," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Path-Restore: Learning Network Path Selection for Image Restoration," 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent collaborators with Chao Dong include:

  • Yu Qiao
  • Yihao Liu
  • Jingwen He
  • Jinjin Gu
  • Xintao Wang

Best Publications

  • Image Super-Resolution Using Deep Convolutional Networks

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • Learning a Deep Convolutional Network for Image Super-Resolution

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • Accelerating the Super-Resolution Convolutional Neural Network

    Chao Dong;Chen Change Loy;Xiaoou Tang

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

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

  • Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

    Xintao Wang;Liangbin Xie;Chao Dong;Ying Shan

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • EDVR: Video Restoration With Enhanced Deformable Convolutional Networks

    Xintao Wang;Kelvin C.K. Chan;Ke Yu;Chao Dong

  • Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform

    Xintao Wang;Ke Yu;Chao Dong;Chen Change Loy

  • Activating More Pixels in Image Super-Resolution Transformer

    Unknown

  • Compression Artifacts Reduction by a Deep Convolutional Network

    Chao Dong;Yubin Deng;Chen Change Loy;Xiaoou Tang

  • Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks

    Yuan Yuan;Siyuan Liu;Jiawei Zhang;Yongbing Zhang

  • Blind Super-Resolution With Iterative Kernel Correction

    Jinjin Gu;Hannan Lu;Wangmeng Zuo;Chao Dong

  • BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

    Kelvin C.K. Chan;Xintao Wang;Ke Yu;Chao Dong

  • RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

    Wenlong Zhang;Yihao Liu;Chao Dong;Yu Qiao

  • Efficient Image Super-Resolution Using Pixel Attention

    Hengyuan Zhao;Xiangtao Kong;Jingwen He;Yu Qiao

  • Interpreting Super-Resolution Networks with Local Attribution Maps

    Jinjin Gu;Chao Dong

  • Blueprint Separable Residual Network for Efficient Image Super-Resolution

    Unknown

  • BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network

    Tingting Li;Ruihe Qian;Chao Dong;Si Liu

  • Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

    Ke Yu;Chao Dong;Liang Lin;Chen Change Loy

  • PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

    Jinjin Gu;Haoming Cai;Haoyu Chen;Xiaoxing Ye

  • ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

    Xiangtao Kong;Hengyuan Zhao;Yu Qiao;Chao Dong

Frequent Co-Authors

Yu Qiao
Yu Qiao Chinese Academy of Sciences
Chen Change Loy
Chen Change Loy Nanyang Technological University
Xintao Wang
Xintao Wang Chinese University of Hong Kong
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Radu Timofte
Radu Timofte University of Wurzburg
Jimmy Ren
Jimmy Ren Hong Kong Metropolitan University
Liang Lin
Liang Lin Sun Yat-sen University
Munchurl Kim
Munchurl Kim Korea Advanced Institute of Science and Technology
Ying Shan
Ying Shan Tencent (China)
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras

External Links

Personal website of Chao Dong

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Best Scientists Citing Chao Dong

Radu Timofte

Radu Timofte

University of Wurzburg

Publications: 137

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 68

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 67

Xinbo Gao

Xinbo Gao

Xidian University

Publications: 59

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 54

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 50

Jiaying Liu

Jiaying Liu

Peking University

Publications: 50

Dong Liu

Dong Liu

University of Science and Technology of China

Publications: 48

Wenhan Yang

Wenhan Yang

Peking University

Publications: 46

Feng Wu

Feng Wu

University of Science and Technology of China

Publications: 43

Junjun Jiang

Junjun Jiang

Harbin Institute of Technology

Publications: 43

Xiaohai He

Xiaohai He

Sichuan University

Publications: 41

Shuhang Gu

Shuhang Gu

University of Electronic Science and Technology of China

Publications: 40

Munchurl Kim

Munchurl Kim

Korea Advanced Institute of Science and Technology

Publications: 34

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 33

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 33

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