World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
19317
World Ranking
2854
National Ranking
388

Junjun Jiang 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 Junjun Jiang 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Junjun Jiang 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 Junjun Jiang 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Junjun Jiang is affiliated with Harbin Institute of Technology in China, contributing extensively to the fields of computer science and engineering. Their research spans a broad spectrum of topics primarily related to advanced image processing and analysis techniques.

The main fields of study associated with Junjun Jiang's work include:

  • Computer Science
  • Engineering

Within these broad categories, their subfields of study focus on:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Artificial Intelligence
  • Aerospace Engineering
  • Computational Mechanics

Junjun Jiang's research topics cover significant areas such as:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Image Enhancement Techniques
  • Remote-Sensing Image Classification

Key recent publications authored or co-authored by Junjun Jiang include:

  • DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion, 2020, IEEE Transactions on Image Processing
  • Image Matching from Handcrafted to Deep Features: A Survey, 2020, International Journal of Computer Vision
  • Image fusion meets deep learning: A survey and perspective, 2021, Information Fusion
  • FusionDN: A Unified Densely Connected Network for Image Fusion, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion, 2020, Information Fusion

Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Geoscience and Remote Sensing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Among frequent collaborators, Junjun Jiang often works with:

  • Xianming Liu
  • Jiayi Ma
  • Kui Jiang
  • Xiangyang Ji
  • Deming Zhai

Best Publications

  • FusionGAN: A generative adversarial network for infrared and visible image fusion

    Jiayi Ma;Wei Yu;Pengwei Liang;Chang Li

  • U2Fusion: A Unified Unsupervised Image Fusion Network.

    Han Xu;Jiayi Ma;Junjun Jiang;Xiaojie Guo

  • DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion

    Jiayi Ma;Han Xu;Junjun Jiang;Xiaoguang Mei

  • Image Matching from Handcrafted to Deep Features: A Survey

    Jiayi Ma;Xingyu Jiang;Aoxiang Fan;Junjun Jiang

  • Multi-Scale Progressive Fusion Network for Single Image Deraining

    Kui Jiang;Zhongyuan Wang;Peng Yi;Chen Chen

  • Image fusion meets deep learning: A survey and perspective

    Hao Zhang;Han Xu;Xin Tian;Junjun Jiang

  • Locality Preserving Matching

    Jiayi Ma;Ji Zhao;Junjun Jiang;Huabing Zhou

  • Edge-Enhanced GAN for Remote Sensing Image Superresolution

    Kui Jiang;Zhongyuan Wang;Peng Yi;Guangcheng Wang

  • Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming

    Jiayi Ma;Huabing Zhou;Ji Zhao;Yuan Gao

  • FusionDN: A Unified Densely Connected Network for Image Fusion.

    Han Xu;Jiayi Ma;Zhuliang Le;Junjun Jiang

  • Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

    Junjun Jiang;He Sun;Xianming Liu;Jiayi Ma

  • Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion

    Jiayi Ma;Wei Yu;Chen Chen;Pengwei Liang

  • Infrared and visible image fusion via detail preserving adversarial learning

    Jiayi Ma;Pengwei Liang;Wei Yu;Chen Chen

  • SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

    Junjun Jiang;Jiayi Ma;Chen Chen;Zhongyuan Wang

  • Locality Preserving Matching.

    Jiayi Ma;Ji Zhao;Hanqi Guo;Junjun Jiang

  • Guided Locality Preserving Feature Matching for Remote Sensing Image Registration

    Jiayi Ma;Junjun Jiang;Huabing Zhou;Ji Zhao

  • Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

    Peng Yi;Zhongyuan Wang;Kui Jiang;Junjun Jiang

  • Noise Robust Face Hallucination via Locality-Constrained Representation

    Junjun Jiang;Ruimin Hu;Zhongyuan Wang;Zhen Han

  • Hierarchical dense recursive network for image super-resolution

    Kui Jiang;Zhongyuan Wang;Peng Yi;Junjun Jiang

  • LMR: Learning a Two-Class Classifier for Mismatch Removal

    Jiayi Ma;Xingyu Jiang;Junjun Jiang;Ji Zhao

  • Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means

    Junjun Jiang;Xiang Ma;Chen Chen;Tao Lu

Frequent Co-Authors

Jiayi Ma
Jiayi Ma Wuhan University
Yi Yu
Yi Yu Hiroshima University
Xiaojie Guo
Xiaojie Guo Tianjin University
Zhihua Cai
Zhihua Cai China University of Geosciences, Wuhan
Zixiang Xiong
Zixiang Xiong Texas A&M University
Xiangyang Ji
Xiangyang Ji Tsinghua University
Jun Chen
Jun Chen Nankai University
Baochang Zhang
Baochang Zhang Beihang University
Yuan Gao
Yuan Gao Northeastern University
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics

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