World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
14511
World Ranking
4494
National Ranking
601

Chunhong 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 Chunhong 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: 336 publications — 80th percentile

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

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

Chunhong 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 Chunhong 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Chunhong Pan is affiliated with the Chinese Academy of Sciences in China. Their research primarily spans the fields of computer science and engineering, with significant contributions to subfields such as computer vision and pattern recognition, artificial intelligence, media technology, atmospheric science, and aerospace engineering.

Their work explores several main topics including advanced neural network applications, advanced image and video retrieval techniques, domain adaptation and few-shot learning, advanced image processing techniques, advanced vision and imaging, advanced image fusion techniques, and remote-sensing image classification.

Recent publications by Chunhong Pan include:

  • Spatio-Temporal Graph Structure Learning for Traffic Forecasting (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers (2022), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Multitask Learning for Ship Detection From Synthetic Aperture Radar Images (2021), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Knowledge Mining and Transferring for Domain Adaptive Object Detection (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence

Chunhong Pan frequently collaborates with several researchers, including Shiming Xiang, Chunlei Huo, Gaofeng Meng, Chunxia Zhang, and Jianlong Chang. These coauthors have collaborated on multiple publications, indicating sustained research partnerships.

Their research findings are published in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Best Publications

  • Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

    Gaofeng Meng;Ying Wang;Jiangyong Duan;Shiming Xiang

  • Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu;Bin Fan;Shiming Xiang;Chunhong Pan

  • Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

    Xueyun Chen;Shiming Xiang;Cheng-Lin Liu;Chun-Hong Pan

  • AugFPN: Improving Multi-Scale Feature Learning for Object Detection

    Chaoxu Guo;Bin Fan;Qian Zhang;Shiming Xiang

  • Deep Adaptive Image Clustering

    Jianlong Chang;Lingfeng Wang;Gaofeng Meng;Shiming Xiang

  • Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

    Shiming Xiang;Feiping Nie;Gaofeng Meng;Chunhong Pan

  • Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

    Guangliang Cheng;Ying Wang;Shibiao Xu;Hongzhen Wang

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • Spectral Unmixing via Data-Guided Sparsity

    Feiyun Zhu;Ying Wang;Bin Fan;Shiming Xiang

  • Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

    Yongcheng Liu;Bin Fan;Lingfeng Wang;Jun Bai

  • Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

    Cuicui Kang;Shiming Xiang;Shengcai Liao;Changsheng Xu

  • Spatio-Temporal Graph Structure Learning for Traffic Forecasting

    Qi Zhang;Jianlong Chang;Gaofeng Meng;Shiming Xiang

  • Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images

    Hongzhen Wang;Ying Wang;Qian Zhang;Shiming Xiang

  • Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT

    Bin Fan;Chunlei Huo;Chunhong Pan;Qingqun Kong

  • Edge-Directed Single-Image Super-Resolution Via Adaptive Gradient Magnitude Self-Interpolation

    Lingfeng Wang;Shiming Xiang;Gaofeng Meng;Huaiyu Wu

  • Robust level set image segmentation via a local correntropy-based K-means clustering

    Lingfeng Wang;Chunhong Pan

  • GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction.

    Shen Fang;Qi Zhang;Gaofeng Meng;Shiming Xiang

  • Building extraction from multi-source remote sensing images via deep deconvolution neural networks

    Unknown

  • Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

    Yonghao He;Shiming Xiang;Cuicui Kang;Jian Wang

  • FusionNet: Edge Aware Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images

    Dongcai Cheng;Gaofeng Meng;Shiming Xiang;Chunhong Pan

  • Data guided Sparse Method for Hyperspectral Unmixing.

    Feiyun Zhu;Ying Wang;Gaofeng Meng;Bin Fan

Frequent Co-Authors

Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Gaofeng Meng
Gaofeng Meng Chinese Academy of Sciences
Bin Fan
Bin Fan Carnegie Mellon University
Shengcai Liao
Shengcai Liao United Arab Emirates University
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Ying Wu
Ying Wu Northwestern University
Changshui Zhang
Changshui Zhang Tsinghua University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Gerard Medioni
Gerard Medioni Amazon (United States)
Dawei Du
Dawei Du ByteDance

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