World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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
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
Kaiqi Huang
Kaiqi Huang Chinese Academy of Sciences
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Gerard Medioni
Gerard Medioni Amazon (United States)
Dawei Du
Dawei Du ByteDance

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:

Related Online Degrees & Career Pathways

Expanding your study of Computer Science in the USA opens up a wide range of online degree and certification options. Many students choose specialized programs, such as those offered by the top online electrical engineering schools, to further enhance their technical skills. These schools provide the flexibility of remote learning without sacrificing the quality of education.

If you’re looking to quickly boost your resume, explore easy certifications to get that can lead to well-paid positions in the tech industry. Certifications in areas like networking, cybersecurity, and cloud computing are increasingly valued by employers and can be completed in a shorter time frame.

For those interested in advancing their credentials efficiently, check out the quickest online masters degree programs. These accelerated pathways allow you to earn a graduate degree in as little as one year, helping you stay competitive in a fast-evolving job market.

Ultimately, investing in most valuable masters degrees can significantly improve your career prospects and earning potential. Choosing the right online path ensures you gain relevant skills and invaluable industry connections for long-term success.

Best Scientists Citing Chunhong Pan

Trending Scientists

Recently Published Articles