World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
99
Citations
39456
World Ranking
390
National Ranking
47

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Junwei Han is affiliated with Northwestern Polytechnical University in China. Their research primarily falls within the broad field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition.

Their work spans multiple subfields including Artificial Intelligence, Cognitive Neuroscience, Media Technology, and Radiology, Nuclear Medicine and Imaging. Junwei Han's research addresses several key topics:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Visual Attention and Saliency Detection
  • Functional Brain Connectivity Studies
  • Remote-Sensing Image Classification
  • Multimodal Machine Learning Applications

Junwei Han has published extensively in respected venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing

Some of the recent papers associated with their work are:

  • Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Towards Large-Scale Small Object Detection: Survey and Benchmarks, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Anchor-Free Oriented Proposal Generator for Object Detection, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Weakly Supervised Object Localization and Detection: A Survey, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Learning What Not to Segment: A New Perspective on Few-Shot Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Junwei Han collaborates frequently with several researchers, including:

  • Gong Cheng
  • Dingwen Zhang
  • Xiwen Yao
  • Lei Guo
  • Nian Liu

Best Publications

  • Remote Sensing Image Scene Classification: Benchmark and State of the Art

    Gong Cheng;Junwei Han;Xiaoqiang Lu

  • Object detection in optical remote sensing images: A survey and a new benchmark

    Ke Li;Gang Wan;Gong Cheng;Liqiu Meng

  • Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

    Gong Cheng;Peicheng Zhou;Junwei Han

  • A survey on object detection in optical remote sensing images

    Gong Cheng;Junwei Han

  • When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

    Gong Cheng;Ceyuan Yang;Xiwen Yao;Lei Guo

  • Multi-class geospatial object detection and geographic image classification based on collection of part detectors

    Gong Cheng;Junwei Han;Peicheng Zhou;Lei Guo

  • DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

    Nian Liu;Junwei Han

  • PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

    Nian Liu;Junwei Han;Ming-Hsuan Yang

  • Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

    Gong Cheng;Xingxing Xie;Junwei Han;Lei Guo

  • Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

    Junwei Han;Dingwen Zhang;Gong Cheng;Lei Guo

  • Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

    Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu

  • Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework

    Dingwen Zhang;Deyu Meng;Junwei Han

  • Unsupervised extraction of visual attention objects in color images

    J. Han;K.N. Ngan;Mingjing Li;Hong-Jiang Zhang

  • Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

    Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo

  • CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion

    Junwei Han;Hao Chen;Nian Liu;Chenggang Yan

  • Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection

    Gong Cheng;Junwei Han;Peicheng Zhou;Dong Xu

  • Anchor-free Oriented Proposal Generator for Object Detection

    Gong Cheng;Jiabao Wang;Ke Li;Xingxing Xie

  • Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning

    Xiwen Yao;Junwei Han;Gong Cheng;Xueming Qian

  • Detection of Co-salient Objects by Looking Deep and Wide

    Dingwen Zhang;Junwei Han;Chao Li;Jingdong Wang

  • Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

    Gong Cheng;Junwei Han;Lei Guo;Zhenbao Liu

  • Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA

    Gong Cheng;Lei Guo;Tianyun Zhao;Junwei Han

Frequent Co-Authors

Xintao Hu
Xintao Hu Northwestern Polytechnical University
Gong Cheng
Gong Cheng Northwestern Polytechnical University
Kaiming Li
Kaiming Li Sichuan University
Dajiang Zhu
Dajiang Zhu The University of Texas at Arlington
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Xuelong Li
Xuelong Li China Telecom (China)
Jungong Han
Jungong Han Aberystwyth University
Ling Shao
Ling Shao Terminus International
Li Shen
Li Shen University of Pennsylvania
Stephen J. McKenna
Stephen J. McKenna University of Dundee

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