Junwei Han

39.8k total citations · 23 hit papers
497 papers, 28.8k citations indexed

About

Junwei Han is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Junwei Han has authored 497 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 298 papers in Computer Vision and Pattern Recognition, 113 papers in Cognitive Neuroscience and 106 papers in Artificial Intelligence. Recurrent topics in Junwei Han's work include Advanced Image and Video Retrieval Techniques (142 papers), Advanced Neural Network Applications (94 papers) and Visual Attention and Saliency Detection (85 papers). Junwei Han is often cited by papers focused on Advanced Image and Video Retrieval Techniques (142 papers), Advanced Neural Network Applications (94 papers) and Visual Attention and Saliency Detection (85 papers). Junwei Han collaborates with scholars based in China, United States and United Kingdom. Junwei Han's co-authors include Gong Cheng, Lei Guo, Dingwen Zhang, Nian Liu, Peicheng Zhou, Xiwen Yao, Ke Li, Xingxing Xie, Feiping Nie and Xuelong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Junwei Han

481 papers receiving 28.1k citations

Hit Papers

Object detection in optical remote sensing images:... 2014 2026 2018 2022 2019 2016 2016 2018 2014 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Object detection in optical remote sensing images: A survey and a new benchmark
    2019 1.4k citations Gong Cheng, Junwei Han et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
  2. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
    2016 1.4k citations Gong Cheng, Junwei Han et al. profile →
  3. A survey on object detection in optical remote sensing images
    2016 1.1k citations Gong Cheng, Junwei Han ISPRS Journal of Photogrammetry and Remote Sensing profile →
  4. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
    2018 1.0k citations Gong Cheng, Xiwen Yao et al. profile →
  5. Multi-class geospatial object detection and geographic image classification based on collection of part detectors
    2014 732 citations Gong Cheng, Junwei Han et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
  6. Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
    2020 701 citations Gong Cheng, Junwei Han et al. profile →
  7. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
    2018 642 citations Junwei Han et al. profile →
  8. DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
    2016 602 citations Junwei Han et al. profile →
  9. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
    2014 588 citations Junwei Han, Dingwen Zhang et al. profile →
  10. Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
    2018 482 citations Junwei Han, Dingwen Zhang et al. profile →
  11. Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
    2016 432 citations Dingwen Zhang, Junwei Han et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  12. Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
    2014 372 citations Junwei Han, Xintao Hu et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
  13. Towards Large-Scale Small Object Detection: Survey and Benchmarks
    2023 344 citations Gong Cheng, Xiwen Yao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  14. Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
    2018 343 citations Gong Cheng, Junwei Han et al. profile →
  15. CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion
    2017 337 citations Junwei Han et al. profile →
  16. Anchor-Free Oriented Proposal Generator for Object Detection
    2022 306 citations Gong Cheng, Chunbo Lang et al. profile →
  17. Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning
    2016 295 citations Xiwen Yao, Junwei Han et al. profile →
  18. Detection of Co-salient Objects by Looking Deep and Wide
    2016 277 citations Dingwen Zhang, Junwei Han et al. profile →
  19. Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
    2020 254 citations Junwei Han et al. profile →
  20. Weakly Supervised Object Localization and Detection: A Survey
    2021 209 citations Dingwen Zhang, Junwei Han et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  21. Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
    2022 193 citations Chunbo Lang, Gong Cheng et al. profile →
  22. Base and Meta: A New Perspective on Few-Shot Segmentation
    2023 107 citations Chunbo Lang, Gong Cheng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  23. VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
    2024 48 citations Dingwen Zhang, Junwei Han et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junwei Han China 85 19.2k 9.2k 5.3k 3.2k 2.8k 497 28.8k
Ming‐Ming Cheng China 73 24.3k 1.3× 4.3k 0.5× 4.4k 0.8× 3.0k 0.9× 2.7k 1.0× 214 30.2k
Ming–Hsuan Yang United States 104 46.0k 2.4× 8.5k 0.9× 5.8k 1.1× 6.0k 1.9× 1.6k 0.6× 552 52.6k
Xiaoou Tang Hong Kong 81 35.4k 1.8× 7.4k 0.8× 6.5k 1.2× 1.6k 0.5× 1.2k 0.4× 267 42.5k
Jiaya Jia Hong Kong 78 27.8k 1.4× 7.7k 0.8× 5.9k 1.1× 3.4k 1.1× 610 0.2× 218 36.2k
Jian Sun China 64 23.6k 1.2× 5.8k 0.6× 3.4k 0.6× 2.7k 0.9× 605 0.2× 186 31.1k
Ling Shao China 97 31.5k 1.6× 6.1k 0.7× 10.4k 1.9× 2.4k 0.7× 896 0.3× 680 41.4k
Jianping Shi China 41 15.6k 0.8× 3.5k 0.4× 5.6k 1.0× 2.5k 0.8× 521 0.2× 108 23.2k
Dacheng Tao Australia 125 42.9k 2.2× 11.9k 1.3× 18.9k 3.6× 2.6k 0.8× 935 0.3× 1.1k 61.0k
Yangqing Jia United States 24 27.0k 1.4× 4.4k 0.5× 14.2k 2.7× 2.4k 0.8× 1.3k 0.5× 39 44.1k
Piotr Dollár United States 37 24.5k 1.3× 3.2k 0.4× 9.7k 1.8× 3.0k 0.9× 913 0.3× 45 36.7k

Countries citing papers authored by Junwei Han

Since Specialization
Citations

This map shows the geographic impact of Junwei Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junwei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Han more than expected).

Fields of papers citing papers by Junwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junwei Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junwei Han. The network helps show where Junwei Han may publish in the future.

Co-authorship network of co-authors of Junwei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Han. A scholar is included among the top collaborators of Junwei Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junwei Han. Junwei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Gong, et al.. (2025). Adaptive Discrepancy Masked Distillation for remote sensing object detection. ISPRS Journal of Photogrammetry and Remote Sensing. 222. 54–63. 1 indexed citations
2.
Huang, Zhongling, et al.. (2025). Physics-Guided Detector for SAR Airplanes. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12082–12095. 1 indexed citations
3.
Chen, Xianmin, et al.. (2025). Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 406–420. 1 indexed citations
4.
Yang, Libin, et al.. (2024). An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph. Neural Networks. 174. 106219–106219. 8 indexed citations
5.
He, Weihua, Yihan Lin, Yang Tian, et al.. (2024). Network model with internal complexity bridges artificial intelligence and neuroscience. Nature Computational Science. 4(8). 584–599. 6 indexed citations
6.
Li, Yang, Songyao Zhang, Weihan Zhang, et al.. (2024). Contrastive machine learning reveals species -shared and -specific brain functional architecture. Medical Image Analysis. 101. 103431–103431. 1 indexed citations
7.
Yang, Libin, et al.. (2024). PhraseAug: An Augmented Medical Report Generation Model With Phrasebook. IEEE Transactions on Medical Imaging. 43(12). 4211–4223. 4 indexed citations
8.
Cheng, Gong, et al.. (2024). Task-Specific Importance-Awareness Matters: On Targeted Attacks Against Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11619–11629. 10 indexed citations
9.
Huang, Zhongling, Chong Wu, Xiwen Yao, et al.. (2023). Physics inspired hybrid attention for SAR target recognition. ISPRS Journal of Photogrammetry and Remote Sensing. 207. 164–174. 28 indexed citations
10.
Min, Weidong, et al.. (2023). Improved channel attention methods via hierarchical pooling and reducing information loss. Pattern Recognition. 148. 110148–110148. 7 indexed citations
11.
Zhang, Shu, et al.. (2023). A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1613–1622. 4 indexed citations
12.
Han, Longfei, et al.. (2023). Giving Text More Imagination Space for Image-text Matching. 6359–6368. 4 indexed citations
13.
Cheng, Gong, Chunbo Lang, & Junwei Han. (2022). Holistic Prototype Activation for Few-Shot Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–17. 109 indexed citations
14.
Zhang, Dingwen, et al.. (2020). Cross-modality deep feature learning for brain tumor segmentation. Pattern Recognition. 110. 107562–107562. 212 indexed citations
15.
Lv, Jinglei, Xi Jiang, Xiang Li, et al.. (2015). Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data. Psychiatry Research Neuroimaging. 233(2). 254–268. 29 indexed citations
16.
Han, Junwei, et al.. (2014). Spatial and temporal visual attention prediction in videos using eye movement data. Neurocomputing. 145. 140–153. 20 indexed citations
17.
Han, Junwei, Xiang Ji, Xintao Hu, Jungong Han, & Tianming Liu. (2014). Clustering and retrieval of video shots based on natural stimulus fMRI. Neurocomputing. 144. 128–137. 10 indexed citations
18.
Han, Junwei, Kaiming Li, Ling Shao, et al.. (2014). Video abstraction based on fMRI-driven visual attention model. Information Sciences. 281. 781–796. 16 indexed citations
19.
Hu, Xintao, et al.. (2013). A linear model for characterization of synchronization frequencies of neural networks. Cognitive Neurodynamics. 8(1). 55–69. 3 indexed citations
20.
Han, Junwei & Lei Guo. (2001). An algorithm for automatic detection of runways in aerial images. 10(4). 503–518. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Breakdown of academic impact, for papers by Ming‐Ming Cheng Breakdown of academic impact, for papers by Ming–Hsuan Yang Breakdown of academic impact, for papers by Xiaoou Tang Breakdown of academic impact, for papers by Jiaya Jia Breakdown of academic impact, for papers by Jian Sun Breakdown of academic impact, for papers by Ling Shao Breakdown of academic impact, for papers by Jianping Shi Breakdown of academic impact, for papers by Dacheng Tao Breakdown of academic impact, for papers by Yangqing Jia Breakdown of academic impact, for papers by Piotr Dollár
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