Kunyang Sun
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Multimodal Machine Learning Applications
- Media Technology top 10%
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 3
- Quantum Information and Cryptography 1
- Co-authors
- Yongming Huang (3 shared papers)Hao Chen (1 shared paper)Youliang Yan (1 shared paper)Zhi Tian (1 shared paper)Chunhua Shen (1 shared paper)Haoqing Shi (1 shared paper)Zhengming Zhang (1 shared paper)Horst Bischof (2 shared papers)
- Journals
- The Journal of Physical Chemistry C (1 paper)IEEE Robotics and Automation Letters (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
In The Last Decade
Kunyang Sun
6 papers receiving 520 citations
Kunyang Sun's Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 393
- Media Technology 51
- Industrial and Manufacturing Engineering 56
- Artificial Intelligence 140
- Geology 17
Countries citing papers authored by Kunyang Sun
This map shows the geographic impact of Kunyang Sun'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 Kunyang Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunyang Sun more than expected).
Fields of papers citing papers by Kunyang Sun
This network shows the impact of papers produced by Kunyang Sun. 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 Kunyang Sun. The network helps show where Kunyang Sun may publish in the future.
Co-authors
The 22 scholars most cited alongside Kunyang Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation Hit paper breakdown → | 2020 | 431 |
| 2 | 2021 | 82 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 1 |
About Kunyang Sun
Kunyang Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Mechanics and Electrical and Electronic Engineering, having authored 6 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Quantum Information and Cryptography (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Optical Systems and Laser Technology (1 paper), 3D Shape Modeling and Analysis (1 paper), Multimodal Machine Learning Applications (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (393 citations), Media Technology (51 citations), Industrial and Manufacturing Engineering (56 citations), Artificial Intelligence (140 citations) and Geology (17 citations). Kunyang Sun has collaborated with scholars based in China, Australia and Austria. Frequent co-authors include Yongming Huang, Hao Chen, Youliang Yan, Zhi Tian, Chunhua Shen, Haoqing Shi, Zhengming Zhang, Horst Bischof, In So Kweon and Kuk‐Jin Yoon. Their work appears in journals such as The Journal of Physical Chemistry C, IEEE Robotics and Automation Letters, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.