Kunyang Sun

841 total citations · 1 hit paper
6 papers, 528 citations indexed

About

Kunyang Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kunyang Sun has authored 6 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Kunyang Sun's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Kunyang Sun is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Kunyang Sun collaborates with scholars based in China, Australia and Austria. Kunyang Sun's co-authors include Yongming Huang, Chunhua Shen, Youliang Yan, Hao Chen, Zhi Tian, Zhengming Zhang, Haoqing Shi, Horst Bischof, Yu Liu and Inkyu Shin and has published in prestigious journals such as The Journal of Physical Chemistry C, IEEE Robotics and Automation Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Kunyang Sun

6 papers receiving 520 citations

Hit Papers

BlendMask: Top-Down Meets Bottom-Up for Instance Segmenta... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Kunyang Sun
Kunyang Sun
Citations per year, relative to Kunyang Sun Kunyang Sun (= 1×) peers Zhenhang Huang

Countries citing papers authored by Kunyang Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kunyang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kunyang Sun. A scholar is included among the top collaborators of Kunyang Sun 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 Kunyang Sun. Kunyang Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Sun, Kunyang, Matthew Du, & Joel Yuen-Zhou. (2025). Exploring the Delocalization of Dark States in a Multimode Optical Cavity. The Journal of Physical Chemistry C. 129(21). 9837–9843. 1 indexed citations
2.
Wei, Huang, et al.. (2024). Vision Image Aided Near-Field Beam Training for Internet of Vehicle Systems. 390–395. 1 indexed citations
3.
Sun, Kunyang, Wei Lin, Yu Liu, et al.. (2023). AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection. IEEE Robotics and Automation Letters. 8(6). 3645–3652. 7 indexed citations
4.
Shin, Inkyu, Kunyang Sun, Mateusz Koziński, et al.. (2023). MATE: Masked Autoencoders are Online 3D Test-Time Learners. 16663–16672. 6 indexed citations
5.
Sun, Kunyang, Haoqing Shi, Zhengming Zhang, & Yongming Huang. (2021). ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7263–7272. 82 indexed citations
6.
Chen, Hao, Kunyang Sun, Zhi Tian, et al.. (2020). BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 8570–8578. 431 indexed citations breakdown →

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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