Kun Sun
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Wenbing TaoKunqian LiQi QiZhi ChenChang TangGuojia HouFan YangHaiyong Zheng
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Robotics and Sensor-Based Localization (13 papers)Advanced Neural Network Applications (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kun Sun
49 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 594
- Aerospace Engineering 242
- Media Technology 133
- Artificial Intelligence 131
- Computational Mechanics 96
Countries citing papers authored by Kun Sun
This map shows the geographic impact of Kun 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 Kun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Sun more than expected).
Fields of papers citing papers by Kun Sun
This network shows the impact of papers produced by Kun 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 Kun Sun. The network helps show where Kun Sun may publish in the future.
Co-authorship network of co-authors of Kun Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Sun. A scholar is included among the top collaborators of Kun 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 Kun Sun. Kun Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 36 | |
| 13 | SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perceptionbreakdown → | 159 |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 23 | |
| 18 | 20 | |
| 19 | 13 | |
| 20 | 20 |
About Kun Sun
Kun Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 54 papers that have together received 905 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (594 citations), Computational Mathematics (14 citations) and Geology (94 citations). Kun Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenbing Tao, Kunqian Li, Qi Qi, Zhi Chen, Chang Tang, Guojia Hou, Fan Yang, Haiyong Zheng, Xiang Gao and Wei Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.