Guolei Sun
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Luc Van GoolRadu TimofteKai ZhangJingyun LiangJiezhang CaoLing ShaoDeng-Ping FanJianbing Shen
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Advanced Neural Network Applications (6 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on MultimediaReviews in Cardiovascular Medicine
- Partner nations
- SwitzerlandChinaSingapore
In The Last Decade
Guolei Sun
20 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 2.7k
- Media Technology 1.2k
- Artificial Intelligence 283
- Biomedical Engineering 224
- Radiology, Nuclear Medicine and Imaging 206
Countries citing papers authored by Guolei Sun
This map shows the geographic impact of Guolei 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 Guolei Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guolei Sun more than expected).
Fields of papers citing papers by Guolei Sun
This network shows the impact of papers produced by Guolei 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 Guolei Sun. The network helps show where Guolei Sun may publish in the future.
Co-authorship network of co-authors of Guolei Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Guolei Sun. A scholar is included among the top collaborators of Guolei 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 Guolei Sun. Guolei 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 67 | |
| 13 | 34 | |
| 14 | SwinIR: Image Restoration Using Swin Transformerbreakdown → | 2401 |
| 15 | 97 | |
| 16 | iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images | 20 |
| 17 | 75 | |
| 18 | 39 | |
| 19 | 10 | |
| 20 | Graph Embedding with Rich Information through Bipartite Heterogeneous Network. | 2 |
About Guolei Sun
Guolei Sun is a scholar working on Computer Vision and Pattern Recognition, Geology and Sensory Systems, having authored 22 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Media Technology (1.2k citations), Computer Vision and Pattern Recognition (2.7k citations) and Instrumentation (41 citations). Guolei Sun has collaborated with scholars based in Switzerland, China and Singapore. Frequent co-authors include Luc Van Gool, Radu Timofte, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ling Shao, Deng-Ping Fan, Jianbing Shen, Ge-Peng Ji and Ming‐Ming Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Reviews in Cardiovascular Medicine.
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.