Jun Sun
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Satoshi NaoiWei FanChong LuoShutao LiChang Wen ChenFeng WuLi ChenSong Wang
- Topics
- Handwritten Text Recognition Techniques (51 papers)Advanced Image and Video Retrieval Techniques (37 papers)Image Retrieval and Classification Techniques (33 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jun Sun
179 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 436
- Media Technology 420
- Computer Networks and Communications 310
- Electrical and Electronic Engineering 299
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun 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 Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun 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 Jun Sun. The network helps show where Jun Sun may publish in the future.
Co-authorship network of co-authors of Jun Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sun. A scholar is included among the top collaborators of Jun 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 Jun Sun. Jun 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 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN. | 12 |
| 11 | 0 | |
| 12 | Automatic Identifying Entity Type in Linked Data | 2 |
| 13 | 81 | |
| 14 | Review on Automatic Image Semantic Annotation Techniques | 1 |
| 15 | Classification of Medical Image Based on BP Neural Network | 2 |
| 16 | Content-Based Image Retrieval | 1 |
| 17 | Improved 2D maximum between-cluster variance algorithm and its application to cucumber target segmentation. | 3 |
| 18 | Joint source-channel coding using residual redundancy over noisy channels | 0 |
| 19 | Overview of Spectral Band Replication | 1 |
| 20 | A New Solution for Extracting Laser Pointer Information from Lecture Videos | 1 |
About Jun Sun
Jun Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 203 papers that have together received 2.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (51 papers), Advanced Image and Video Retrieval Techniques (37 papers) and Image Retrieval and Classification Techniques (33 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (420 citations) and Hardware and Architecture (97 citations). Jun Sun has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Satoshi Naoi, Wei Fan, Chong Luo, Shutao Li, Chang Wen Chen, Feng Wu, Li Chen, Song Wang, Z. Deng and Lianwen Jin. Their work appears in journals such as Chemical Engineering Journal, IEEE Transactions on Image Processing and European Heart Journal.
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.