Kun Fu
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Ocean Engineering top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Remote-Sensing Image Classification (9 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers)
- Journals
- Journal of Power SourcesIEEE Transactions on Geoscience and Remote SensingIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Fu
28 papers receiving 501 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 308
- Media Technology 216
- Aerospace Engineering 156
- Artificial Intelligence 61
- Ocean Engineering 50
Countries citing papers authored by Kun Fu
This map shows the geographic impact of Kun Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).
Fields of papers citing papers by Kun Fu
This network shows the impact of papers produced by Kun Fu. 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 Fu. The network helps show where Kun Fu may publish in the future.
Co-authorship network of co-authors of Kun Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Fu. A scholar is included among the top collaborators of Kun Fu 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 Fu. Kun Fu 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 | 4 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 31 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 26 | |
| 11 | 9 | |
| 12 | 72 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 99 | |
| 17 | 1 | |
| 18 | SAR Image Localization Using Rigorous SAR Collinearity Equation Model | 3 |
| 19 | A Method for Extracting Texture Characters from Large-Scale Remote Sensing Image | 1 |
| 20 | 23 |
About Kun Fu
Kun Fu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 30 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers). The work is most often cited by research in Media Technology (216 citations), Computer Vision and Pattern Recognition (308 citations) and Computational Mathematics (4 citations). Kun Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xian Sun, Hongqi Wang, Wenhui Diao, Tao Xu, Liangjin Zhao, Junxi Li, Eng Kiong Wong, Wenkai Zhang, Xuexue Li and Zhirui Wang. Their work appears in journals such as Journal of Power Sources, IEEE Transactions on Geoscience and Remote Sensing and IEEE Journal on Selected Areas in Communications.
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.