Ke-Kun Huang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Chuan-Xian RenDao‐Qing DaiZhao‐Rong LaiYu‐Feng YuYonghui LiuXiong YongYou-Wei LuoPengfei Ge
- Topics
- Face and Expression Recognition (12 papers)Face recognition and analysis (8 papers)Remote-Sensing Image Classification (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Ke-Kun Huang
32 papers receiving 608 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 170
- Media Technology 132
- Signal Processing 93
- Management Science and Operations Research 46
Countries citing papers authored by Ke-Kun Huang
This map shows the geographic impact of Ke-Kun Huang'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 Ke-Kun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke-Kun Huang more than expected).
Fields of papers citing papers by Ke-Kun Huang
This network shows the impact of papers produced by Ke-Kun Huang. 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 Ke-Kun Huang. The network helps show where Ke-Kun Huang may publish in the future.
Co-authorship network of co-authors of Ke-Kun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ke-Kun Huang. A scholar is included among the top collaborators of Ke-Kun Huang 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 Ke-Kun Huang. Ke-Kun Huang 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 | 5 | |
| 4 | 11 | |
| 5 | 83 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 29 | |
| 9 | 29 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 43 | |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 42 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 24 |
About Ke-Kun Huang
Ke-Kun Huang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Space and Planetary Science, having authored 33 papers that have together received 620 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Face recognition and analysis (8 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Media Technology (132 citations) and Signal Processing (93 citations). Ke-Kun Huang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Chuan-Xian Ren, Dao‐Qing Dai, Zhao‐Rong Lai, Yu‐Feng Yu, Yonghui Liu, Xiong Yong, You-Wei Luo, Pengfei Ge, Mingyong Zhu and Jieli Duan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.
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.