Jiangtao Kuang
- Computer Vision and Pattern Recognition top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Media Technology top 5%
- Cognitive Neuroscience
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Mark D. FairchildGarrett JohnsonHiroshi YamaguchiChangmeng LiuRemco MuijsWeihua XiongXiaoyun JiangXiaoyong Wang
- Topics
- Color Science and Applications (13 papers)Image Enhancement Techniques (13 papers)Advanced Image Fusion Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Journal of Visual Communication and Image RepresentationColor Research & ApplicationACM Transactions on Applied Perception
- Partner nations
- United StatesNetherlands
In The Last Decade
Jiangtao Kuang
14 papers receiving 422 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 409
- Atomic and Molecular Physics, and Optics 257
- Media Technology 130
- Cognitive Neuroscience 53
- Computer Graphics and Computer-Aided Design 41
Countries citing papers authored by Jiangtao Kuang
This map shows the geographic impact of Jiangtao Kuang'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 Jiangtao Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangtao Kuang more than expected).
Fields of papers citing papers by Jiangtao Kuang
This network shows the impact of papers produced by Jiangtao Kuang. 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 Jiangtao Kuang. The network helps show where Jiangtao Kuang may publish in the future.
Co-authorship network of co-authors of Jiangtao Kuang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangtao Kuang. A scholar is included among the top collaborators of Jiangtao Kuang 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 Jiangtao Kuang. Jiangtao Kuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 241 | |
| 8 | 86 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 58 | |
| 14 | 5 |
About Jiangtao Kuang
Jiangtao Kuang is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology, having authored 14 papers that have together received 455 indexed citations. Recurring topics across this work include Color Science and Applications (13 papers), Image Enhancement Techniques (13 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (409 citations), Media Technology (130 citations) and Computer Graphics and Computer-Aided Design (41 citations). Jiangtao Kuang has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Mark D. Fairchild, Garrett Johnson, Hiroshi Yamaguchi, Changmeng Liu, Remco Muijs, Weihua Xiong, Xiaoyun Jiang and Xiaoyong Wang. Their work appears in journals such as Journal of Visual Communication and Image Representation, Color Research & Application and ACM Transactions on Applied Perception.
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.