K.C. Chou
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Media Technology top 5%
- Co-authors
- Alan S. WillskyAlbert BenvenisteRamine NikoukhahS. GoldenMichèle BassevilleLarry HeckVassilios DigalakisGary S. Guthart
- Topics
- Image and Signal Denoising Methods (17 papers)Statistical and numerical algorithms (7 papers)Neural Networks and Applications (5 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Information TheorySignal Processing
- Partner nations
- United StatesFrance
In The Last Decade
K.C. Chou
19 papers receiving 556 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 207
- Control and Systems Engineering 123
- Signal Processing 79
- Media Technology 79
Countries citing papers authored by K.C. Chou
This map shows the geographic impact of K.C. Chou'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 K.C. Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.C. Chou more than expected).
Fields of papers citing papers by K.C. Chou
This network shows the impact of papers produced by K.C. Chou. 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 K.C. Chou. The network helps show where K.C. Chou may publish in the future.
Co-authorship network of co-authors of K.C. Chou
This figure shows the co-authorship network connecting the top 25 collaborators of K.C. Chou. A scholar is included among the top collaborators of K.C. Chou 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 K.C. Chou. K.C. Chou 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 | 9 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 183 | |
| 13 | 88 | |
| 14 | Selecting numbers of transducers, filter lengths for neutralized-feedforward active noise control | 1 |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 206 | |
| 18 | 0 | |
| 19 | 25 | |
| 20 | A multi-resolution, probabilistic approach to 2D inverse conductivity problems | 1 |
About K.C. Chou
K.C. Chou is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 24 papers that have together received 599 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Statistical and numerical algorithms (7 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Media Technology (79 citations) and Signal Processing (79 citations). K.C. Chou has collaborated with scholars based in United States and France. Frequent co-authors include Alan S. Willsky, Albert Benveniste, Ramine Nikoukhah, S. Golden, Michèle Basseville, Larry Heck, Vassilios Digalakis, Gary S. Guthart, Decision Systems. and Mark R. Luettgen. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Signal Processing.
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.