Hyeokho Choi
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Computational Mechanics top 5%
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Richard G. BaraniukJustin RombergWai Lam ChanMichael B. WakinN. KingsburyD.C. MunsonDavid C. MunsonDavid L. Donoho
- Topics
- Image and Signal Denoising Methods (31 papers)Medical Image Segmentation Techniques (18 papers)Image Retrieval and Classification Techniques (9 papers)
- Partner nations
- United StatesSouth KoreaPortugal
In The Last Decade
Hyeokho Choi
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 476
- Computational Mechanics 160
- Signal Processing 147
- Biomedical Engineering 87
Countries citing papers authored by Hyeokho Choi
This map shows the geographic impact of Hyeokho Choi'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 Hyeokho Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeokho Choi more than expected).
Fields of papers citing papers by Hyeokho Choi
This network shows the impact of papers produced by Hyeokho Choi. 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 Hyeokho Choi. The network helps show where Hyeokho Choi may publish in the future.
Co-authorship network of co-authors of Hyeokho Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Hyeokho Choi. A scholar is included among the top collaborators of Hyeokho Choi 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 Hyeokho Choi. Hyeokho Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 97 | |
| 2 | 55 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 27 | |
| 6 | Distributed Multiscale Data Analysis and Processing for Sensor Networks | 4 |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 39 | |
| 10 | Hidden Markov Tree Models for Complex Wavelet Transforms | 12 |
| 11 | 55 | |
| 12 | 24 | |
| 13 | 338 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Monte Carlo simulation of the temporal and spectral responses of the pulsed neutron logging principle | 7 |
About Hyeokho Choi
Hyeokho Choi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (31 papers), Medical Image Segmentation Techniques (18 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Media Technology (476 citations), Computer Vision and Pattern Recognition (1.0k citations) and Signal Processing (147 citations). Hyeokho Choi has collaborated with scholars based in United States, South Korea and Portugal. Frequent co-authors include Richard G. Baraniuk, Justin Romberg, Wai Lam Chan, Michael B. Wakin, N. Kingsbury, D.C. Munson, David C. Munson, David L. Donoho, Raymond Wagner and Véronique Delouille. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Optics Letters.
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.