Hyun-Soo Choi
- Health Informatics top 10%
- Signal Processing top 5%
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 9
- Rehabilitation top 10%
- Artificial Intelligence top 10%
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- Image and Video Quality Assessment 5
- Robotic Path Planning Algorithms 4
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- ECG Monitoring and Analysis 4
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- Advanced Image Fusion Techniques 3
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- Smart Parking Systems Research 3
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- Phonocardiography and Auscultation Techniques 3
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- Computational Drug Discovery Methods 3
- Journals
- Scientific Reports (2 papers)IEEE Access (7 papers)British Journal of Anaesthesia (1 paper)
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Hyun-Soo Choi
51 papers receiving 761 citations
Peers
Comparison fields: 5 of 122
- Health Informatics 22
- Signal Processing 109
- Cognitive Neuroscience 179
- Rehabilitation 55
- Artificial Intelligence 178
Countries citing papers authored by Hyun-Soo Choi
This map shows the geographic impact of Hyun-Soo 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 Hyun-Soo Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun-Soo Choi more than expected).
Fields of papers citing papers by Hyun-Soo Choi
This network shows the impact of papers produced by Hyun-Soo 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 Hyun-Soo Choi. The network helps show where Hyun-Soo Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyun-Soo Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 26 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 24 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 20 | |
| 17 | 2019 | 18 | |
| 18 | Deep Recurrent Neural Network-Based Identification of Precursor microRNAs | 2017 | 22 |
| 19 | Perceptual Video Quality Analysis in the Modified Wavelet Domain | 2005 | 2 |
| 20 | Objective video quality assessment using wavelet transform coefficients with adaptive threshold | 2005 | 1 |
About Hyun-Soo Choi
Hyun-Soo Choi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 60 papers that have together received 779 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Image and Video Quality Assessment (5 papers), ECG Monitoring and Analysis (4 papers), Robotic Path Planning Algorithms (4 papers), Advanced Image Fusion Techniques (3 papers), Smart Parking Systems Research (3 papers), Phonocardiography and Auscultation Techniques (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Health Informatics (22 citations), Signal Processing (109 citations) and Cognitive Neuroscience (179 citations). Hyun-Soo Choi has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Sungroh Yoon, Byunghan Lee, Siwon Kim, Yuna Lee, Hyejin Lee, Sung‐Bom Pyun, Seonwoo Min, Chulhee Lee, Ho Bae and Seunghyun Park. Their work appears in journals such as Scientific Reports, IEEE Access and British Journal of Anaesthesia.
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.