Sungahn Ko
About
Sungahn Ko has authored 21 papers that have received a total of 345 indexed citations.
This includes 13 papers in Computer Vision and Pattern Recognition, 4 papers in Building and Construction and 4 papers in Signal Processing. The topics of these papers are Data Visualization and Analytics (12 papers), Traffic Prediction and Management Techniques (4 papers) and Virus-based gene therapy research (3 papers). Sungahn Ko is often cited by papers focused on Data Visualization and Analytics (12 papers), Traffic Prediction and Management Techniques (4 papers) and Virus-based gene therapy research (3 papers) and collaborates with scholars based in United States, South Korea and China. Sungahn Ko's co-authors include David S. Ebert, Jaegul Choo, Ross Maciejewski, Bum Chul Kwon and Joohee Kim and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Access and Gene Therapy
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