Sung Ha Kang

63 papers and 1.3k indexed citations i.

About

Sung Ha Kang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Epidemiology. According to data from OpenAlex, Sung Ha Kang has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Epidemiology. Recurrent topics in Sung Ha Kang’s work include Medical Image Segmentation Techniques (12 papers), Image and Signal Denoising Methods (11 papers) and Advanced Image Processing Techniques (8 papers). Sung Ha Kang is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Image and Signal Denoising Methods (11 papers) and Advanced Image Processing Techniques (8 papers). Sung Ha Kang collaborates with scholars based in United States, South Korea and Italy. Sung Ha Kang's co-authors include Jianhong Shen, Tony F. Chan, Riccardo March, Jean–François Aujol, Yoon Mo Jung, Young Ree Kim, Wenjing Liao, Andrea L. Bertozzi, Yifei Lou and Stefano Soatto and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Computational Physics and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Sung Ha Kang i

Fields of papers citing papers by Sung Ha Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Ha Kang. 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 Sung Ha Kang. The network helps show where Sung Ha Kang may publish in the future.

Countries citing papers authored by Sung Ha Kang

Since Specialization
Citations

This map shows the geographic impact of Sung Ha Kang'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 Sung Ha Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Ha Kang more than expected).

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.

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