Sang-Eon Han

107 papers and 990 indexed citations i.

About

Sang-Eon Han is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Sang-Eon Han has authored 107 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 56 papers in Computational Theory and Mathematics and 21 papers in Management Science and Operations Research. Recurrent topics in Sang-Eon Han’s work include Digital Image Processing Techniques (94 papers), Medical Image Segmentation Techniques (32 papers) and Topological and Geometric Data Analysis (32 papers). Sang-Eon Han is often cited by papers focused on Digital Image Processing Techniques (94 papers), Medical Image Segmentation Techniques (32 papers) and Topological and Geometric Data Analysis (32 papers). Sang-Eon Han collaborates with scholars based in South Korea, China and Japan. Sang-Eon Han's co-authors include Alexander Šostak, Wei Yao, Sik Lee, D.N. Georgiou, Jeong Won Kang, Min Suk Kang, Rongxin Wang and Il‐Kang Na and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Sang-Eon Han i

Fields of papers citing papers by Sang-Eon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Eon Han. 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 Sang-Eon Han. The network helps show where Sang-Eon Han may publish in the future.

Countries citing papers authored by Sang-Eon Han

Since Specialization
Citations

This map shows the geographic impact of Sang-Eon Han'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 Sang-Eon Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Eon Han 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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2025