Seung Seog Han

31 papers and 1.5k indexed citations i.

About

Seung Seog Han is a scholar working on Oncology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Seung Seog Han has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Epidemiology and 8 papers in Artificial Intelligence. Recurrent topics in Seung Seog Han’s work include Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (8 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Seung Seog Han is often cited by papers focused on Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (8 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Seung Seog Han collaborates with scholars based in South Korea, United States and Chile. Seung Seog Han's co-authors include Sung Eun Chang, Woohyung Lim, Ilwoo Park, Gyeong‐Hun Park, Myoung Shin Kim, Brian F. Feeny, Ho Gyu Yoon, Whan Gun Kim, Jung‐Im Na and Seok Won Chung and has published in prestigious journals such as PLoS ONE, Scientific Reports and Polymer.

In The Last Decade

Co-authorship network of co-authors of Seung Seog Han i

Fields of papers citing papers by Seung Seog Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Seog 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 Seung Seog Han. The network helps show where Seung Seog Han may publish in the future.

Countries citing papers authored by Seung Seog Han

Since Specialization
Citations

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