Sangheum Hwang

26 papers and 656 indexed citations i.

About

Sangheum Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Sangheum Hwang has authored 26 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Sangheum Hwang’s work include Advanced Neural Network Applications (5 papers), COVID-19 diagnosis using AI (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). Sangheum Hwang is often cited by papers focused on Advanced Neural Network Applications (5 papers), COVID-19 diagnosis using AI (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). Sangheum Hwang collaborates with scholars based in South Korea and United States. Sangheum Hwang's co-authors include Hyoeun Kim, Kwang-Nam Jin, Jin Mo Goo, Eui Jin Hwang, Jong Hyuk Lee, Jae Ho Sohn, Kun Young Lim, Ju Gang Nam, Chang Min Park and Sunggyun Park and has published in prestigious journals such as Applied Physics Letters, Cancer Research and Radiology.

In The Last Decade

Co-authorship network of co-authors of Sangheum Hwang i

Fields of papers citing papers by Sangheum Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangheum Hwang. 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 Sangheum Hwang. The network helps show where Sangheum Hwang may publish in the future.

Countries citing papers authored by Sangheum Hwang

Since Specialization
Citations

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