Sunggyun Park

11 papers and 1.1k indexed citations i.

About

Sunggyun Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Sunggyun Park has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 1 paper in Artificial Intelligence. Recurrent topics in Sunggyun Park’s work include COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Sunggyun Park is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Sunggyun Park collaborates with scholars based in South Korea, United States and France. Sunggyun Park's co-authors include Jin Mo Goo, Eui Jin Hwang, Chang Min Park, Jong Hyuk Lee, Kwang-Nam Jin, Ju Gang Nam, Kun Young Lim, Jae Ho Sohn, Sangheum Hwang and So Young Choi and has published in prestigious journals such as Clinical Infectious Diseases, Radiology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Sunggyun Park i

Fields of papers citing papers by Sunggyun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunggyun Park

Since Specialization
Citations

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