Hyunna Lee

30 papers and 1.2k indexed citations i.

About

Hyunna Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hyunna Lee has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hyunna Lee’s work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (7 papers). Hyunna Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (7 papers). Hyunna Lee collaborates with scholars based in South Korea, United States and Germany. Hyunna Lee's co-authors include Namkug Kim, Joon Beom Seo, June‐Goo Lee, Sanghoon Jun, Guk Bae Kim, Sungwon Ham, Dong‐Wha Kang, Ji Eun Park, Ho Sung Kim and Jihye Yun and has published in prestigious journals such as Stroke, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Hyunna Lee i

Fields of papers citing papers by Hyunna Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyunna Lee

Since Specialization
Citations

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