Ho‐Chun Song

89 papers and 1.2k indexed citations i.

About

Ho‐Chun Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ho‐Chun Song has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pulmonary and Respiratory Medicine and 23 papers in Surgery. Recurrent topics in Ho‐Chun Song’s work include Medical Imaging Techniques and Applications (20 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Ho‐Chun Song is often cited by papers focused on Medical Imaging Techniques and Applications (20 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Ho‐Chun Song collaborates with scholars based in South Korea, United States and Bangladesh. Ho‐Chun Song's co-authors include Hee‐Seung Bom, Jung‐Joon Min, Jahae Kim, Ari Chong, Jong-Ryool Oh, Sae‐Ryung Kang, Sang‐Geon Cho, Seong Young Kwon, Su Woong Yoo and Jung‐Min Ha and has published in prestigious journals such as Stroke, Annals of Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ho‐Chun Song i

Fields of papers citing papers by Ho‐Chun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho‐Chun Song. 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 Ho‐Chun Song. The network helps show where Ho‐Chun Song may publish in the future.

Countries citing papers authored by Ho‐Chun Song

Since Specialization
Citations

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