Hyeyoon Chang

26 papers and 540 indexed citations i.

About

Hyeyoon Chang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Hyeyoon Chang has authored 26 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Hyeyoon Chang’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Hyeyoon Chang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Hyeyoon Chang collaborates with scholars based in South Korea, United States and Taiwan. Hyeyoon Chang's co-authors include Aeree Kim, Baek‐hui Kim, Hayeon Kim, Jienan Kong, Aeree Kim, Han Kyeom Kim, Wonkyung Jung, Woon Yong Jung, Chung‐Cheng Huang and Hao Lin and has published in prestigious journals such as Cancer Research, Oncogene and Human Pathology.

In The Last Decade

Co-authorship network of co-authors of Hyeyoon Chang i

Fields of papers citing papers by Hyeyoon Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyeyoon Chang

Since Specialization
Citations

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