Jihye Yun
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 19
- COVID-19 diagnosis using AI 8
- MRI in cancer diagnosis 4
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- Lung Cancer Diagnosis and Treatment 18
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Otorhinolaryngology top 10%
- Health Information Management top 10%
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- Colorectal Cancer Screening and Detection 4
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Namkug KimYongwon ChoJoon Beom SeoHyun‐Jin BaeKeewon ShinRyoungwoo JangMingyu KimSungwon Ham
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- South KoreaUnited StatesBelarus
In The Last Decade
Jihye Yun
31 papers receiving 973 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 56
- Radiology, Nuclear Medicine and Imaging 564
- Pulmonary and Respiratory Medicine 323
- Otorhinolaryngology 40
- Health Information Management 28
Countries citing papers authored by Jihye Yun
This map shows the geographic impact of Jihye Yun'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 Jihye Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihye Yun more than expected).
Fields of papers citing papers by Jihye Yun
This network shows the impact of papers produced by Jihye Yun. 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 Jihye Yun. The network helps show where Jihye Yun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jihye Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 17 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 23 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 25 | |
| 11 | 2021 | 83 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 32 | |
| 16 | 2020 | 44 | |
| 17 | 2019 | 0 | |
| 18 | 2019 | 77 | |
| 19 | 2019 | 82 | |
| 20 | 2018 | 75 |
About Jihye Yun
Jihye Yun is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 985 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (18 papers), COVID-19 diagnosis using AI (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), MRI in cancer diagnosis (4 papers), Colorectal Cancer Screening and Detection (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (564 citations) and Pulmonary and Respiratory Medicine (323 citations). Jihye Yun has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Namkug Kim, Yongwon Cho, Joon Beom Seo, Hyun‐Jin Bae, Keewon Shin, Ryoungwoo Jang, Mingyu Kim, Sungwon Ham, Sang Min Lee and Ho Sung Kim. Their work appears in journals such as Scientific Reports, Radiology and Physics in Medicine and Biology.
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.