Kyunghwa Han
- Health Informatics top 0.05%
-
- Radiomics and Machine Learning in Medical Imaging 98
- Cardiac Imaging and Diagnostics 42
- MRI in cancer diagnosis 29
- Radiation Dose and Imaging 24
-
- Thyroid Cancer Diagnosis and Treatment 40
- Hepatology top 2%
- Genetics top 2%
- Glioma Diagnosis and Treatment 28
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- Advanced X-ray and CT Imaging 33
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- AI in cancer detection 26
- Co-authors
- Seong Ho ParkEun‐Kyung KimJin Young KwakHee Jung MoonJung Hyun YoonByoung Wook ChoiEun Ju SonSeung‐Koo Lee
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and Metabolism
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Gastroenterology (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Kyunghwa Han
309 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 619
- Radiology, Nuclear Medicine and Imaging 3.9k
- Endocrinology, Diabetes and Metabolism 1.7k
- Hepatology 497
- Genetics 589
Countries citing papers authored by Kyunghwa Han
This map shows the geographic impact of Kyunghwa Han'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 Kyunghwa Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyunghwa Han more than expected).
Fields of papers citing papers by Kyunghwa Han
This network shows the impact of papers produced by Kyunghwa Han. 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 Kyunghwa Han. The network helps show where Kyunghwa Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyunghwa Han, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 33 |
About Kyunghwa Han
Kyunghwa Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Hepatology, having authored 328 papers that have together received 8.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (98 papers), Cardiac Imaging and Diagnostics (42 papers), Thyroid Cancer Diagnosis and Treatment (40 papers), Advanced X-ray and CT Imaging (33 papers), MRI in cancer diagnosis (29 papers), Glioma Diagnosis and Treatment (28 papers), AI in cancer detection (26 papers) and Radiation Dose and Imaging (24 papers). The work is most often cited by research in Health Informatics (619 citations), Radiology, Nuclear Medicine and Imaging (3.9k citations) and Endocrinology, Diabetes and Metabolism (1.7k citations). Kyunghwa Han has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Seong Ho Park, Eun‐Kyung Kim, Jin Young Kwak, Hee Jung Moon, Jung Hyun Yoon, Byoung Wook Choi, Eun Ju Son, Seung‐Koo Lee, Sung Soo Ahn and Ji Soo Choi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.
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.