Inpyeong Hwang
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- Radiomics and Machine Learning in Medical Imaging 18
- MRI in cancer diagnosis 13
- Advanced MRI Techniques and Applications 13
- Advanced Neuroimaging Techniques and Applications 10
- Medical Imaging Techniques and Applications 6
- Health Informatics top 5%
- Hepatology top 10%
- Genetics top 10%
- Glioma Diagnosis and Treatment 13
- Neurology top 10%
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- Cerebrovascular and Carotid Artery Diseases 7
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- Thyroid Cancer Diagnosis and Treatment 7
- Co-authors
- Ji‐hoon KimTae Jin YunChul‐Ho SohnKoung Mi KangRoh‐Eul YooSeung Hong ChoiByung Ihn ChoiJeong Min Lee
- Journals
- SHILAP Revista de lepidopterología (1 paper)Clinical Infectious Diseases (1 paper)Scientific Reports (8 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Inpyeong Hwang
58 papers receiving 920 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 511
- Health Informatics 29
- Hepatology 108
- Genetics 114
- Neurology 114
Countries citing papers authored by Inpyeong Hwang
This map shows the geographic impact of Inpyeong Hwang'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 Inpyeong Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inpyeong Hwang more than expected).
Fields of papers citing papers by Inpyeong Hwang
This network shows the impact of papers produced by Inpyeong Hwang. 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 Inpyeong Hwang. The network helps show where Inpyeong Hwang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inpyeong Hwang, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 2 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 18 | |
| 17 | 2019 | 30 | |
| 18 | 2019 | 12 | |
| 19 | 2014 | 46 | |
| 20 | 2013 | 40 |
About Inpyeong Hwang
Inpyeong Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology, having authored 64 papers that have together received 938 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (13 papers), Glioma Diagnosis and Treatment (13 papers), Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (511 citations), Health Informatics (29 citations) and Hepatology (108 citations). Inpyeong Hwang has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Ji‐hoon Kim, Tae Jin Yun, Chul‐Ho Sohn, Koung Mi Kang, Roh‐Eul Yoo, Seung Hong Choi, Byung Ihn Choi, Jeong Min Lee, Jeong Hee Yoon and Joon Koo Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.
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.