Bo Yun Hur
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 12
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 6
- Oncology top 10%
- Colorectal Cancer Surgical Treatments 11
- Colorectal Cancer Screening and Detection 5
- Surgery top 10%
- Colorectal and Anal Carcinomas 6
- Gastroenterology top 10%
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- Liver Disease Diagnosis and Treatment 9
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- Advanced X-ray and CT Imaging 6
- Co-authors
- Joon Koo HanJeong Min LeeIjin JooDong Ho LeeByung Ihn ChoiJeong Hee YoonKyung‐Suk SuhHyo‐Jin Kang
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Bo Yun Hur
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 60
- Hepatology 276
- Radiology, Nuclear Medicine and Imaging 591
- Oncology 422
- Surgery 330
- Gastroenterology 38
Countries citing papers authored by Bo Yun Hur
This map shows the geographic impact of Bo Yun Hur'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 Bo Yun Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Yun Hur more than expected).
Fields of papers citing papers by Bo Yun Hur
This network shows the impact of papers produced by Bo Yun Hur. 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 Bo Yun Hur. The network helps show where Bo Yun Hur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Yun Hur, 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 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 23 | |
| 6 | 2021 | 65 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 6 | |
| 9 | Multi-Task Learning with a Fully Convolutional Network for Rectum and Rectal Cancer Segmentation. | 2019 | 1 |
| 10 | 2019 | 57 | |
| 11 | 2018 | 37 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 45 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 2 | |
| 16 | 2015 | 53 | |
| 17 | 2014 | 41 | |
| 18 | 2014 | 24 | |
| 19 | 2014 | 11 | |
| 20 | 2012 | 81 |
About Bo Yun Hur
Bo Yun Hur is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Colorectal Cancer Surgical Treatments (11 papers), Liver Disease Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (6 papers), Advanced X-ray and CT Imaging (6 papers), Colorectal and Anal Carcinomas (6 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Hepatology (276 citations), Radiology, Nuclear Medicine and Imaging (591 citations) and Oncology (422 citations). Bo Yun Hur has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Joon Koo Han, Jeong Min Lee, Ijin Joo, Dong Ho Lee, Byung Ihn Choi, Jeong Hee Yoon, Kyung‐Suk Suh, Hyo‐Jin Kang, Nam‐Joon Yi and Mi Hye Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.