Donghoon Yu
Impact in
- Health Informatics top 10%
-
- Lung Cancer Diagnosis and Treatment
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Chronic Obstructive Pulmonary Disease (COPD) Research
Papers in
-
- Lung Cancer Diagnosis and Treatment 6
- Advanced Breast Cancer Therapies 3
-
- Medical Image Segmentation Techniques 2
- Advanced Vision and Imaging 2
- Advanced Data Compression Techniques 2
- Co-authors
- Jaeyoun Yi (6 shared papers)Joon Beom Seo (5 shared papers)Jihye Yun (5 shared papers)Namkug Kim (4 shared papers)Sang Min Lee (4 shared papers)Hye Jeon Hwang (4 shared papers)Minho Lee (1 shared paper)Hee-Jun Park (1 shared paper)
- Journals
- Cancer Research (4 papers)European Journal of Radiology (2 papers)Radiology (2 papers)Journal of Clinical Oncology (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaNetherlandsChina
In The Last Decade
Donghoon Yu
16 papers receiving 306 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 12
- Pulmonary and Respiratory Medicine 135
- Radiology, Nuclear Medicine and Imaging 89
- Dermatology 23
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Donghoon Yu
This map shows the geographic impact of Donghoon Yu'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 Donghoon Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghoon Yu more than expected).
Fields of papers citing papers by Donghoon Yu
This network shows the impact of papers produced by Donghoon Yu. 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 Donghoon Yu. The network helps show where Donghoon Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghoon Yu, 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 | 2021 | 90 | |
| 2 | 2018 | 81 | |
| 3 | 2013 | 53 | |
| 4 | 2022 | 35 | |
| 5 | 2022 | 25 | |
| 6 | 2024 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2003 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2002 | 1 | |
| 16 | 2005 | 1 | |
| 17 | 2025 | 0 |
About Donghoon Yu
Donghoon Yu is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Oncology, Molecular Biology and Signal Processing, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (4 papers), Advanced Breast Cancer Therapies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Vision and Imaging (2 papers), Video Coding and Compression Technologies (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Health Informatics (12 citations), Pulmonary and Respiratory Medicine (135 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Dermatology (23 citations) and Computer Vision and Pattern Recognition (44 citations). Donghoon Yu has collaborated with scholars based in South Korea, Netherlands and China. Frequent co-authors include Jaeyoun Yi, Joon Beom Seo, Jihye Yun, Namkug Kim, Sang Min Lee, Hye Jeon Hwang, Minho Lee, Hee-Jun Park, June‐Goo Lee and Jooae Choe. Their work appears in journals such as Cancer Research, European Journal of Radiology, Radiology, Journal of Clinical Oncology 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.