Youngbae Hwang
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Vision and Imaging 20
- Image Enhancement Techniques 16
- Advanced Image and Video Retrieval Techniques 13
- Advanced Neural Network Applications 7
- Advanced Image Processing Techniques 7
- Co-authors
- Seon Joo Kim (3 shared papers)Yasuyuki Matsushita (1 shared paper)Seonghyeon Nam (1 shared paper)Jun‐Hyung Kim (3 shared papers)In So Kweon (5 shared papers)Yun Jeong Lim (12 shared papers)In-So Kweon (10 shared papers)Junseok Park (8 shared papers)
- Journals
- Sensors (4 papers)Computer Vision and Image Understanding (4 papers)Scientific Reports (4 papers)Applied Sciences (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Youngbae Hwang
64 papers receiving 797 citations
Peers
Comparison fields: 5 of 97
- Media Technology 231
- Computer Vision and Pattern Recognition 523
- Gastroenterology 122
- Health Informatics 9
- Geology 30
Countries citing papers authored by Youngbae Hwang
This map shows the geographic impact of Youngbae 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 Youngbae Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngbae Hwang more than expected).
Fields of papers citing papers by Youngbae Hwang
This network shows the impact of papers produced by Youngbae 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 Youngbae Hwang. The network helps show where Youngbae Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngbae 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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2014 | 79 | |
| 3 | 2022 | 66 | |
| 4 | 2007 | 39 | |
| 5 | 2018 | 30 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2011 | 20 | |
| 13 | 2007 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2021 | 10 |
About Youngbae Hwang
Youngbae Hwang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Gastroenterology, Aerospace Engineering and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (20 papers), Image Enhancement Techniques (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Gastrointestinal Bleeding Diagnosis and Treatment (12 papers), Colorectal Cancer Screening and Detection (9 papers), Gastric Cancer Management and Outcomes (9 papers), Advanced Neural Network Applications (7 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Media Technology (231 citations), Computer Vision and Pattern Recognition (523 citations), Gastroenterology (122 citations), Health Informatics (9 citations) and Geology (30 citations). Youngbae Hwang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seon Joo Kim, Yasuyuki Matsushita, Seonghyeon Nam, Jun‐Hyung Kim, In So Kweon, Yun Jeong Lim, In-So Kweon, Junseok Park, Joon‐Young Lee and Jun-Sik Kim. Their work appears in journals such as Sensors, Computer Vision and Image Understanding, Scientific Reports, Applied Sciences and PLoS ONE.
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.