Sae Hwang
Impact in
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
-
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Papers in
-
- Image Retrieval and Classification Techniques 6
- Advanced Image and Video Retrieval Techniques 5
- Advanced Data Compression Techniques 4
- Video Analysis and Summarization 4
- Oncology 9
- Colorectal Cancer Screening and Detection 6
- Cutaneous Melanoma Detection and Management 3
- Co-authors
- Junghwan Oh (11 shared papers)M. Emre Celebi (6 shared papers)Piet C. de Groen (8 shared papers)Wallapak Tavanapong (8 shared papers)Johnny Wong (8 shared papers)Quan Wen (2 shared papers)Gerald Schaefer (2 shared papers)Hitoshi Iyatomi (2 shared papers)
- Journals
- Skin Research and Technology (1 paper)Medical Image Analysis (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Journal of Real-Time Image Processing (1 paper)PubMed (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sae Hwang
18 papers receiving 643 citations
Peers
Comparison fields: 5 of 54
- Gastroenterology 120
- Computer Vision and Pattern Recognition 341
- Oncology 386
- Artificial Intelligence 175
- Media Technology 40
Countries citing papers authored by Sae Hwang
This map shows the geographic impact of Sae 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 Sae Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae Hwang more than expected).
Fields of papers citing papers by Sae Hwang
This network shows the impact of papers produced by Sae 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 Sae Hwang. The network helps show where Sae Hwang may publish in the future.
Co-authors
The 15 scholars most cited alongside Sae 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 | 2012 | 154 | |
| 2 | 2007 | 119 | |
| 3 | 2007 | 76 | |
| 4 | 2006 | 65 | |
| 5 | 2010 | 52 | |
| 6 | 2005 | 34 | |
| 7 | 2012 | 31 | |
| 8 | 2008 | 31 | |
| 9 | 2010 | 23 | |
| 10 | 2005 | 21 | |
| 11 | 2005 | 16 | |
| 12 | 2008 | 13 | |
| 13 | 2005 | 10 | |
| 14 | 2003 | 10 | |
| 15 | Texture Segmentation of Dermoscopy Images using Gabor Filters and G-Means Clustering. | 2010 | 9 |
| 16 | 2005 | 7 | |
| 17 | 2007 | 4 | |
| 18 | 2010 | 3 |
About Sae Hwang
Sae Hwang is a scholar working on Computer Vision and Pattern Recognition, Oncology, Artificial Intelligence, Gastroenterology and Media Technology, having authored 18 papers that have together received 678 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Colorectal Cancer Screening and Detection (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Data Compression Techniques (4 papers), Video Analysis and Summarization (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Gastrointestinal Bleeding Diagnosis and Treatment (3 papers) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Gastroenterology (120 citations), Computer Vision and Pattern Recognition (341 citations), Oncology (386 citations), Artificial Intelligence (175 citations) and Media Technology (40 citations). Sae Hwang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Junghwan Oh, M. Emre Celebi, Piet C. de Groen, Wallapak Tavanapong, Johnny Wong, Quan Wen, Gerald Schaefer, Hitoshi Iyatomi, Jeongkyu Lee and Shou Jiang Tang. Their work appears in journals such as Skin Research and Technology, Medical Image Analysis, IEEE Transactions on Biomedical Engineering, Journal of Real-Time Image Processing and PubMed.
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.