Suhwan Cho
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Biomedical Engineering
- Epidemiology
- Co-authors
- Sangyoun LeeMyeongAh ChoChaewon ParkMinhyeok LeeTaeoh KimSeunghoon LeeMinjung KimDogyoon Lee
- Topics
- Visual Attention and Saliency Detection (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Neural Network Applications (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- IEEE Transactions on Geoscience and Remote SensingPattern RecognitionJSTS Journal of Semiconductor Technology and Science
- Partner nations
- South Korea
In The Last Decade
Suhwan Cho
19 papers receiving 248 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 160
- Artificial Intelligence 112
- Computer Networks and Communications 58
- Biomedical Engineering 47
- Epidemiology 14
Countries citing papers authored by Suhwan Cho
This map shows the geographic impact of Suhwan Cho'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 Suhwan Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhwan Cho more than expected).
Fields of papers citing papers by Suhwan Cho
This network shows the impact of papers produced by Suhwan Cho. 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 Suhwan Cho. The network helps show where Suhwan Cho may publish in the future.
Co-authorship network of co-authors of Suhwan Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Suhwan Cho. A scholar is included among the top collaborators of Suhwan Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suhwan Cho. Suhwan Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 29 | |
| 12 | 27 | |
| 13 | 16 | |
| 14 | 71 | |
| 15 | 4 | |
| 16 | 19 | |
| 17 | 17 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 3 |
About Suhwan Cho
Suhwan Cho is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Artificial Intelligence, having authored 20 papers that have together received 251 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Artificial Intelligence (112 citations) and Computer Networks and Communications (58 citations). Suhwan Cho has collaborated with scholars based in South Korea. Frequent co-authors include Sangyoun Lee, MyeongAh Cho, Chaewon Park, Minhyeok Lee, Taeoh Kim, Seunghoon Lee, Minjung Kim, Dogyoon Lee, Byeong‐Gyu Nam and Tae‐Young Chung. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and JSTS Journal of Semiconductor Technology and Science.
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.