Sung Yang Bang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Control and Systems Engineering top 10%
- Media Technology top 10%
- Co-authors
- Daijin KimHyun‐Chul KimShaoning PangHong-Mo JeT. J. KimZoubin GhahramaniHyunchul KimHwajeong Lee
- Topics
- Face and Expression Recognition (13 papers)Image Retrieval and Classification Techniques (7 papers)Face recognition and analysis (5 papers)
- Partner nations
- South KoreaUnited StatesQatar
In The Last Decade
Sung Yang Bang
21 papers receiving 651 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 325
- Artificial Intelligence 249
- Signal Processing 82
- Control and Systems Engineering 73
- Media Technology 55
Countries citing papers authored by Sung Yang Bang
This map shows the geographic impact of Sung Yang Bang'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 Sung Yang Bang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Yang Bang more than expected).
Fields of papers citing papers by Sung Yang Bang
This network shows the impact of papers produced by Sung Yang Bang. 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 Sung Yang Bang. The network helps show where Sung Yang Bang may publish in the future.
Co-authorship network of co-authors of Sung Yang Bang
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Yang Bang. A scholar is included among the top collaborators of Sung Yang Bang 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 Sung Yang Bang. Sung Yang Bang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 27 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 49 | |
| 14 | 350 | |
| 15 | 23 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 18 | |
| 19 | A Neural Network Model APC-111 and Its Application to Understand Handwritten Digit Recognition | 2 |
| 20 | 1 |
About Sung Yang Bang
Sung Yang Bang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 26 papers that have together received 707 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Image Retrieval and Classification Techniques (7 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (325 citations), Artificial Intelligence (249 citations) and Signal Processing (82 citations). Sung Yang Bang has collaborated with scholars based in South Korea, United States and Qatar. Frequent co-authors include Daijin Kim, Hyun‐Chul Kim, Shaoning Pang, Hong-Mo Je, T. J. Kim, Zoubin Ghahramani, Hyunchul Kim, Hwajeong Lee, Daehwan Kim and Saira Anwar. Their work appears in journals such as Pattern Recognition, Information Sciences and Pattern Recognition Letters.
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.