Sung Y. Shin
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Topics
- AI in cancer detection (12 papers)Image Retrieval and Classification Techniques (11 papers)Topic Modeling (7 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Sung Y. Shin
58 papers receiving 361 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 154
- Computer Networks and Communications 152
- Information Systems 98
- Computer Vision and Pattern Recognition 77
- Electrical and Electronic Engineering 48
Countries citing papers authored by Sung Y. Shin
This map shows the geographic impact of Sung Y. Shin'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 Y. Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Y. Shin more than expected).
Fields of papers citing papers by Sung Y. Shin
This network shows the impact of papers produced by Sung Y. Shin. 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 Y. Shin. The network helps show where Sung Y. Shin may publish in the future.
Co-authorship network of co-authors of Sung Y. Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Y. Shin. A scholar is included among the top collaborators of Sung Y. Shin 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 Y. Shin. Sung Y. Shin 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 | 8 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | Design of a Lightweight TCP/IP Protocol Stack with an Event-Driven Scheduler * | 3 |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | An Efficient Secure Deletion Scheme for Flash File Systems | 32 |
| 15 | 6 | |
| 16 | Proceedings of the 2009 ACM symposium on Applied Computing | 1 |
| 17 | Proceedings of the 2007 ACM symposium on Applied computing | 15 |
| 18 | 3 | |
| 19 | A Priority Assignment Method for Earliest Deadline Scheduling. | 2 |
| 20 | 7 |
About Sung Y. Shin
Sung Y. Shin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 61 papers that have together received 376 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Image Retrieval and Classification Techniques (11 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computer Networks and Communications (152 citations), Artificial Intelligence (154 citations) and Information Systems (98 citations). Sung Y. Shin has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yookun Cho, Seong‐Ho Son, Junyoung Heo, Fen Hou, Ching‐Hsien Hsu, Cong-Cong Xing, Jun Huang, Wei Wang, Jiman Hong and Samaneh Aminikhanghahi. Their work appears in journals such as Sensors, Applied Sciences and Multimedia Tools and Applications.
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.