Gwang S. Jung
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Computer Networks and Communications
- Co-authors
- P. BollmannVijay V. RaghavanVenkat N. GudivadaQutaibah MalluhiKi‐Ryong KwonKwang-Seok MoonSuk‐Hwan LeeMinsoo Jung
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Data Management and Algorithms (3 papers)Information Retrieval and Search Behavior (2 papers)
- Journals
- Information Processing & ManagementACM Transactions on Information SystemsReal-Time Imaging
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Gwang S. Jung
10 papers receiving 300 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 136
- Information Systems 89
- Computer Vision and Pattern Recognition 76
- Molecular Biology 52
- Computer Networks and Communications 44
Countries citing papers authored by Gwang S. Jung
This map shows the geographic impact of Gwang S. Jung'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 Gwang S. Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwang S. Jung more than expected).
Fields of papers citing papers by Gwang S. Jung
This network shows the impact of papers produced by Gwang S. Jung. 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 Gwang S. Jung. The network helps show where Gwang S. Jung may publish in the future.
Co-authorship network of co-authors of Gwang S. Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Gwang S. Jung. A scholar is included among the top collaborators of Gwang S. Jung 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 Gwang S. Jung. Gwang S. Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Experimental Study of a Power-Over-Fiber Module and Multimode Optical Fiber for a Fishing Camera System | 2 |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | Connectionist domain knowledge acquisition and its evaluation in information retrieval | 1 |
| 11 | 295 |
About Gwang S. Jung
Gwang S. Jung is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 11 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Data Management and Algorithms (3 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Artificial Intelligence (136 citations), Information Systems (89 citations) and Computer Vision and Pattern Recognition (76 citations). Gwang S. Jung has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include P. Bollmann, Vijay V. Raghavan, Venkat N. Gudivada, Qutaibah Malluhi, Ki‐Ryong Kwon, Kwang-Seok Moon, Suk‐Hwan Lee and Minsoo Jung. Their work appears in journals such as Information Processing & Management, ACM Transactions on Information Systems and Real-Time Imaging.
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.