Chul Sung
Impact in
- Biophysics top 10%
-
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Wireless Networks and Protocols
- Caching and Content Delivery
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 3
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- Advanced Fluorescence Microscopy Techniques 5
- Cell Image Analysis Techniques 5
- Co-authors
- Tejas I. Dhamecha (2 shared papers)Samir R. Das (2 shared papers)Nirmal Mukhi (1 shared paper)Pralhad Deshpande (1 shared paper)Anand Kashyap (1 shared paper)Yoonsuck Choe (7 shared papers)Swarnadeep Saha (1 shared paper)Tengfei Ma (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (1 paper)Journal of Visualized Experiments (1 paper)Biomedical Optics Express (1 paper)Lecture notes in computer science (3 papers)PubMed (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Chul Sung
15 papers receiving 373 citations
Peers
Comparison fields: 5 of 68
- Biophysics 33
- Computer Networks and Communications 121
- Artificial Intelligence 162
- Computer Science Applications 23
- Computational Mathematics 2
Countries citing papers authored by Chul Sung
This map shows the geographic impact of Chul Sung'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 Chul Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul Sung more than expected).
Fields of papers citing papers by Chul Sung
This network shows the impact of papers produced by Chul Sung. 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 Chul Sung. The network helps show where Chul Sung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chul Sung, 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 | 2009 | 114 | |
| 2 | 2019 | 89 | |
| 3 | 2019 | 67 | |
| 4 | 2011 | 29 | |
| 5 | 2011 | 20 | |
| 6 | 2001 | 14 | |
| 7 | 2009 | 10 | |
| 8 | 2011 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2011 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 4 | |
| 13 | 1990 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2017 | 2 | |
| 16 | An Optimal Threshold Control in an Open Network of Queues | 1991 | 0 |
About Chul Sung
Chul Sung is a scholar working on Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (5 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Blind Source Separation Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Biophysics (33 citations), Computer Networks and Communications (121 citations), Artificial Intelligence (162 citations), Computer Science Applications (23 citations) and Computational Mathematics (2 citations). Chul Sung has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Tejas I. Dhamecha, Samir R. Das, Nirmal Mukhi, Pralhad Deshpande, Anand Kashyap, Yoonsuck Choe, Swarnadeep Saha, Tengfei Ma, Rishi Arora and Jaerock Kwon. Their work appears in journals such as Frontiers in Neuroinformatics, Journal of Visualized Experiments, Biomedical Optics Express, Lecture notes in computer science 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.