Chul Sung

515 citations
13 papers · 240 · h-index 7

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Opportunistic and Delay-Tolerant Networks
    • Mobile Ad Hoc Networks
    • Wireless Networks and Protocols
    • Caching and Content Delivery

Papers in

    • Advanced Fluorescence Microscopy Techniques 5
    • Cell Image Analysis Techniques 5
    • Topic Modeling 2
    • Natural Language Processing Techniques 2

Chul Sung

12 papers receiving 229 citations

Peers

Chul Sung
Comparison fields: 5 of 59
  • Biophysics 29
  • Computer Networks and Communications 102
  • Computational Mathematics 2
  • Artificial Intelligence 58
  • Computer Science Applications 8
Replace Ming Hu with:
Ming Hu United States
Dominik Merli Germany
Chia Yee Ooi Malaysia
Sean Choi United States
Seira Hidano Japan
V. Vetriselvi India
Haiyun He United States
Frederic Stumpf Germany
Xiaojun Chen China
Åke Arvidsson Sweden
Chul Sung relative to Ming Hu United States Ming Hu's profile →
Citations per field
00.5×10×15×
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Citations per year

Countries citing papers authored by Chul Sung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with Chul Sung Line = papers co-authored together Chul Sung links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009105
2 201952
3 201129
4 201117
5 20178
6 20117
7 20116
8 20165
9 20134
10 19903
11 20213
12 20171
13
An Optimal Threshold Control in an Open Network of Queues
19910

About Chul Sung

Chul Sung is a scholar working on Biophysics, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Marketing, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (5 papers), Topic Modeling (2 papers), Single-cell and spatial transcriptomics (2 papers), Blind Source Separation Techniques (2 papers), Natural Language Processing Techniques (2 papers), Customer churn and segmentation (2 papers) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Biophysics (29 citations), Computer Networks and Communications (102 citations), Computational Mathematics (2 citations), Artificial Intelligence (58 citations) and Computer Science Applications (8 citations). Chul Sung has collaborated with scholars based in United States, Czechia and India. Frequent co-authors include Pralhad Deshpande, Anand Kashyap, Samir R. Das, Yoonsuck Choe, Rishi Arora, Tengfei Ma, Swarnadeep Saha, Tejas I. Dhamecha, John Keyser and Jaerock Kwon. Their work appears in journals such as Journal of Visualized Experiments, Frontiers in Neuroinformatics, Biomedical Optics Express, PubMed and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).

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.

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