Sungdae Cho

27 total papers · 491 total citations
25 papers, 323 citations indexed

About

Sungdae Cho is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Sungdae Cho has authored 25 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Sungdae Cho's work include Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (9 papers) and Image and Signal Denoising Methods (8 papers). Sungdae Cho is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (9 papers) and Image and Signal Denoising Methods (8 papers). Sungdae Cho collaborates with scholars based in United States, South Korea and Singapore. Sungdae Cho's co-authors include William A. Pearlman, Nitin Singhal, In Kyu Park, Chris Kim, In Kyu Park, Xiaoli Tang, Jaehoon Lee, Tae‐Jin Lee, Seongtaek Hwang and Jaehun Cho and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Sungdae Cho

25 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sungdae Cho 259 103 41 34 34 25 323
Arijit Bishnu 175 0.7× 98 1.0× 28 0.7× 39 1.1× 39 1.1× 28 266
Izidor Gertner 154 0.6× 100 1.0× 53 1.3× 20 0.6× 31 0.9× 32 304
Shuai Li 202 0.8× 116 1.1× 32 0.8× 14 0.4× 42 1.2× 28 305
Juheon Yi 216 0.8× 51 0.5× 76 1.9× 9 0.3× 48 1.4× 15 301
Benno Stabernack 175 0.7× 117 1.1× 39 1.0× 22 0.6× 70 2.1× 33 266
P.A. Ruetz 163 0.6× 156 1.5× 39 1.0× 15 0.4× 99 2.9× 22 313
Sid Ahmed Fezza 146 0.6× 71 0.7× 18 0.4× 33 1.0× 30 0.9× 28 280
In Kyu Park 246 0.9× 19 0.2× 14 0.3× 56 1.6× 26 0.8× 27 304
W.K. Cham 276 1.1× 184 1.8× 10 0.2× 13 0.4× 41 1.2× 44 345
Chieteuk Ahn 193 0.7× 44 0.4× 53 1.3× 50 1.5× 85 2.5× 23 294

Countries citing papers authored by Sungdae Cho

Since Specialization
Citations

This map shows the geographic impact of Sungdae Cho'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 Sungdae Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungdae Cho more than expected).

Fields of papers citing papers by Sungdae Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sungdae Cho. 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 Sungdae Cho. The network helps show where Sungdae Cho may publish in the future.

Co-authorship network of co-authors of Sungdae Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sungdae Cho. A scholar is included among the top collaborators of Sungdae Cho 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 Sungdae Cho. Sungdae Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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