Kyusik Chung

66 total papers · 410 total citations
35 papers, 264 citations indexed

About

Kyusik Chung is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Kyusik Chung has authored 35 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Networks and Communications and 10 papers in Hardware and Architecture. Recurrent topics in Kyusik Chung's work include Parallel Computing and Optimization Techniques (9 papers), Cloud Computing and Resource Management (7 papers) and Computer Graphics and Visualization Techniques (7 papers). Kyusik Chung is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Cloud Computing and Resource Management (7 papers) and Computer Graphics and Visualization Techniques (7 papers). Kyusik Chung collaborates with scholars based in South Korea, United States and United Kingdom. Kyusik Chung's co-authors include Lee‐Sup Kim, Seokhoon Kim, Andrew Sohn, Martin Lukáč, Yong-Duk Kim, Jongmin Yoon, Byung-Guk Kim, Marek Perkowski, Dong‐Hyun Kim and Donghyun Kim and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Artificial Intelligence Review and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Kyusik Chung

33 papers receiving 244 citations

Author Peers

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

Author						Papers	Cites
Kyusik Chung	91	68	68	54	53	35	264
J.L. Schwing	117 1.3×	176 2.6×	41 0.6×	62 1.1×	58 1.1×	48	331
Che–Rung Lee	60 0.7×	131 1.9×	47 0.7×	75 1.4×	55 1.0×	54	297
G. Schrack	108 1.2×	56 0.8×	88 1.3×	37 0.7×	14 0.3×	34	288
Richard Membarth	99 1.1×	99 1.5×	32 0.5×	184 3.4×	63 1.2×	33	301
Octavian Creţ	86 0.9×	55 0.8×	58 0.9×	79 1.5×	77 1.5×	40	284
Eun-Young Kang	76 0.8×	35 0.5×	34 0.5×	55 1.0×	12 0.2×	55	257
Alan Soper	25 0.3×	97 1.4×	54 0.8×	29 0.5×	69 1.3×	33	233
Emil Axelsson	47 0.5×	28 0.4×	70 1.0×	52 1.0×	15 0.3×	23	187
S. W. Song	37 0.4×	100 1.5×	82 1.2×	81 1.5×	25 0.5×	24	201
Keith Hanna	78 0.9×	11 0.2×	49 0.7×	50 0.9×	21 0.4×	27	206

Countries citing papers authored by Kyusik Chung

Since Specialization

Citations

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

Fields of papers citing papers by Kyusik Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyusik Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Kyusik Chung. A scholar is included among the top collaborators of Kyusik Chung 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 Kyusik Chung. Kyusik Chung 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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