Taejoong Chung

51 total papers · 883 total citations
37 papers, 523 citations indexed

About

Taejoong Chung is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Taejoong Chung has authored 37 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Taejoong Chung's work include Internet Traffic Analysis and Secure E-voting (11 papers), Caching and Content Delivery (11 papers) and Peer-to-Peer Network Technologies (10 papers). Taejoong Chung is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (11 papers), Caching and Content Delivery (11 papers) and Peer-to-Peer Network Technologies (10 papers). Taejoong Chung collaborates with scholars based in United States, South Korea and Netherlands. Taejoong Chung's co-authors include Alan Mislove, David Choffnes, Dave Levin, Bruce M. Maggs, Christo Wilson, Roland van Rijswijk-Deij, Jinyoung Han, Ted Taekyoung Kwon, Daejin Choi and Byung-Gon Chun and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Journal of Network and Computer Applications and Computer Communications.

In The Last Decade

Taejoong Chung

37 papers receiving 511 citations

Author Peers

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

Author						Papers	Cites
Taejoong Chung	302	299	160	101	91	37	523
Erin Kenneally	190 0.6×	159 0.5×	245 1.5×	122 1.2×	61 0.7×	38	537
Jerry den Hartog	237 0.8×	241 0.8×	160 1.0×	144 1.4×	108 1.2×	37	518
Karanjeet Singh Kahlon	127 0.4×	132 0.4×	216 1.4×	82 0.8×	31 0.3×	35	474
Stefano Traverso	111 0.4×	426 1.4×	153 1.0×	107 1.1×	74 0.8×	40	606
Michiaki Tatsubori	279 0.9×	233 0.8×	360 2.3×	78 0.8×	13 0.1×	48	580
Ghita Mezzour	135 0.4×	426 1.4×	185 1.2×	34 0.3×	117 1.3×	31	618
Guoyong Cai	275 0.9×	89 0.3×	163 1.0×	104 1.0×	22 0.2×	53	486
Patrik Floréen	165 0.5×	178 0.6×	128 0.8×	34 0.3×	71 0.8×	44	603
Veenu Mangat	312 1.0×	271 0.9×	155 1.0×	24 0.2×	60 0.7×	34	572
Abbas Razaghpanah	266 0.9×	222 0.7×	217 1.4×	237 2.3×	69 0.8×	20	617

Countries citing papers authored by Taejoong Chung

Since Specialization

Citations

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

Fields of papers citing papers by Taejoong Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taejoong Chung

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