Taejoong Chung
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Sociology and Political Science
- Electrical and Electronic Engineering
- Co-authors
- Alan MisloveDavid ChoffnesDave LevinBruce M. MaggsChristo WilsonRoland van Rijswijk-DeijJinyoung HanTed Taekyoung Kwon
- Topics
- Caching and Content Delivery (11 papers)Internet Traffic Analysis and Secure E-voting (11 papers)Peer-to-Peer Network Technologies (10 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewJournal of Network and Computer ApplicationsComputer Communications
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Taejoong Chung
37 papers receiving 515 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 303
- Computer Networks and Communications 300
- Information Systems 160
- Sociology and Political Science 101
- Electrical and Electronic Engineering 91
Countries citing papers authored by Taejoong Chung
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | A Longitudinal and Comprehensive Study of the {DANE} Ecosystem in Email | 4 |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | A longitudinal, end-to-end view of the DNSSEC ecosystem | 43 |
| 13 | 52 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 4 |
About Taejoong Chung
Taejoong Chung is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 37 papers that have together received 527 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Peer-to-Peer Network Technologies (10 papers). The work is most often cited by research in Computer Networks and Communications (300 citations), Artificial Intelligence (303 citations) and Information Systems (160 citations). Taejoong Chung has collaborated with scholars based in United States, South Korea and Netherlands. Frequent 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 Yong‐Yeol Ahn. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Journal of Network and Computer Applications and Computer Communications.
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.