Hyunseok Chang

47 papers receiving 1.3k citations

Peers

Hyunseok Chang
Comparison fields: 5 of 75
  • Computer Networks and Communications 1.1k
  • Statistical and Nonlinear Physics 344
  • Information Systems 225
  • Artificial Intelligence 212
  • Electrical and Electronic Engineering 167
Replace Serge Fdida with:
Serge Fdida France
Bradley Huffaker United States
Panagiotis Papadimitriou Greece
Amogh Dhamdhere United States
Marina Fomenkov United States
Kamran Zamanifar Iran
Luciano Lenzini Italy
Olaf Maennel United Kingdom
Josep-L. Larriba-Pey Spain
Matthew Luckie United States
Hyunseok Chang relative to Serge Fdida France Serge Fdida's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hyunseok Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hyunseok Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunseok Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 4
5 6
6 4
7 2
8 28
9 31
10 2
11
Building access oblivious storage cloud for enterprise
1
12 2
13 99
14
An economic-based empirical approach to modeling the Internet's inter-domain topology and traffic matrix.
5
15 49
16 15
17 58
18 21
19 61
20 8

About Hyunseok Chang

Hyunseok Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Caching and Content Delivery (17 papers), Network Traffic and Congestion Control (16 papers) and Peer-to-Peer Network Technologies (14 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Statistical and Nonlinear Physics (344 citations) and Hardware and Architecture (73 citations). Hyunseok Chang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Sugih Jamin, Walter Willinger, Ramesh Govindan, T. V. Lakshman, Sarit Mukherjee, Qian Chen, Scott Shenker, Adiseshu Hari, Murali Kodialam and Wenjie Wang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on 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.

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