Sangtae Ha

105 papers receiving 4.0k citations

Hit Papers

CUBIC20082026201420202008201250010001.5k

Peers

Sangtae Ha
Comparison fields: 5 of 103
  • Computer Networks and Communications 3.2k
  • Electrical and Electronic Engineering 1.9k
  • Information Systems 690
  • Computer Vision and Pattern Recognition 395
  • Media Technology 340
Replace Jun Huang with:
Jun Huang China
Carlee Joe‐Wong United States
Panagiotis Demestichas Greece
Tao Huang China
Konstantinos Samdanis Germany
Xavier Costa‐Pérez Spain
Renchao Xie China
Eirini Eleni Tsiropoulou United States
Henning Schulzrinne United States
Jong‐Hyouk Lee South Korea
Sangtae Ha relative to Jun Huang China Jun Huang's profile →
Citations per field
00.5×4.0×
Jun Huang · 1×
Citations per year

Countries citing papers authored by Sangtae Ha

Since Specialization
Citations

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

Fields of papers citing papers by Sangtae Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangtae Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Sangtae Ha. A scholar is included among the top collaborators of Sangtae Ha 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 Sangtae Ha. Sangtae Ha 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 1
2 0
3 11
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5 19
6
eMRC: Efficient Miss Ratio Approximation for Multi-Tier Caching.
3
7 18
8 40
9 65
10 8
11 10
12 1
13 15
14 4
15 3
16
Complementary Wireless Network Technologies: Adoption Behavior and Offloading Benefits
1
17
The economics of shared data plans
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18
Joint VM placement and routing for data center traffic engineeringbreakdown →
283
19 168
20 47

About Sangtae Ha

Sangtae Ha is a scholar working on Computer Networks and Communications, Media Technology and Electrical and Electronic Engineering, having authored 109 papers that have together received 4.1k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (25 papers), Caching and Content Delivery (20 papers) and Green IT and Sustainability (19 papers). The work is most often cited by research in Computer Networks and Communications (3.2k citations), Media Technology (340 citations) and Electrical and Electronic Engineering (1.9k citations). Sangtae Ha has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include Injong Rhee, Lisong Xu, Mung Chiang, Carlee Joe‐Wong, Soumya Sen, Youngbin Im, Tian Lan, Minghua Chen, Joe Wenjie Jiang and I Chih‐Lin. Their work appears in journals such as Scientific Reports, Communications of the ACM and IEEE Journal on Selected Areas in 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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