Sungyong Park

858 citations
90 papers · 519 indexed · h-index 12
Topics
Cloud Computing and Resource Management (36 papers)Advanced Data Storage Technologies (30 papers)Caching and Content Delivery (21 papers)

In The Last Decade

Sungyong Park

75 papers receiving 500 citations

Peers

Sungyong Park
Comparison fields: 5 of 74
  • Computer Networks and Communications 332
  • Information Systems 207
  • Artificial Intelligence 90
  • Electrical and Electronic Engineering 71
  • Hardware and Architecture 64
Replace Cuong Pham with:
Cuong Pham United States
Guido Urdaneta Netherlands
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Sungyong Park relative to Cuong Pham United States Cuong Pham's profile →
Citations per field
00.5×1.5×2.1×
Cuong Pham · 1×
Citations per year

Countries citing papers authored by Sungyong Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungyong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungyong Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sungyong Park. A scholar is included among the top collaborators of Sungyong Park 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 Sungyong Park. Sungyong Park 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 0
3 0
4 0
5 0
6 4
7 36
8 15
9 2
10 11
11 12
12 3
13
A CPU Allocation Method Considering the Control Domain Overhead in Xen Virtualization Environment
2
14
A Simulation-based Migration Algorithm Minimizing the Number of Migrations in Server Virtualization Environments
0
15 1
16
A Priority Allocation Scheme Considering Virtual Machine Scheduling Delays in Xen Environments
1
17
A Dynamic Allocation Scheme for Improving Memory Utilization in Xen
0
18
A Dynamic Thread Pool Scheme based on the Learning for a Web Server
1
19
Intelligent Email Categorization Based on Textual Information and Metadata
4
20 3

About Sungyong Park

Sungyong Park is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 90 papers that have together received 519 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (36 papers), Advanced Data Storage Technologies (30 papers) and Caching and Content Delivery (21 papers). The work is most often cited by research in Computer Networks and Communications (332 citations), Hardware and Architecture (64 citations) and Information Systems (207 citations). Sungyong Park has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Youngjae Kim, Hoon Jung Koo, Doug Hyun Han, Jung‐Hye Kwon, Awais Khan, Soojin Park, Donggyu Park, Ji Won Kim, Jung­hee Lee and Jin-Woo Ahn. Their work appears in journals such as The Journal of Physical Chemistry C, IEEE Access and Sensors.

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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