Yang-Suk Kee

1.4k citations
34 papers · 1.0k indexed · h-index 16

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 15
    • Distributed and Parallel Computing Systems 20
    • Advanced Data Storage Technologies 16
    • Caching and Content Delivery 13
    • Distributed systems and fault tolerance 8
    • Interconnection Networks and Systems 2

Yang-Suk Kee

31 papers receiving 999 citations

Peers

Yang-Suk Kee
Comparison fields: 5 of 31
  • Hardware and Architecture 309
  • Computer Networks and Communications 970
  • Information Systems and Management 194
  • Information Systems 624
  • Artificial Intelligence 104
Replace Sage A. Weil with:
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Alex Villazón Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Yang-Suk Kee

Since Specialization
Citations

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

Fields of papers citing papers by Yang-Suk Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang-Suk Kee. 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 Yang-Suk Kee. The network helps show where Yang-Suk Kee may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang-Suk Kee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang-Suk Kee Line = papers co-authored together Yang-Suk Kee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Hybrid Data Reliability for Emerging Key-Value Storage Devices
20206
2 201929
3
Mlcached: multi-level DRAM-NAND key-value cache
20160
4 201630
5 201640
6 20159
7 201511
8
Query Processing on Smart SSDs.
20145
9 2013111
10 2013191
11 2011199
12 201150
13 200955
14 200814
15 20061
16 20064
17 200617
18 200321
19 20020
20 20023

About Yang-Suk Kee

Yang-Suk Kee is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems and Management, Information Systems and Infectious Diseases, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (20 papers), Cloud Computing and Resource Management (16 papers), Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (15 papers), Caching and Content Delivery (13 papers), Distributed systems and fault tolerance (8 papers), Scientific Computing and Data Management (8 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (309 citations), Computer Networks and Communications (970 citations), Information Systems and Management (194 citations), Information Systems (624 citations) and Artificial Intelligence (104 citations). Yang-Suk Kee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jin‐Soo Kim, Eun-Kyu Byun, Chanik Park, Seungryoul Maeng, Jaeyoung Do, Jignesh M. Patel, David J. DeWitt, Kwanghyun Park, Andrew A. Chien and Ethan L. Miller. Their work appears in journals such as Parallel Computing, IEEE Transactions on Computers, Journal of Parallel and Distributed Computing, Future Generation Computer Systems and Parallel Processing Letters.

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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