Jong-Sik Lee

425 citations
27 papers · 299 indexed · h-index 9
Topics
Cloud Computing and Resource Management (6 papers)Distributed and Parallel Computing Systems (6 papers)Wireless Networks and Protocols (2 papers)
Journals
SHILAP Revista de lepidopterologíaMolecular and Cellular BiologyIEEE Journal of Solid-State Circuits
Partner nations
South KoreaJapanSpain

In The Last Decade

Jong-Sik Lee

21 papers receiving 272 citations

Peers

Jong-Sik Lee
Comparison fields: 5 of 73
  • Health Information Management 74
  • Artificial Intelligence 73
  • Electrical and Electronic Engineering 51
  • Molecular Biology 49
  • Computer Networks and Communications 46
Replace M. A. Rizvi with:
M. A. Rizvi India
C. Nalini India
David Koester United States
Saul Amarel United States
Gouda I. Salama Egypt
Baoru Han China
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Desta Haileselassie Hagos Norway
Matthew Simpson United States
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Jong-Sik Lee relative to M. A. Rizvi India M. A. Rizvi's profile →
Citations per field
00.5×4.5×
M. A. Rizvi · 1×
Citations per year

Countries citing papers authored by Jong-Sik Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Sik Lee. 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 Jong-Sik Lee. The network helps show where Jong-Sik Lee may publish in the future.

Co-authorship network of co-authors of Jong-Sik Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Sik Lee. A scholar is included among the top collaborators of Jong-Sik Lee 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 Jong-Sik Lee. Jong-Sik Lee 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 4
2 2
3 4
4 0
5 1
6 0
7 18
8
Reverse Auction-based Resource Allocation Policy for Service Broker in Hybrid Cloud Environment
2
9 56
10 8
11 52
12 1
13
Fuzzy-based Segment-Boost Method for Effective Face Recognition
1
14
Grid Resource Selection System Using Decision Tree Method
1
15 39
16
User Demand-based Grid Trade Management Model
1
17 6
18 42
19 22
20 9

About Jong-Sik Lee

Jong-Sik Lee is a scholar working on Computer Networks and Communications, Health Information Management and Signal Processing, having authored 27 papers that have together received 299 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (6 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Health Information Management (74 citations), Signal Processing (43 citations) and Medical Laboratory Technology (6 citations). Jong-Sik Lee has collaborated with scholars based in South Korea, Japan and Spain. Frequent co-authors include Jaekwon Kim, Youngho Lee, Hoojin Lee, Eun-Young Jung, Sungjoo Kim Yoon, Yoon Park, Jong‐Bok Yoon, Yong Pil Hwang, Youngshin Han and Jae Kwon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and IEEE Journal of Solid-State Circuits.

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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