Byeong-Soo Jeong

58 papers receiving 1.3k citations

Hit Papers

Efficient Tree Structures for High Utility Pattern Mining...20092026201420202009100200300400

Peers

Byeong-Soo Jeong
Comparison fields: 5 of 67
  • Information Systems 1.1k
  • Computational Theory and Mathematics 704
  • Artificial Intelligence 687
  • Signal Processing 502
  • Computer Networks and Communications 268
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Chowdhury Farhan Ahmed Bangladesh
Syed Khairuzzaman Tanbeer South Korea
Mika Klemettinen Finland
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Loan T. T. Nguyen Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Byeong-Soo Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Byeong-Soo Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byeong-Soo Jeong. 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 Byeong-Soo Jeong. The network helps show where Byeong-Soo Jeong may publish in the future.

Co-authorship network of co-authors of Byeong-Soo Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Byeong-Soo Jeong. A scholar is included among the top collaborators of Byeong-Soo Jeong 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 Byeong-Soo Jeong. Byeong-Soo Jeong 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 24
2
Analyzing topological characteristics of the Korean blogosphere
0
3 1
4 15
5 15
6 10
7 63
8 9
9 54
10 3
11
Efficient mining of association rules from Wireless Sensor Networks
6
12
Efficient Tree Structures for High Utility Pattern Mining in Incremental Databasesbreakdown →
405
13
ShrFP-tree: an efficient tree structure for mining share-frequent patterns
2
14 19
15
PBR: Priority Based Routing in Multi-Sink Sensor Networks.
3
16 9
17
An XML-based framework for personalized health management.
1
18 3
19
Optimistic Concurrency Control for Secure Real-Time Database Systems
1
20 56

About Byeong-Soo Jeong

Byeong-Soo Jeong is a scholar working on Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (32 papers), Rough Sets and Fuzzy Logic (17 papers) and Data Management and Algorithms (17 papers). The work is most often cited by research in Information Systems (1.1k citations), Signal Processing (502 citations) and Computational Theory and Mathematics (704 citations). Byeong-Soo Jeong has collaborated with scholars based in South Korea, Bangladesh and Saudi Arabia. Frequent co-authors include Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Young-Koo Lee, Ho‐Jin Choi, Edward Omiecinski, Md. Samiullah, Md. Rezaul Karim, Sungyoung Lee, Ho-Jin Choi and Sang‐Wook Kim. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

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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