Unil Yun

5.6k citations
171 papers · 4.2k indexed · h-index 39
Topics
Data Mining Algorithms and Applications (131 papers)Rough Sets and Fuzzy Logic (103 papers)Imbalanced Data Classification Techniques (63 papers)
Partner nations
South KoreaVietnamNorway

In The Last Decade

Unil Yun

162 papers receiving 4.0k citations

Peers

Unil Yun
Comparison fields: 5 of 119
  • Information Systems 3.3k
  • Artificial Intelligence 2.4k
  • Computational Theory and Mathematics 2.3k
  • Signal Processing 1.1k
  • Computer Networks and Communications 438
Replace Bay Vo with:
Bay Vo Vietnam
A. Inkeri Verkamo Finland
Roberto J. Bayardo United States
Howard J. Hamilton Canada
Jong Soo Park South Korea
Guozhu Dong United States
Craig Silverstein United States
Yiwen Yin Canada
Yongjian Fu China
Bart Goethals Belgium
Unil Yun relative to Bay Vo Vietnam Bay Vo's profile →
Citations per field
00.5×3.3×
Bay Vo · 1×
Citations per year

Countries citing papers authored by Unil Yun

Since Specialization
Citations

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

Fields of papers citing papers by Unil Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Unil Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Unil Yun. A scholar is included among the top collaborators of Unil Yun 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 Unil Yun. Unil Yun 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 2
2 1
3 3
4 13
5 3
6 4
7 7
8 13
9 23
10 13
11 5
12 2
13 6
14 34
15 48
16 5
17 9
18 1
19 5
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Mining Weighted Support Affinity Patterns.
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About Unil Yun

Unil Yun is a scholar working on Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 171 papers that have together received 4.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (131 papers), Rough Sets and Fuzzy Logic (103 papers) and Imbalanced Data Classification Techniques (63 papers). The work is most often cited by research in Information Systems (3.3k citations), Computational Theory and Mathematics (2.3k citations) and Signal Processing (1.1k citations). Unil Yun has collaborated with scholars based in South Korea, Vietnam and Norway. Frequent co-authors include Gangin Lee, Heungmo Ryang, Keun Ho Ryu, Jerry Chun‐Wei Lin, Eunchul Yoon, John J. Leggett, Philippe Fournier‐Viger, Bay Vo, Hamido Fujita and Youcef Djenouri. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Energy Conversion and Management.

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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