Young Bae Jun

375 papers receiving 4.7k citations

Young Bae Jun's Hit Papers

Soft sets and soft rough sets 2010 · 406 citations
4060+6+12Years since publication100200300400

Peers

Young Bae Jun
Comparison fields: 5 of 67
  • Management Science and Operations Research 5.0k
  • Computational Theory and Mathematics 4.1k
  • Algebra and Number Theory 510
  • Artificial Intelligence 1.3k
  • Geometry and Topology 171
Replace Muhammad Shabir with:
Muhammad Shabir Pakistan
Naim Çağman Türkiye
Pabitra Kumar Maji India
Wiesław A. Dudek Poland
D.A. Molodtsov Russia
Tareq M. Al-shami Yemen
R. Löwen Belgium
Antonio Di Nola Italy
Joan Torrens Spain
R. A. Borzooei Iran
Young Bae Jun relative to Muhammad Shabir Pakistan Muhammad Shabir's profile →
Citations per field
00.5×3.2×
Muhammad Shabir · 1×
Citations per year

Countries citing papers authored by Young Bae Jun

Since Specialization
Citations

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

Fields of papers citing papers by Young Bae Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Bae Jun. 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 Young Bae Jun. The network helps show where Young Bae Jun may publish in the future.

Co-authors

The 25 scholars most cited alongside Young Bae Jun, 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 Young Bae Jun Line = papers co-authored together Young Bae Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 428 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Soft semirings
Hit paper breakdown →
2008422
2
Soft sets and soft rough sets
Hit paper breakdown →
2010406
3
An adjustable approach to fuzzy soft set based decision making
Hit paper breakdown →
2009396
4 2008320
5 2010119
6 2009114
7 2009107
8 2008104
9 201074
10 200373
11 201773
12 200364
13 201157
14
On BH-algebras
199855
15 201054
16 200949
17
On hyper BCK-algebras
200047
18
On $d$-ideals in $d$-algebras
199945
19 200943
20 200842

About Young Bae Jun

Young Bae Jun is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Algebra and Number Theory and Geometry and Topology, having authored 428 papers that have together received 5.4k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (334 papers), Advanced Algebra and Logic (294 papers), Fuzzy Logic and Control Systems (126 papers), Multi-Criteria Decision Making (123 papers), Rough Sets and Fuzzy Logic (90 papers), Rings, Modules, and Algebras (65 papers), Advanced Topics in Algebra (25 papers) and Optimization and Mathematical Programming (11 papers). The work is most often cited by research in Management Science and Operations Research (5.0k citations), Computational Theory and Mathematics (4.1k citations), Algebra and Number Theory (510 citations), Artificial Intelligence (1.3k citations) and Geometry and Topology (171 citations). Young Bae Jun has collaborated with scholars based in South Korea, Iran and China. Frequent co-authors include Feng Feng, Jianming Zhan, Xianzhong Zhao, Seok-Zun Song, Kyoung Ja Lee, Hee Sik Kim, Chul Hwan Park, Violeta Leoreanu-Fotea, Xiaoyan Liu and Lifeng Li. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Computers & Mathematics with Applications, Information Sciences, Fuzzy Sets and Systems and Neural Computing and Applications.

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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