Won Keun Min

2.1k citations
65 papers · 1.5k indexed · 1 hit paper · h-index 13

Won Keun Min

47 papers receiving 1.3k citations

Hit Papers

On some new operations in soft set theory1.0k20092026201420202505007501000

Peers

Won Keun Min
Comparison fields: 5 of 38
  • Management Science and Operations Research 1.5k
  • Computational Theory and Mathematics 1.1k
  • Geometry and Topology 150
  • Algebra and Number Theory 78
  • Statistics and Probability 37
Replace Violeta Leoreanu-Fotea with:
Violeta Leoreanu-Fotea Romania
Dexue Zhang China
P. Corsini Italy
Á. Császár Hungary
S.E. Rodabaugh United States
Hacı Aktaş Türkiye
Seok-Zun Song South Korea
Zhen-Yu Xiu China
Takashi Noiri Japan
Piergiulio Corsini Italy
Won Keun Min relative to Violeta Leoreanu-Fotea Romania Violeta Leoreanu-Fotea's profile →
Citations per field
00.5×2.9×
Violeta Leoreanu-Fotea · 1×
Citations per year

Countries citing papers authored by Won Keun Min

Since Specialization
Citations

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

Fields of papers citing papers by Won Keun Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Keun Min. 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 Won Keun Min. The network helps show where Won Keun Min may publish in the future.

Co-authorship network

The 5 scholars most cited alongside Won Keun Min, 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 Won Keun Min Line = papers co-authored together Won Keun Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201810
2 20170
3
--OPEN SETS ON -STRUCTURES
20151
4 20150
5 20132
6 201210
7
A NOTE ON WEAK QUASI GENERALIZED CONTINUITY ON BIGENERALIZED TOPOLOGICAL SPACES
20111
8 2011151
9 201127
10 20110
11 20111
12 20100
13
Fuzzy r-minimal Semiopen Sets And Fuzzy r-M Semicontinuous Functions On Fuzzy r-Minimal Spaces
20090
14
On some new operations in soft set theorybreakdown →
20091024
15 200914
16
R-SEMI-GENERALIZED FUZZY CONTINUOUS MAPS
20070
17
SOME RESULTS ON AN INTUITIONISTIC FUZZY TOPOLOGICAL SPACE
20061
18
ON M-OPEN MAPPINGS
19990
19
ON M-SETS
19990
20
ON FUZZY S-CONTINUOUS FUNCTIONS
19963

About Won Keun Min

Won Keun Min is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Geometry and Topology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (62 papers), Advanced Algebra and Logic (45 papers), Fixed Point Theorems Analysis (12 papers), Multi-Criteria Decision Making (8 papers), Rough Sets and Fuzzy Logic (7 papers), Advanced Topology and Set Theory (7 papers), Constraint Satisfaction and Optimization (2 papers) and Rings, Modules, and Algebras (2 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Computational Theory and Mathematics (1.1k citations) and Geometry and Topology (150 citations). Won Keun Min has collaborated with scholars based in South Korea, Saudi Arabia and Egypt. Frequent co-authors include Muhammad İrfan Ali, Feng Feng, Muhammad Shabir, Xiaoyan Liu and D. C. Kent.

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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