Won Keun Min

47 papers receiving 1.3k citations

Hit Papers

On some new operations in soft set theory200920262014202020092505007501000

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
  • Artificial Intelligence 89
  • Algebra and Number Theory 78
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 of co-authors of Won Keun Min

This figure shows the co-authorship network connecting the top 25 collaborators of Won Keun Min. A scholar is included among the top collaborators of Won Keun Min 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 Won Keun Min. Won Keun Min 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 10
2 0
3
--OPEN SETS ON -STRUCTURES
1
4 0
5 2
6 10
7
A NOTE ON WEAK QUASI GENERALIZED CONTINUITY ON BIGENERALIZED TOPOLOGICAL SPACES
1
8 151
9 27
10 0
11 1
12 0
13
Fuzzy r-minimal Semiopen Sets And Fuzzy r-M Semicontinuous Functions On Fuzzy r-Minimal Spaces
0
14
On some new operations in soft set theorybreakdown →
1024
15 14
16
R-SEMI-GENERALIZED FUZZY CONTINUOUS MAPS
0
17
SOME RESULTS ON AN INTUITIONISTIC FUZZY TOPOLOGICAL SPACE
1
18
ON M-OPEN MAPPINGS
0
19
ON M-SETS
0
20
ON FUZZY S-CONTINUOUS FUNCTIONS
3

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) and Fixed Point Theorems Analysis (12 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. Their work appears in journals such as Computers & Mathematics with Applications, Mathematical and Computer Modelling and Soft Computing.

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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