Young-Bae Jun

931 citations
92 papers · 633 · h-index 14

Impact in

Papers in

Young-Bae Jun

71 papers receiving 522 citations

Peers

Young-Bae Jun
Comparison fields: 5 of 27
  • Management Science and Operations Research 480
  • Computational Theory and Mathematics 490
  • Algebra and Number Theory 77
  • Geometry and Topology 61
  • Artificial Intelligence 232
Replace Naseem Ajmal with:
Naseem Ajmal India
Bin Zhao China
Thomas Vetterlein Austria
Radomír Halaš Czechia
Marcel Erné Germany
K. P. Shum China
Stojan Bogdanović Serbia
Hashem Bordbar Slovenia
R. Ameri Iran
Xueling Ma China
Young-Bae Jun relative to Naseem Ajmal India Naseem Ajmal's profile →
Citations per field
00.5×2.9×
Naseem Ajmal · 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Implicative filters of lattice implication algebras
199777
2 200555
3 200845
4 200334
5
PSEUDO-BCI ALGEBRAS
200829
6 200729
7
LI-ideals in lattice implication algebras
199826
8
Positive implicative and associative filters of lattice implication algebras
199825
9 200918
10 200716
11 201016
12
Anti Fuzzy Ideals in BCK-algebras
199814
13
FUZZY IDEALS IN NEAR-RINGS
199813
14 201113
15
Rough set theory applied to BCI-algebras
200212
16 200912
17 201011
18 201910
19
ON LI-IDEALS AND PRIME LI-IDEALS OF LATTICE IMPLICATION ALGEBRAS
19998
20 20068

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 92 papers that have together received 633 indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (64 papers), Advanced Algebra and Logic (56 papers), Fuzzy Logic and Control Systems (31 papers), Rough Sets and Fuzzy Logic (20 papers), Rings, Modules, and Algebras (14 papers), Multi-Criteria Decision Making (12 papers), Advanced Topics in Algebra (11 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Management Science and Operations Research (480 citations), Computational Theory and Mathematics (490 citations), Algebra and Number Theory (77 citations), Geometry and Topology (61 citations) and Artificial Intelligence (232 citations). Young-Bae Jun has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Mehmet Ali̇ Öztürk, Seok-Zun Song, Chulhwan Park, Wiesław A. Dudek, Sung‐Min Hong, Yang Xu, Keyun Qin, Yang Xu, Hee-Sik Kim and Chul Hwan Park. Their work appears in journals such as Linear Algebra and its Applications, Journal of the Korean Mathematical Society, Communications of the Korean Mathematical Society, Bulletin of the Korean Mathematical Society and Linear and Multilinear Algebra.

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.

Explore authors with similar magnitude of impact