Yeboon Yun

503 total citations
28 papers, 227 citations indexed

About

Yeboon Yun is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yeboon Yun has authored 28 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Yeboon Yun's work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Face and Expression Recognition (4 papers). Yeboon Yun is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Face and Expression Recognition (4 papers). Yeboon Yun collaborates with scholars based in Japan, South Korea and Germany. Yeboon Yun's co-authors include Hirotaka Nakayama, Masaaki Arakawa, Tetsuzo Tanino, Hiroki Kobayashi, Hirokazu Tanaka and Satoshi KITAYAMA and has published in prestigious journals such as Knowledge-Based Systems, Journal of Global Optimization and Optimization and Engineering.

In The Last Decade

Yeboon Yun

26 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yeboon Yun Japan 6 85 65 45 44 29 28 227
Qiang Long China 11 81 1.0× 101 1.6× 33 0.7× 37 0.8× 12 0.4× 21 337
Gideon Avigad Israel 10 151 1.8× 87 1.3× 34 0.8× 53 1.2× 23 0.8× 30 267
Yoel Tenne Israel 7 194 2.3× 172 2.6× 48 1.1× 30 0.7× 39 1.3× 23 307
Soroosh Shafieezadeh-Abadeh Switzerland 8 31 0.4× 66 1.0× 94 2.1× 62 1.4× 33 1.1× 15 254
Ko-Hsin Liang Australia 7 97 1.1× 102 1.6× 20 0.4× 20 0.5× 10 0.3× 7 240
Alan Diaz-Manríquez Mexico 8 231 2.7× 200 3.1× 50 1.1× 17 0.4× 28 1.0× 19 332
Ataollah Zaerreza Iran 11 122 1.4× 106 1.6× 18 0.4× 26 0.6× 37 1.3× 16 321
Daniel Jaeggi United Kingdom 7 108 1.3× 34 0.5× 17 0.4× 14 0.3× 43 1.5× 8 239
Philipp Limbourg Germany 9 127 1.5× 98 1.5× 48 1.1× 45 1.0× 178 6.1× 14 391

Countries citing papers authored by Yeboon Yun

Since Specialization
Citations

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

Fields of papers citing papers by Yeboon Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeboon Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Yeboon Yun. A scholar is included among the top collaborators of Yeboon 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 Yeboon Yun. Yeboon 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
1.
Yun, Yeboon, et al.. (2022). Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines. Knowledge-Based Systems. 249. 108807–108807. 2 indexed citations
2.
Yun, Yeboon, et al.. (2021). Application of Machine Learning to the Prediction of WBGT. Society of Instrument and Control Engineers of Japan. 3–8. 1 indexed citations
3.
Yun, Yeboon, et al.. (2019). A Characteristic Analysis for Quality Competitiveness Excellent Company. Journal of Society of Korea Industrial and Systems Engineering. 42(3). 95–108.
4.
Yun, Yeboon & Hirotaka Nakayama. (2013). Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms. Journal of Global Optimization. 57(2). 367–384. 5 indexed citations
5.
Yun, Yeboon, et al.. (2012). Optimal inventory control for deteriorative goods considering delays of deliveries. Journal of Information and Optimization Sciences. 33(1). 103–114. 1 indexed citations
6.
Yun, Yeboon, et al.. (2012). Prediction of bankruptcy data using machine learning techniques. Journal of the Korean Data and Information Science Society. 23(3). 569–577. 3 indexed citations
7.
Yun, Yeboon, et al.. (2011). Evolutionary multi-objective optimization using expected improvement and generalized DEA. 663–668. 1 indexed citations
8.
Nakayama, Hirotaka, et al.. (2009). Sequential approximate multi-objective optimization using computational intelligence. Springer eBooks. 4 indexed citations
9.
Yun, Yeboon, et al.. (2009). Sequential Approximate Multiobjective Optimization Using Computational Intelligence. CERN Document Server (European Organization for Nuclear Research). 78 indexed citations
10.
11.
Yun, Yeboon, et al.. (2007). Sequential Approximation Method in Multi-objective Optimization by Using Computational Intelligence. Transactions of the Society of Instrument and Control Engineers. 43(8). 672–678. 2 indexed citations
12.
13.
Nakayama, Hirotaka & Yeboon Yun. (2006). Support Vector Regression Based on Goal Programming and Multi-objective Programming. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1327. 1156–1161. 8 indexed citations
14.
Yun, Yeboon, Hirotaka Nakayama, & Masaaki Arakawa. (2005). Using support vector machines in multi-objective optimization. 223–228. 1 indexed citations
15.
Yun, Yeboon, et al.. (2004). Total Margin Algorithms in Support Vector Machines. IEICE Transactions on Information and Systems. 87(5). 1223–1230. 4 indexed citations
16.
Yun, Yeboon, et al.. (2004). Pattern classification by goal programming and support vector machines. Computational Management Science. 1(3-4). 211–230. 1 indexed citations
17.
Yun, Yeboon, et al.. (2004). A role of total margin in support vector machines. 3. 2049–2053. 25 indexed citations
18.
Yun, Yeboon, Hirotaka Nakayama, & Masaaki Arakawa. (2004). GENERATION OF PARETO FRONTIERS USING SUPPORT VECTOR MACHINE. 5 indexed citations
19.
Yun, Yeboon, Hirotaka Nakayama, Tetsuzo Tanino, & Masaaki Arakawa. (2000). A Multi-Objective Optimization Method Combining Generalized Data Envelopment Analysis and Genetic Algorithms. Transactions of the Institute of Systems Control and Information Engineers. 13(4). 179–185. 1 indexed citations
20.
Yun, Yeboon, Hirotaka Nakayama, & Tetsuzo Tanino. (1999). A Generalization of DEA Model. Transactions of the Society of Instrument and Control Engineers. 35(8). 1113–1118. 4 indexed citations

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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