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

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines 2022 ·Knowledge-Based Systems ·(unknown), (unknown), (unknown), (unknown), Yeboon Yun	2
2	Application of Machine Learning to the Prediction of WBGT 2021 ·Society of Instrument and Control Engineers of Japan ·(unknown), Yeboon Yun, (unknown)	1
3	A Characteristic Analysis for Quality Competitiveness Excellent Company 2019 ·Journal of Society of Korea Industrial and Systems Engineering ·(unknown), Yeboon Yun, (unknown), (unknown), (unknown), (unknown)	0
4	Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms 2013 ·Journal of Global Optimization ·Yeboon Yun, Hirotaka Nakayama	5
5	Optimal inventory control for deteriorative goods considering delays of deliveries 2012 ·Journal of Information and Optimization Sciences ·Yeboon Yun, (unknown), (unknown)	1
6	Prediction of bankruptcy data using machine learning techniques 2012 ·Journal of the Korean Data and Information Science Society ·(unknown), Yeboon Yun, (unknown)	3
7	Evolutionary multi-objective optimization using expected improvement and generalized DEA 2011 ·Yeboon Yun, Hirotaka Nakayama, (unknown)	1
8	Sequential approximate multi-objective optimization using computational intelligence 2009 ·Springer eBooks ·Hirotaka Nakayama, Yeboon Yun, (unknown)	4
9	Sequential Approximate Multiobjective Optimization Using Computational Intelligence 2009 ·CERN Document Server (European Organization for Nuclear Research) ·(unknown), Yeboon Yun, Hirotaka Nakayama	78
10	EVALUATION OF THE DANGER OF SLOPES IN VIEW OF THE EFFECT VALUE OF MEASURE CONSTRUCTIONS USING SUPPORT VECTOR MACHINE 2007 ·(unknown), Hiroki Kobayashi, Yeboon Yun, Hirokazu Tanaka, Hirotaka Nakayama, (unknown)	1
11	Sequential Approximation Method in Multi-objective Optimization by Using Computational Intelligence 2007 ·Transactions of the Society of Instrument and Control Engineers ·Yeboon Yun, Hirotaka Nakayama, (unknown)	2
12	Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence 2007 ·Hirotaka Nakayama, Yeboon Yun	1
13	Support Vector Regression Based on Goal Programming and Multi-objective Programming 2006 ·The 2006 IEEE International Joint Conference on Neural Network Proceedings ·Hirotaka Nakayama, Yeboon Yun	8
14	Using support vector machines in multi-objective optimization 2005 ·Yeboon Yun, Hirotaka Nakayama, Masaaki Arakawa	1
15	Total Margin Algorithms in Support Vector Machines 2004 ·IEICE Transactions on Information and Systems ·(unknown), Yeboon Yun, Hirotaka Nakayama	4
16	Pattern classification by goal programming and support vector machines 2004 ·Computational Management Science ·(unknown), Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino	1
17	A role of total margin in support vector machines 2004 ·(unknown), Yeboon Yun, Hirotaka Nakayama	25
18	GENERATION OF PARETO FRONTIERS USING SUPPORT VECTOR MACHINE 2004 ·Yeboon Yun, Hirotaka Nakayama, Masaaki Arakawa	5
19	A Multi-Objective Optimization Method Combining Generalized Data Envelopment Analysis and Genetic Algorithms 2000 ·Transactions of the Institute of Systems Control and Information Engineers ·Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masaaki Arakawa	1
20	A Generalization of DEA Model 1999 ·Transactions of the Society of Instrument and Control Engineers ·Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino	4

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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