Byung-Ro Moon

2.6k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

Byung-Ro Moon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Byung-Ro Moon has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Byung-Ro Moon's work include Metaheuristic Optimization Algorithms Research (30 papers), Evolutionary Algorithms and Applications (24 papers) and VLSI and FPGA Design Techniques (12 papers). Byung-Ro Moon is often cited by papers focused on Metaheuristic Optimization Algorithms Research (30 papers), Evolutionary Algorithms and Applications (24 papers) and VLSI and FPGA Design Techniques (12 papers). Byung-Ro Moon collaborates with scholars based in South Korea, United Kingdom and United States. Byung-Ro Moon's co-authors include Jin-Seon Lee, Il-Seok Oh, Yong-Hyuk Kim, Yung‐Keun Kwon, Yourim Yoon, Seung‐Hyun Moon, Alberto Moraglio, Yong Hee Lee, Jin Kim and Thanh‐Tung Bui and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Journal of Hydrology.

In The Last Decade

Byung-Ro Moon

73 papers receiving 1.5k citations

Hit Papers

Hybrid genetic algorithms for feature selection 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung-Ro Moon South Korea 17 869 349 250 214 193 75 1.6k
Essam Said Hanandeh Jordan 12 867 1.0× 278 0.8× 256 1.0× 177 0.8× 129 0.7× 24 1.6k
Changjing Shang United Kingdom 26 889 1.0× 307 0.9× 492 2.0× 130 0.6× 162 0.8× 162 2.2k
Zhifeng Hao China 24 913 1.1× 215 0.6× 388 1.6× 129 0.6× 118 0.6× 160 1.9k
Konstantinos G. Margaritis Greece 18 908 1.0× 306 0.9× 231 0.9× 103 0.5× 145 0.8× 117 1.5k
José A. Gámez Spain 25 1.2k 1.4× 288 0.8× 291 1.2× 84 0.4× 292 1.5× 130 2.1k
Feng Zou China 26 988 1.1× 569 1.6× 455 1.8× 291 1.4× 83 0.4× 127 2.2k
Tansel Dökeroğlu Türkiye 18 832 1.0× 311 0.9× 238 1.0× 131 0.6× 113 0.6× 44 1.6k
Detlef Nauck United Kingdom 20 1.5k 1.7× 260 0.7× 191 0.8× 98 0.5× 227 1.2× 66 2.3k
Fernando G. Lobo Portugal 18 1.6k 1.8× 743 2.1× 135 0.5× 316 1.5× 122 0.6× 46 2.4k
Ran Wang China 28 1.5k 1.7× 485 1.4× 614 2.5× 204 1.0× 234 1.2× 88 2.4k

Countries citing papers authored by Byung-Ro Moon

Since Specialization
Citations

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

Fields of papers citing papers by Byung-Ro Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung-Ro Moon. 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 Byung-Ro Moon. The network helps show where Byung-Ro Moon may publish in the future.

Co-authorship network of co-authors of Byung-Ro Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Byung-Ro Moon. A scholar is included among the top collaborators of Byung-Ro Moon 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 Byung-Ro Moon. Byung-Ro Moon 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.
Kim, Jinhyun, et al.. (2019). Investigation of incremental hybrid genetic algorithm with subgraph isomorphism problem. Swarm and Evolutionary Computation. 49. 75–86. 9 indexed citations
2.
Moon, Seung‐Hyun, et al.. (2018). Detecting Anomalies in Meteorological Data Using Support Vector Regression. Advances in Meteorology. 2018. 1–14. 8 indexed citations
3.
Ha, Sungjoo & Byung-Ro Moon. (2015). Fast Knowledge Discovery in Time Series with GPGPU on Genetic Programming. 1159–1166. 2 indexed citations
4.
Yoon, Yourim, Yong-Hyuk Kim, Alberto Moraglio, & Byung-Ro Moon. (2011). Quotient geometric crossovers and redundant encodings. Theoretical Computer Science. 425. 4–16. 14 indexed citations
5.
Yoon, Yourim, Yong-Hyuk Kim, Alberto Moraglio, & Byung-Ro Moon. (2011). A theoretical and empirical study on unbiased boundary-extended crossover for real-valued representation. Information Sciences. 183(1). 48–65. 19 indexed citations
6.
Lee, Seung‐Kyu & Byung-Ro Moon. (2010). A new modular genetic programming for finding attractive technical patterns in stock markets. 5. 1219–1226. 2 indexed citations
7.
Jung, Kyomin, et al.. (2009). Lower and Upper Bounds for Linkage Discovery. IEEE Transactions on Evolutionary Computation. 13(2). 201–216. 7 indexed citations
8.
Yoon, Yourim, Yong-Hyuk Kim, & Byung-Ro Moon. (2008). Feasibility-preserving crossover for maximum k-coverage problem. 593–598. 3 indexed citations
9.
Kwon, Yung‐Keun & Byung-Ro Moon. (2007). A Hybrid Neurogenetic Approach for Stock Forecasting. IEEE Transactions on Neural Networks. 18(3). 851–864. 132 indexed citations
10.
Seo, Dong-il & Byung-Ro Moon. (2007). An Information-Theoretic Analysis on the Interactions of Variables in Combinatorial Optimization Problems. Evolutionary Computation. 15(2). 169–198. 15 indexed citations
11.
Moraglio, Alberto, Yong-Hyuk Kim, Yourim Yoon, & Byung-Ro Moon. (2007). Geometric Crossovers for Multiway Graph Partitioning. Evolutionary Computation. 15(4). 445–474. 34 indexed citations
12.
Moon, Byung-Ro, et al.. (2001). A hybrid genetic search for the sorting network problem with evolving parallel layers. Genetic and Evolutionary Computation Conference. 258–265. 11 indexed citations
13.
Kim, Jung Hwan & Byung-Ro Moon. (2001). Adaptive and dynamic elevator group control with a genetic algorithm. Genetic and Evolutionary Computation Conference. 1322–1329. 1 indexed citations
14.
Kim, Jong-Pil & Byung-Ro Moon. (2001). A hybrid genetic search for multi-way graph partitioning based on direct partitioning. Genetic and Evolutionary Computation Conference. 408–415. 11 indexed citations
15.
Kwon, Yung‐Keun & Byung-Ro Moon. (2001). Personalized email marketing with a genetic programming circuit model. Genetic and Evolutionary Computation Conference. 1352–1358. 7 indexed citations
16.
Kim, Yong-Hyuk, et al.. (2001). A hybrid genetic algorithm for the MAX CUT problem. 167(8). 416–423. 12 indexed citations
17.
Kang, Sojin & Byung-Ro Moon. (2000). A hybrid genetic algorithm for multiway graph partitioning. Genetic and Evolutionary Computation Conference. 159–166. 18 indexed citations
18.
Kim, Yong-Hyuk & Byung-Ro Moon. (2000). A hybrid genetic search for graph partitioning based on lock gain. Genetic and Evolutionary Computation Conference. 167–174. 6 indexed citations
19.
Moon, Byung-Ro, et al.. (2000). The natural crossover for the 2D Euclidean TSP. Genetic and Evolutionary Computation Conference. 1003–1010. 15 indexed citations
20.
Moon, Byung-Ro, et al.. (2000). Synergy of multiple crossover operators in a genetic algorithm. Genetic and Evolutionary Computation Conference. 374–374. 1 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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