Byung-Ro Moon

73 papers receiving 1.5k citations

Hit Papers

Hybrid genetic algorithms for feature selection20042026201120182004200400600

Peers

Byung-Ro Moon
Comparison fields: 5 of 122
  • Artificial Intelligence 869
  • Computational Theory and Mathematics 349
  • Computer Vision and Pattern Recognition 250
  • Electrical and Electronic Engineering 214
  • Management Science and Operations Research 193
Replace José A. Gámez with:
José A. Gámez Spain
Heitor Silvério Lopes Brazil
Fernando G. Lobo Portugal
Brad L. Miller United States
Jesús Garcı́a Spain
Siti Mariyam Shamsuddin Malaysia
Thomas Weise China
Cezary Z. Janikow United States
Konstantinos G. Margaritis Greece
Yang Yu China
Byung-Ro Moon relative to José A. Gámez Spain José A. Gámez's profile →
Citations per field
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José A. Gámez · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 8
3 2
4 14
5 19
6 2
7 7
8 3
9 132
10 15
11 34
12
A hybrid genetic search for the sorting network problem with evolving parallel layers
11
13
Adaptive and dynamic elevator group control with a genetic algorithm
1
14
A hybrid genetic search for multi-way graph partitioning based on direct partitioning
11
15
Personalized email marketing with a genetic programming circuit model
7
16 12
17
A hybrid genetic algorithm for multiway graph partitioning
18
18
A hybrid genetic search for graph partitioning based on lock gain
6
19
The natural crossover for the 2D Euclidean TSP
15
20
Synergy of multiple crossover operators in a genetic algorithm
1

About Byung-Ro Moon

Byung-Ro Moon is a scholar working on Computational Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Evolutionary Algorithms and Applications (24 papers) and VLSI and FPGA Design Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (869 citations), Computational Theory and Mathematics (349 citations) and Management Science and Operations Research (193 citations). Byung-Ro Moon has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Journal of Hydrology.

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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