Chiung Moon

1.4k total citations
30 papers, 1.0k citations indexed

About

Chiung Moon is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Chiung Moon has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 4 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in Chiung Moon's work include Advanced Manufacturing and Logistics Optimization (20 papers), Scheduling and Optimization Algorithms (14 papers) and Manufacturing Process and Optimization (11 papers). Chiung Moon is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (20 papers), Scheduling and Optimization Algorithms (14 papers) and Manufacturing Process and Optimization (11 papers). Chiung Moon collaborates with scholars based in South Korea and Japan. Chiung Moon's co-authors include Young Hae Lee, Yoonho Seo, Chan Seok Jeong, YoungSu Yun, Jong-Soo Kim, Gyunghyun Choi, Sun Hur, Mitsuo Gen, Daeho Kim and Tae‐Jin Choi and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Chiung Moon

29 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiung Moon South Korea 15 754 183 140 119 117 30 1.0k
Gürsel A. Süer United States 22 1.2k 1.5× 109 0.6× 96 0.7× 88 0.7× 160 1.4× 103 1.4k
Mary E. Kurz United States 16 904 1.2× 138 0.8× 125 0.9× 122 1.0× 49 0.4× 50 1.1k
Zailin Guan China 19 1.1k 1.4× 85 0.5× 188 1.3× 89 0.7× 98 0.8× 78 1.2k
Yi-Chi Wang Taiwan 17 470 0.6× 80 0.4× 191 1.4× 127 1.1× 142 1.2× 41 774
Can Saygin United States 18 553 0.7× 140 0.8× 51 0.4× 160 1.3× 97 0.8× 49 951
Seyed Habib A. Rahmati Iran 14 503 0.7× 138 0.8× 137 1.0× 152 1.3× 73 0.6× 21 975
Yaoguang Hu China 18 508 0.7× 78 0.4× 64 0.5× 175 1.5× 83 0.7× 64 885
M.A. Al‐Fawzan Saudi Arabia 12 450 0.6× 98 0.5× 80 0.6× 60 0.5× 204 1.7× 22 707
Colin L. Moodie United States 18 845 1.1× 136 0.7× 85 0.6× 56 0.5× 133 1.1× 61 1.0k
Yves Sallez France 17 582 0.8× 82 0.4× 51 0.4× 119 1.0× 60 0.5× 50 860

Countries citing papers authored by Chiung Moon

Since Specialization
Citations

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

Fields of papers citing papers by Chiung Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiung Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Chiung Moon. A scholar is included among the top collaborators of Chiung 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 Chiung Moon. Chiung 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.
Lee, Hee-Jung, et al.. (2020). Pine Needle Extract Applicable to Topical Treatment for the Prevention of Human Papillomavirus Infection. Journal of Microbiology and Biotechnology. 31(1). 137–143. 8 indexed citations
2.
Moon, Chiung, et al.. (2018). Antiviral activity of Poncirus trifoliata seed extract against oseltamivir-resistant influenza virus. The Journal of Microbiology. 56(8). 586–592. 14 indexed citations
3.
Moon, Chiung, et al.. (2017). Antiviral effects of extracts from Celosia cristata and Raphanus sativus roots against viral hemorrhagic septicemia virus. Archives of Virology. 162(6). 1711–1716. 15 indexed citations
4.
Yun, YoungSu, et al.. (2011). Hybrid genetic algorithm approach for precedence-constrained sequencing problem. Computers & Industrial Engineering. 65(1). 137–147. 26 indexed citations
5.
Yun, YoungSu & Chiung Moon. (2009). Genetic algorithm approach for precedence-constrained sequencing problems. Journal of Intelligent Manufacturing. 22(3). 379–388. 27 indexed citations
6.
Yun, YoungSu & Chiung Moon. (2008). Adaptive Genetic Algorithm with Local Search for Solving Reliability Optimization Design Problems. 대한산업공학회 춘계공동학술대회 논문집. 1172–1179. 1 indexed citations
7.
Moon, Chiung, et al.. (2008). An Adaptive Evolutionary Algorithm for the Operation Sequencing with Precedence Constraints. 20. 113–113. 1 indexed citations
8.
Moon, Chiung, et al.. (2007). An implementation case for the performance appraisal and promotion ranking. 661–667. 17 indexed citations
9.
Moon, Chiung, Young Hae Lee, Chan Seok Jeong, & YoungSu Yun. (2007). Integrated process planning and scheduling in a supply chain. Computers & Industrial Engineering. 54(4). 1048–1061. 72 indexed citations
10.
Kim, Jong Soo, et al.. (2006). Supplier–buyer models for the bargaining process over a long-term replenishment contract. Computers & Industrial Engineering. 51(2). 219–228. 8 indexed citations
11.
Moon, Chiung, Yoonho Seo, YoungSu Yun, & Mitsuo Gen. (2006). Adaptive genetic algorithm for advanced planning in manufacturing supply chain. Journal of Intelligent Manufacturing. 17(4). 509–522. 33 indexed citations
12.
Moon, Chiung & Yoonho Seo. (2005). Advanced planning for minimizing makespan with load balancing in multi-plant chain. International Journal of Production Research. 43(20). 4381–4396. 9 indexed citations
13.
Moon, Chiung & Yoonho Seo. (2005). Evolutionary algorithm for advanced process planning and scheduling in a multi-plant. Computers & Industrial Engineering. 48(2). 311–325. 75 indexed citations
14.
Moon, Chiung, Young Hae Lee, & Mitsuo Gen. (2004). Evolutionary Algorithm for Process Plan Selection with Multiple Objectives. Industrial Engineering & Management Systems. 3(2). 116–122. 2 indexed citations
15.
Moon, Chiung, et al.. (2002). Integrated machine tool selection and operation sequencing with capacity and precedence constraints using genetic algorithm. Computers & Industrial Engineering. 43(3). 605–621. 35 indexed citations
16.
Moon, Chiung, Yinzhen Li, & Mitsuo Gen. (2002). Evolutionary algorithm for flexible process sequencing with multiple objectives. 27–32. 3 indexed citations
17.
Moon, Chiung, et al.. (2002). Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Computers & Industrial Engineering. 43(1-2). 331–349. 132 indexed citations
18.
Lee, Young Hae, Chan Seok Jeong, & Chiung Moon. (2002). Advanced planning and scheduling with outsourcing in manufacturing supply chain. Computers & Industrial Engineering. 43(1-2). 351–374. 175 indexed citations
19.
Moon, Chiung, et al.. (2000). A Genetic Algorithm Application for the Load Balancing of Ship Erection Process. IE interfaces. 13(2). 225–233. 3 indexed citations
20.
Moon, Chiung & Mitsuo Gen. (1999). A genetic algorithm-based approach for design of independent manufacturing cells. International Journal of Production Economics. 60-61. 421–426. 46 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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