Sung-Won Moon

590 total citations
68 papers, 444 citations indexed

About

Sung-Won Moon is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Sung-Won Moon has authored 68 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Electrical and Electronic Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Sung-Won Moon's work include Video Analysis and Summarization (13 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (9 papers). Sung-Won Moon is often cited by papers focused on Video Analysis and Summarization (13 papers), Video Surveillance and Tracking Methods (9 papers) and Human Pose and Action Recognition (9 papers). Sung-Won Moon collaborates with scholars based in South Korea, United States and Malaysia. Sung-Won Moon's co-authors include S. C. Lau, Yujin Lim, Jiwon Lee, H. Jin Kim, Chia‐Pin Chiu, Wonjun Kim, Suzana Prstic, Yong Hyup Kim, Michael J. Sailor and Lingyun Cheng and has published in prestigious journals such as IEEE Access, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Sung-Won Moon

63 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Won Moon South Korea 13 119 104 85 75 74 68 444
Kai Yan China 11 117 1.0× 80 0.8× 54 0.6× 56 0.7× 46 0.6× 34 389
Quang Dich Nguyen Vietnam 14 126 1.1× 314 3.0× 110 1.3× 46 0.6× 140 1.9× 68 675
Yizhong Zhang China 12 78 0.7× 96 0.9× 95 1.1× 41 0.5× 29 0.4× 26 452
Ke Ma China 11 178 1.5× 86 0.8× 72 0.8× 82 1.1× 68 0.9× 44 425
Peng Yu China 16 89 0.7× 89 0.9× 76 0.9× 60 0.8× 118 1.6× 51 543
Yu He China 10 66 0.6× 37 0.4× 156 1.8× 99 1.3× 88 1.2× 44 429
Rui Weng China 12 38 0.3× 56 0.5× 54 0.6× 53 0.7× 65 0.9× 38 463
Ankit Agarwal India 13 246 2.1× 103 1.0× 51 0.6× 38 0.5× 93 1.3× 47 576
Kazuaki Ito Japan 11 263 2.2× 58 0.6× 25 0.3× 60 0.8× 88 1.2× 108 560
Hongwei Xu China 11 177 1.5× 148 1.4× 20 0.2× 60 0.8× 67 0.9× 24 410

Countries citing papers authored by Sung-Won Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Won Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Won Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Won Moon. A scholar is included among the top collaborators of Sung-Won 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 Sung-Won Moon. Sung-Won 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.
Moon, Sung-Won, et al.. (2024). Real-Time Trajectory Control for Vehicle based on Deep Reinforcement Learning. 15. 1–4. 1 indexed citations
2.
Moon, Sung-Won & Yujin Lim. (2024). Client Selection for Federated Learning in Vehicular Edge Computing: A Deep Reinforcement Learning Approach. IEEE Access. 12. 131337–131348. 7 indexed citations
3.
Moon, Sung-Won & Yujin Lim. (2022). Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing. Sensors. 22(24). 9595–9595. 17 indexed citations
4.
Moon, Sung-Won. (2018). Ethical Principles for Counseling Psychologists, Code of Conduct, and Related Laws, and the Future Prospect in South Korea. THE KOREAN JOURNAL OF COUNSELING AND PSYCHOTHERAPY. 30(4). 1009–1034. 1 indexed citations
5.
Lee, Jiwon, et al.. (2017). A study on composition of context-based soccer analysis system. 886–889. 5 indexed citations
6.
Baek, Seung‐Min, Sung-Won Moon, & H. Jin Kim. (2016). Entry optimization using mixed integer linear programming. International Journal of Control Automation and Systems. 14(1). 282–290.
7.
Nieto, Alejandra, Huaming Hou, Sung-Won Moon, et al.. (2015). Surface Engineering of Porous Silicon Microparticles for Intravitreal Sustained Delivery of Rapamycin. Investigative Ophthalmology & Visual Science. 56(2). 1070–1080. 28 indexed citations
8.
Moon, Sung-Won, et al.. (2014). Software-based encoder for UHD digital signage system. 649–652. 2 indexed citations
9.
Lee, Jeong-Woo, et al.. (2013). Smart digital signage using smartphone. 978–981. 7 indexed citations
10.
Moon, Sung-Won, et al.. (2012). Cooperative control of differential wheeled mobile robots for box pushing problem. International Conference on Control, Automation and Systems. 140–144. 1 indexed citations
11.
Moon, Sung-Won, et al.. (2012). Cooperation with Ground and Arieal Vehicles for Multiple Tasks: Decentralized Task Assignment and Graph Connectivity Control. Journal of Institute of Control Robotics and Systems. 18(3). 218–223. 2 indexed citations
12.
Moon, Sung-Won, et al.. (2011). 3-D Numerical Simulation and Validation of Underfill Flow of Flip-Chips. IEEE Transactions on Components Packaging and Manufacturing Technology. 1(10). 1517–1522. 6 indexed citations
13.
Moon, Sung-Won, et al.. (2010). Intrinsic high-frequency characteristics of graphene layers. New Journal of Physics. 12(11). 113031–113031. 22 indexed citations
14.
Moon, Sung-Won, et al.. (2007). Three Dimensional Flow Analysis During Injection Molding Process For Stacked-Die Packages. 20–23. 2 indexed citations
15.
Moon, Sung-Won, et al.. (2006). Optimization of packaging materials and design for thermal management in stacked-die packages. 1226–1231. 2 indexed citations
16.
Moon, Sung-Won, et al.. (2004). Development and Validation of the Multidimensional Scale of Pathological Internet Use for Adolescent: The Scale for the Symptoms of Pathological Internet Use(MSPIUA-S). The Korea Journal of Youth Counseling. 12(2). 156–169. 1 indexed citations
17.
Moon, Sung-Won. (2003). The Validity and the Utility of the Korean Version of Social Skill Rating System-Secondary Level, Student Form(K-SSRS: Secondary Level, Student Form I). THE KOREAN JOURNAL OF COUNSELING AND PSYCHOTHERAPY. 15(2). 235–258. 4 indexed citations
18.
Moon, Sung-Won. (2002). The Validity and Utility of the Korean Version of Social Skill Rating System(K-SSRS: College Level). THE KOREAN JOURNAL OF COUNSELING AND PSYCHOTHERAPY. 14(3). 655–679. 2 indexed citations
19.
Moon, Sung-Won. (2002). Suicides Mediated by Internet Sites about Suicides: The Explorative Study on the Suicidal Cases Related with Suicide Sites. THE KOREAN JOURNAL OF COUNSELING AND PSYCHOTHERAPY. 14(2). 461–485. 2 indexed citations
20.
Moon, Sung-Won & S. C. Lau. (2002). Turbulent Heat Transfer Measurements on a Wall With Concave and Cylindrical Dimples in a Square Channel. 459–467. 41 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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