Sung-Do Chi

408 total citations
43 papers, 224 citations indexed

About

Sung-Do Chi is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Sung-Do Chi has authored 43 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 16 papers in Management Science and Operations Research and 14 papers in Artificial Intelligence. Recurrent topics in Sung-Do Chi's work include Simulation Techniques and Applications (16 papers), Military Defense Systems Analysis (8 papers) and AI-based Problem Solving and Planning (7 papers). Sung-Do Chi is often cited by papers focused on Simulation Techniques and Applications (16 papers), Military Defense Systems Analysis (8 papers) and AI-based Problem Solving and Planning (7 papers). Sung-Do Chi collaborates with scholars based in South Korea, United States and Colombia. Sung-Do Chi's co-authors include Bernard P. Zeigler, Jong Sou Park, Thandar Thein, Jong‐Keun Lee, Dong-Hoon Shin, Jongkeun Lee, Minwoo Lee, François E. Cellier, Jae‐Ick Kim and Donghoon Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Journal of Intelligent & Robotic Systems.

In The Last Decade

Sung-Do Chi

38 papers receiving 209 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-Do Chi South Korea 8 94 70 62 46 45 43 224
Francesco Pupo Italy 10 127 1.4× 36 0.5× 39 0.6× 56 1.2× 51 1.1× 51 318
Jan Magott Poland 10 45 0.5× 30 0.4× 39 0.6× 38 0.8× 12 0.3× 34 354
A. V. Ramesh United States 7 94 1.0× 22 0.3× 33 0.5× 44 1.0× 16 0.4× 17 292
Daniel T. Brunner United States 9 34 0.4× 133 1.9× 19 0.3× 28 0.6× 20 0.4× 38 257
Amal El Fallah Seghrouchni France 9 107 1.1× 14 0.2× 74 1.2× 24 0.5× 191 4.2× 48 312
Philippe Laborie France 13 207 2.2× 147 2.1× 10 0.2× 29 0.6× 83 1.8× 18 580
Nicola Policella Italy 9 194 2.1× 90 1.3× 30 0.5× 14 0.3× 108 2.4× 43 373
John Davis United States 6 110 1.2× 54 0.8× 24 0.4× 30 0.7× 39 0.9× 7 295
Ken Pierce United Kingdom 9 44 0.5× 28 0.4× 61 1.0× 29 0.6× 42 0.9× 28 217
Manzhan Gu China 9 100 1.1× 27 0.4× 25 0.4× 35 0.8× 85 1.9× 21 331

Countries citing papers authored by Sung-Do Chi

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Do Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Do Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Do Chi. A scholar is included among the top collaborators of Sung-Do Chi 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-Do Chi. Sung-Do Chi 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.
Chi, Sung-Do, et al.. (2017). The Genetic Algorithm using Variable Chromosome with Chromosome Attachment for decision making model. Journal of the Korea Society for Simulation. 26(4). 1–10. 1 indexed citations
2.
Chi, Sung-Do, et al.. (2017). Multi-Agent based Design of Autonomous UAVs for both Flocking and Formation Flight. 21(6). 521–528. 3 indexed citations
3.
Chi, Sung-Do, et al.. (2014). Modeling and Simulation for Anti-submarine HVU Escort Mission. Journal of the Korea Society for Simulation. 23(4). 75–83. 1 indexed citations
4.
Chi, Sung-Do, et al.. (2011). The Rule-based Agent Modeling and Simulation considering the Evacuation Behavior Characteristics on the Passenger Ship Fire. Journal of the Korea Society for Simulation. 20(3). 111–117. 2 indexed citations
5.
Chi, Sung-Do, et al.. (2011). Simulation-Based Tactics Generation for Warship Combat Using the Genetic Algorithm. IEICE Transactions on Information and Systems. E94-D(12). 2533–2536. 2 indexed citations
6.
Chi, Sung-Do, et al.. (2010). A study of Cluster Tool Scheduler Algorithm which is Support Various Transfer Patterns and Improved Productivity. Journal of the Korea Society for Simulation. 19(4). 99–109. 1 indexed citations
7.
Chi, Sung-Do, et al.. (2010). A Study of HEAP-based Intelligent Agent applied to Warship Combat Simulation. Journal of the Korea Society for Simulation. 19(4). 281–289.
8.
Kim, Jae‐Ick, et al.. (2009). Multi-Platform Warship M&S System Using the Hierarchical Multi-Agent System. Journal of the Korea Society for Simulation. 18(4). 117–125.
9.
Chi, Sung-Do, et al.. (2009). FAMES: fully agent-based modeling & emergent simulation. Spring Simulation Multiconference. 29. 4 indexed citations
10.
Chi, Sung-Do, et al.. (2008). Design of No-human-in-the-Loop Battleship Warfare M&S System applied to the Korea Yellow Sea Warfare Case using Agent-based Modeling. Journal of the Korea Society for Simulation. 17(2). 49–61. 3 indexed citations
11.
Thein, Thandar, Sung-Do Chi, & Jong Sou Park. (2008). Availability Modeling and Analysis on Virtualized Clustering with Rejuvenation. 25 indexed citations
12.
Park, Jong Sou, Thandar Thein, & Sung-Do Chi. (2007). Availability Analysis and Improvement of Software Rejuvenation Using Virtualization. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Zeigler, Bernard P. & Sung-Do Chi. (2005). Hierarchical Encapsulation and Abstraction Principle (heap) for Autonomous System Development. 176–180. 2 indexed citations
14.
Zeigler, Bernard P. & Sung-Do Chi. (2002). Symbolic discrete event system specification. 77. 130–141. 3 indexed citations
15.
Chi, Sung-Do, et al.. (2001). Model-based architecture for evolutionary intelligent systems. 18(1). 2–8. 1 indexed citations
16.
Chi, Sung-Do. (1996). Linear polynomial constraints inferencing algorithm. 3(2). 1 indexed citations
17.
Zeigler, Bernard P. & Sung-Do Chi. (1994). DEVS-BASED INTELLIGENT CONTROL: SPACE-ADAPTED MIXING SYSTEM EXAMPLE. Cybernetics & Systems. 25(3). 471–510. 2 indexed citations
18.
Zeigler, Bernard P. & Sung-Do Chi. (1993). Model-based architecture concepts for autonomous systems design and simulation. Kluwer Academic Publishers eBooks. 57–78. 4 indexed citations
19.
Chi, Sung-Do, François E. Cellier, & Bernard P. Zeigler. (1991). Modelling and simulation for high-autonomy systems. UA Campus Repository (The University of Arizona). 167–167. 6 indexed citations
20.
Chi, Sung-Do, Bernard P. Zeigler, & François E. Cellier. (1991). Model-based task planning system for a space laboratory environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1387. 182–182. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026