Il‐Chul Moon

1.5k total citations
90 papers, 860 citations indexed

About

Il‐Chul Moon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Il‐Chul Moon has authored 90 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 23 papers in Management Science and Operations Research and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Il‐Chul Moon's work include Simulation Techniques and Applications (17 papers), Complex Network Analysis Techniques (13 papers) and Topic Modeling (10 papers). Il‐Chul Moon is often cited by papers focused on Simulation Techniques and Applications (17 papers), Complex Network Analysis Techniques (13 papers) and Topic Modeling (10 papers). Il‐Chul Moon collaborates with scholars based in South Korea, United States and Canada. Il‐Chul Moon's co-authors include Kathleen M. Carley, Kyungwoo Song, Mingi Ji, Seungjae Shin, Gibeom Park, Shinjae Yoo, Frank Lin, Yiming Yang, Alice Oh and Yohan Jo and has published in prestigious journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and Pattern Recognition Letters.

In The Last Decade

Il‐Chul Moon

80 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Il‐Chul Moon South Korea	15	346	196	127	127	122	90	860
Xun Liang China	15	507 1.5×	197 1.0×	150 1.2×	226 1.8×	190 1.6×	123	1.0k
Takao Terano Japan	16	290 0.8×	140 0.7×	164 1.3×	79 0.6×	200 1.6×	188	1.1k
Gema Bello-Orgaz Spain	12	370 1.1×	191 1.0×	184 1.4×	167 1.3×	80 0.7×	26	1000
Ye Chen China	19	392 1.1×	242 1.2×	234 1.8×	72 0.6×	151 1.2×	78	1.1k
Saman Forouzandeh Australia	15	483 1.4×	198 1.0×	188 1.5×	171 1.3×	42 0.3×	24	917
Yan Fu China	19	451 1.3×	262 1.3×	91 0.7×	446 3.5×	94 0.8×	129	1.3k
Jing Xiao China	15	400 1.2×	112 0.6×	63 0.5×	146 1.1×	370 3.0×	41	865
Joaquin Quiñonero Candela United Kingdom	8	662 1.9×	380 1.9×	246 1.9×	60 0.5×	234 1.9×	9	1.3k
Joel Brynielsson Sweden	17	280 0.8×	390 2.0×	68 0.5×	80 0.6×	85 0.7×	51	946

Countries citing papers authored by Il‐Chul Moon

Since Specialization

Citations

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

Fields of papers citing papers by Il‐Chul Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Il‐Chul Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Il‐Chul Moon. A scholar is included among the top collaborators of Il‐Chul 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 Il‐Chul Moon. Il‐Chul Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moon, Il‐Chul, et al.. (2024). Reward-based Input Construction for Cross-document Relation Extraction. 9254–9270.

Song, Kyungwoo, et al.. (2023). Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognition Letters. 169. 102–109.

Moon, Il‐Chul, et al.. (2023). Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. 33. 1025–1034. 1 indexed citations

Kim, Sungeun, et al.. (2023). Welfare Program Recommendation by Conditional Variational Autoencoder and Collaborative Filtering. Journal of Korean Institute of Industrial Engineers. 49(1). 28–36. 1 indexed citations

Kim, Ju‐Hyun, et al.. (2022). Constructing a personalized recommender system for life insurance products with machine‐learning techniques. Intelligent systems in accounting, finance and management. 29(4). 242–253. 3 indexed citations

Song, Kyungwoo, et al.. (2021). LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. arXiv (Cornell University). 34. 10 indexed citations

Moon, Il‐Chul, et al.. (2020). Modeling and Simulation on One-vs-One Air Combat with Deep Reinforcement Learning. Journal of the Korea Society for Simulation. 29(1). 39–46.

Lee, Youngmin, et al.. (2016). Bayesian nonparametric collaborative topic Poisson factorization for electronic health records-based phenotyping. International Joint Conference on Artificial Intelligence. 2544–2552. 4 indexed citations

Song, Kyungwoo, et al.. (2016). Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles. International Conference on Information Fusion. 17–24. 3 indexed citations

10.

Moon, Il‐Chul, et al.. (2015). EMSSIM: emergency medical service simulator with geographic and medical details. Winter Simulation Conference. 1272–1284. 2 indexed citations

11.

Moon, Il‐Chul, et al.. (2014). Modeling multiple fields of collective emotions with brownian agent-based model. Adaptive Agents and Multi-Agents Systems. 797–804. 3 indexed citations

12.

Lee, Se‐Hoon, et al.. (2014). Simulation experiment of routing strategy for evacuees and disaster responders. 2. 2 indexed citations

13.

Moon, Il‐Chul, et al.. (2013). Theoretic interplay between abstraction, resolution, and fidelity in model information. Winter Simulation Conference. 1283–1291. 1 indexed citations

14.

Lee, Se‐Hoon, et al.. (2013). Impact of population relocation to city commerce: micro-level estimation with agent-based model. 11. 1 indexed citations

15.

Lee, Geun-Ho, et al.. (2012). Modeling and simulating network-centric operations of organizations for crisis management. Spring Simulation Multiconference. 13. 3 indexed citations

16.

Hwang, Sungsoo & Il‐Chul Moon. (2009). Are We Treating Networks Seriously? The Growth of Network Research in Public Administration & Public Policy. Connection Science. 29(2). 4–17. 16 indexed citations

17.

Carley, Kathleen M. & Il‐Chul Moon. (2008). Destabilization of adversarial organizations with strategic interventions. Journal of Cardiovascular Electrophysiology. 10(1). 52–5. 6 indexed citations

18.

Moon, Il‐Chul, Kathleen M. Carley, & Alexander H. Levis. (2008). Vulnerability Assessment on Adversarial Organization: Unifying Command and Control Structure Analysis and Social Network Analysis. 8 indexed citations

19.

Moon, Il‐Chul & Kathleen M. Carley. (2007). Modeling and Simulating Terrorist Networks in Social and Geospatial Dimensions. IEEE Intelligent Systems. 22(5). 40–49. 35 indexed citations

20.

Moon, Il‐Chul & Kathleen M. Carley. (2006). Estimating the Near-Term Changes of an Organization with Simulations.. National Conference on Artificial Intelligence. 111–118. 2 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