J. Moon

3.1k total citations
4 papers, 18 citations indexed

About

J. Moon is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, J. Moon has authored 4 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Signal Processing. Recurrent topics in J. Moon's work include Cryptography and Data Security (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Second Language Acquisition and Learning (1 paper). J. Moon is often cited by papers focused on Cryptography and Data Security (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Second Language Acquisition and Learning (1 paper). J. Moon collaborates with scholars based in South Korea and United Kingdom. J. Moon's co-authors include Kang Yoon Lee and has published in prestigious journals such as IEEE Access, ELT Journal and The Journal of Korean Institute of Communications and Information Sciences.

In The Last Decade

J. Moon

3 papers receiving 18 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Moon South Korea	3	11	3	3	3	3	4	18
K. L. Han China	2	14 1.3×	2 0.7×	3 1.0×			5	23
L. F. Chaparro Sierra Colombia	3	9 0.8×	4 1.3×	2 0.7×			8	18
Zhiheng Xi China	4	15 1.4×	2 0.7×	4 1.3×			9	26
H. J. Moss United Kingdom	2	12 1.1×	5 1.7×	3 1.0×			3	17
S. Falk Germany	3	6 0.5×	3 1.0×	2 0.7×			3	27
Denis Teplyashin United Kingdom	2	15 1.4×	3 1.0×	1 0.3×			3	21
Raquel Fernández Netherlands	4	29 2.6×	2 0.7×	3 1.0×	7 2.3×		11	38
M. Pikies United States	2	6 0.5×	2 0.7×	4 1.3×			2	13
Mika Nakano Japan	3	4 0.4×		3 1.0×	3 1.0×	3 1.0×	5	10
Suzanne Lightman	2	7 0.6×	7 2.3×	4 1.3×		1 0.3×	2	14

Countries citing papers authored by J. Moon

Since Specialization

Citations

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

Fields of papers citing papers by J. Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Moon

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

All Works

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4 of 4 papers shown

1.

Moon, J., et al.. (2024). FedOps: A Platform of Federated Learning Operations With Heterogeneity Management. IEEE Access. 12. 4301–4314. 9 indexed citations

2.

Moon, J., et al.. (2024). Detection Error Probability Maximization for Disguised Full-Duplex Covert Communications. The Journal of Korean Institute of Communications and Information Sciences. 49(12). 1715–1728.

3.

Moon, J., et al.. (2023). FLScalize: Federated Learning Lifecycle Management Platform. IEEE Access. 11. 47212–47222. 6 indexed citations

4.

Moon, J.. (2007). L2 children and writing: a neglected skill?. ELT Journal. 62(4). 398–400. 3 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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