Jaekyun Moon

2.9k total citations
164 papers, 1.9k citations indexed

About

Jaekyun Moon is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jaekyun Moon has authored 164 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Electrical and Electronic Engineering, 95 papers in Computer Networks and Communications and 67 papers in Artificial Intelligence. Recurrent topics in Jaekyun Moon's work include Advanced Wireless Communication Techniques (73 papers), Error Correcting Code Techniques (50 papers) and Cellular Automata and Applications (48 papers). Jaekyun Moon is often cited by papers focused on Advanced Wireless Communication Techniques (73 papers), Error Correcting Code Techniques (50 papers) and Cellular Automata and Applications (48 papers). Jaekyun Moon collaborates with scholars based in United States, South Korea and Canada. Jaekyun Moon's co-authors include L.R. Carley, Jong-Seung Park, Minseok Choi, Dong-Jun Han, Jy-yong Sohn, Joongheon Kim, S.W. Yoon, J.-G. Zhu, Jihoon Park and Jeongseok Ha and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Jaekyun Moon

150 papers receiving 1.8k citations

Peers

Jaekyun Moon
A. Kavcic United States
Soon Xin Ng United Kingdom
H. Yamamoto Japan
B. Keith Jenkins United States
Henry D. Pfister United States
J.V. McCanny United Kingdom
Eiji Okamoto Japan
Behrooz Parhami United States
W.E. Ryan United States
Mark G. Karpovsky United States
A. Kavcic United States
Jaekyun Moon
Citations per year, relative to Jaekyun Moon Jaekyun Moon (= 1×) peers A. Kavcic

Countries citing papers authored by Jaekyun Moon

Since Specialization
Citations

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

Fields of papers citing papers by Jaekyun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaekyun Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Jaekyun Moon. A scholar is included among the top collaborators of Jaekyun 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 Jaekyun Moon. Jaekyun 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.
Han, Dong-Jun, et al.. (2024). Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11588–11596.
2.
Han, Dong-Jun, et al.. (2023). Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16927–16935.
3.
Han, Dong-Jun, et al.. (2021). Sageflow: Robust Federated Learning against Both Stragglers and Adversaries. Neural Information Processing Systems. 34. 26 indexed citations
4.
Park, Young-Hyun, et al.. (2021). Few-Round Learning for Federated Learning. neural information processing systems. 34. 4 indexed citations
5.
Sohn, Jy-yong, et al.. (2020). Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. arXiv (Cornell University). 33. 14615–14625. 7 indexed citations
6.
Moon, Jaekyun, et al.. (2020). Improving SSD Read Latency via Coding. IEEE Transactions on Computers. 69(12). 1809–1822.
7.
Sohn, Jy-yong, et al.. (2019). Coded Matrix Multiplication on a Group-Based Model. 722–726. 20 indexed citations
8.
Sohn, Jy-yong, et al.. (2019). Scalable Network-Coded PBFT Consensus Algorithm. 857–861. 19 indexed citations
9.
Moon, Jaekyun, et al.. (2019). Irregular Product Coded Computation for High-Dimensional Matrix Multiplication. 1782–1786. 6 indexed citations
10.
Han, Dong-Jun, et al.. (2018). Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. IEEE Transactions on Vehicular Technology. 67(9). 8959–8963. 4 indexed citations
11.
Choi, Minseok, Joongheon Kim, & Jaekyun Moon. (2018). Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements. IEEE Journal on Selected Areas in Communications. 36(6). 1245–1257. 59 indexed citations
12.
Lee, Dongwon, et al.. (2016). Reducing repair-bandwidth using codes based on factor graphs. 1–6. 2 indexed citations
13.
Kim, Kyungjin & Jaekyun Moon. (2013). Experimental Characterization of Transition Noise in HAMR. IEEE Transactions on Magnetics. 49(7). 3675–3678. 7 indexed citations
14.
Yoon, S.W. & Jaekyun Moon. (2012). Two-dimensional cyclic codes correcting known error patterns. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 3231–3236. 2 indexed citations
15.
Park, Jihoon & Jaekyun Moon. (2006). Cyclic Codes Tailored to a Known Set of Error Patterns.. Global Communications Conference. 4 indexed citations
16.
Moon, Jaekyun, et al.. (2001). Detection signal-to-noise ratio versus bit cell aspect ratio at high areal densities. IEEE Transactions on Magnetics. 37(3). 1157–1167. 13 indexed citations
17.
Moon, Jaekyun. (2000). Signal-to-noise ratio definition for magnetic recording channels with transition noise. IEEE Transactions on Magnetics. 36(5). 3881–3883. 33 indexed citations
18.
Moon, Jaekyun, et al.. (1997). Data storage channel equalization using neural networks. IEEE Transactions on Neural Networks. 8(5). 1037–1048. 27 indexed citations
19.
Moon, Jaekyun & L.R. Carley. (1994). Efficient sequence detection for intersymbol interference channels with run-length constraints. IEEE Transactions on Communications. 42(9). 2654–2660. 19 indexed citations
20.
Moon, Jaekyun. (1991). Discrete-time modeling of transition noise dominant channels and study of detection performance. IEEE Transactions on Magnetics. 27(6). 4573–4578. 62 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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