Kae Won Choi

3.1k total citations · 1 hit paper
93 papers, 2.2k citations indexed

About

Kae Won Choi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Kae Won Choi has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 39 papers in Computer Networks and Communications and 24 papers in Aerospace Engineering. Recurrent topics in Kae Won Choi's work include Energy Harvesting in Wireless Networks (41 papers), Advanced MIMO Systems Optimization (38 papers) and Wireless Power Transfer Systems (20 papers). Kae Won Choi is often cited by papers focused on Energy Harvesting in Wireless Networks (41 papers), Advanced MIMO Systems Optimization (38 papers) and Wireless Power Transfer Systems (20 papers). Kae Won Choi collaborates with scholars based in South Korea, Canada and United States. Kae Won Choi's co-authors include Dong In Kim, Ekram Hossain, Nazmus Saquib, Arif Abdul Aziz, Nguyen Minh Tran, Wha Sook Jeon, Min Young Chung, Lorenz Ginting, Dedi Setiawan and Dong Geun Jeong and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Kae Won Choi

86 papers receiving 2.2k citations

Hit Papers

Machine Learning Techniques for Cooperative Spectrum Sens... 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks
    2013 305 citations Kae Won Choi, Nazmus Saquib et al. IEEE Journal on Selected Areas in Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kae Won Choi South Korea 28 1.7k 1.1k 398 181 166 93 2.2k
Heejung Yu South Korea 24 1.6k 0.9× 1.1k 1.0× 580 1.5× 111 0.6× 102 0.6× 144 2.3k
Pengcheng Zhu China 27 1.9k 1.1× 1.0k 1.0× 429 1.1× 199 1.1× 117 0.7× 230 2.4k
Jianmin Lu China 12 1.2k 0.7× 751 0.7× 486 1.2× 63 0.3× 90 0.5× 36 1.8k
Chung G. Kang South Korea 18 1.7k 1.0× 1.3k 1.2× 215 0.5× 62 0.3× 48 0.3× 204 2.1k
Ali A. Nasir Saudi Arabia 27 3.6k 2.1× 1.1k 1.0× 637 1.6× 56 0.3× 145 0.9× 129 3.9k
Dimitrios Koutsonikolas United States 29 2.2k 1.3× 1.7k 1.6× 426 1.1× 367 2.0× 192 1.2× 128 3.1k
Omid Abari United States 20 1.0k 0.6× 341 0.3× 235 0.6× 128 0.7× 143 0.9× 55 1.4k
Marco Mezzavilla United States 23 3.0k 1.8× 1.1k 1.0× 958 2.4× 53 0.3× 117 0.7× 75 3.6k
Kyeong Jin Kim United States 26 2.3k 1.4× 1.2k 1.1× 434 1.1× 92 0.5× 50 0.3× 152 2.6k
Fabrice Labeau Canada 20 981 0.6× 609 0.6× 155 0.4× 265 1.5× 197 1.2× 200 1.6k

Countries citing papers authored by Kae Won Choi

Since Specialization
Citations

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

Fields of papers citing papers by Kae Won Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kae Won Choi. 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 Kae Won Choi. The network helps show where Kae Won Choi may publish in the future.

Co-authorship network of co-authors of Kae Won Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Kae Won Choi. A scholar is included among the top collaborators of Kae Won Choi 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 Kae Won Choi. Kae Won Choi 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.
2.
Noh, Young-Min & Kae Won Choi. (2024). High-Precision Digital Twin Platform Based on Ray Tracing Simulation. 1464–1465. 1 indexed citations
3.
Choi, Kae Won, et al.. (2023). Model-Based Deep Reinforcement Learning Framework for Channel Access in Wireless Networks. IEEE Internet of Things Journal. 11(6). 10150–10167.
4.
Choi, Kae Won, et al.. (2023). Hierarchical Transformer for Brain Computer Interface. 1–5. 3 indexed citations
5.
Choi, Kae Won, et al.. (2023). Phase Noise Compensation Techniques for Arbitrary Reference Signal Configurations in mmWave and Sub-THz Bands. IEEE Wireless Communications Letters. 13(3). 597–601. 2 indexed citations
6.
Choi, Kae Won, et al.. (2023). Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface. IEEE Journal of Biomedical and Health Informatics. 27(11). 5459–5470. 16 indexed citations
7.
Lee, Sang Won, et al.. (2023). A Study on 3D Human Pose Estimation Using Through-Wall IR-UWB Radar and Transformer. IEEE Access. 11. 15082–15095. 13 indexed citations
8.
9.
Tran, Nguyen Minh, et al.. (2021). Multi-Device Charging RIS-Aided Wireless Power Transfer Systems. 2021 International Conference on Information and Communication Technology Convergence (ICTC). 4 indexed citations
10.
Ginting, Lorenz, Hyun Sik Yoon, Dong In Kim, & Kae Won Choi. (2020). Beam Avoidance for Human Safety in Radiative Wireless Power Transfer. IEEE Access. 8. 217510–217525. 10 indexed citations
11.
Tran, Nguyen Minh, et al.. (2020). Demo: Demonstration of Reconfigurable Metasurface for Wireless Communications. 1–2. 5 indexed citations
12.
Tran, Nguyen Minh, et al.. (2019). A Novel Coding Metasurface for Wireless Power Transfer Applications. Energies. 12(23). 4488–4488. 35 indexed citations
13.
Shah, Syed Tariq, Daniel Benevides da Costa, Kae Won Choi, & Min Young Chung. (2018). Dynamic Wireless Energy Harvesting and Optimal Distribution in Multipair DF Relay Network with Nonlinear Energy Conversion Model. Wireless Communications and Mobile Computing. 2018(1). 3 indexed citations
14.
Ahmed, Muhammad Ejaz, Dong In Kim, & Kae Won Choi. (2017). Traffic-Aware Optimal Spectral Access in Wireless Powered Cognitive Radio Networks. IEEE Transactions on Mobile Computing. 17(3). 733–745. 9 indexed citations
15.
Shah, Syed Tariq, Kae Won Choi, Syed Faraz Hasan, & Min Young Chung. (2016). Energy harvesting and information processing in two‐way multiplicative relay networks. Electronics Letters. 52(9). 751–753. 32 indexed citations
16.
Choi, Kae Won, Dong Geun Jeong, & Wha Sook Jeon. (2014). Optimal Subcarrier and Power Allocation in OFDMA Mesh Networks.. Ad Hoc & Sensor Wireless Networks. 22. 281–308.
17.
Choi, Kae Won & Zhu Han. (2014). Device-to-Device Discovery for Proximity-Based Service in LTE-Advanced System. IEEE Journal on Selected Areas in Communications. 33(1). 55–66. 65 indexed citations
18.
Choi, Kae Won, et al.. (2013). A Dynamic Time Slot Allocation Scheme for Hybrid CSMA/TDMA MAC Protocol. IEEE Wireless Communications Letters. 2(5). 535–538. 19 indexed citations
19.
Choi, Kae Won & Ekram Hossain. (2012). Estimation of Primary User Parameters in Cognitive Radio Systems via Hidden Markov Model. IEEE Transactions on Signal Processing. 61(3). 782–795. 36 indexed citations
20.

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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