Chungyong Lee

1.2k total citations · 1 hit paper
127 papers, 860 citations indexed

About

Chungyong Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Chungyong Lee has authored 127 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Electrical and Electronic Engineering, 52 papers in Computer Networks and Communications and 33 papers in Aerospace Engineering. Recurrent topics in Chungyong Lee's work include Advanced MIMO Systems Optimization (48 papers), Advanced Wireless Communication Techniques (34 papers) and Wireless Communication Networks Research (25 papers). Chungyong Lee is often cited by papers focused on Advanced MIMO Systems Optimization (48 papers), Advanced Wireless Communication Techniques (34 papers) and Wireless Communication Networks Research (25 papers). Chungyong Lee collaborates with scholars based in South Korea, United States and Sweden. Chungyong Lee's co-authors include Daesik Hong, Hyung-Jong Kim, Sangwook Suh, Sanghoon Lee, Jean Kwun, Sungmook Lim, Sooyong Choi, Jang-Won Lee, Taeyoung Kim and Dae Hee Youn and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and Corrosion Science.

In The Last Decade

Chungyong Lee

109 papers receiving 826 citations

Hit Papers

Non-orthogonal Multiple Access in a Downlink Multiuser Be... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chungyong Lee South Korea 13 698 239 176 115 62 127 860
Maha Elsabrouty Egypt 13 418 0.6× 264 1.1× 95 0.5× 90 0.8× 83 1.3× 105 646
Hani Mehrpouyan United States 19 1.0k 1.5× 466 1.9× 274 1.6× 59 0.5× 74 1.2× 86 1.2k
Yunzhou Li China 18 898 1.3× 596 2.5× 125 0.7× 51 0.4× 40 0.6× 105 1.0k
Luca Reggiani Italy 12 411 0.6× 211 0.9× 125 0.7× 25 0.2× 56 0.9× 74 516
Kai Luo China 17 557 0.8× 268 1.1× 207 1.2× 54 0.5× 33 0.5× 54 737
Paulo Montezuma Portugal 15 871 1.2× 311 1.3× 139 0.8× 45 0.4× 115 1.9× 106 908
Prathapasinghe Dharmawansa Hong Kong 13 670 1.0× 429 1.8× 171 1.0× 33 0.3× 61 1.0× 47 803
Jingming Kuang China 15 749 1.1× 495 2.1× 154 0.9× 80 0.7× 111 1.8× 120 913
Faouzi Bellili Canada 15 501 0.7× 270 1.1× 124 0.7× 236 2.1× 75 1.2× 81 678

Countries citing papers authored by Chungyong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chungyong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chungyong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chungyong Lee. A scholar is included among the top collaborators of Chungyong Lee 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 Chungyong Lee. Chungyong Lee 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.
Lee, Chungyong, et al.. (2025). New View of Learning-Aided Channel Estimation for Movable Antenna Systems. IEEE Transactions on Wireless Communications. 24(7). 5694–5708. 3 indexed citations
2.
Park, Juhyun, et al.. (2025). Dynamic Hierarchical Beam Training via Gain Drop Detection for Near-Field Communications. IEEE Wireless Communications Letters. 14(9). 2927–2931.
3.
Lee, Chungyong, et al.. (2024). Neural Network-Aided Near-Field Channel Estimation for Hybrid Beamforming Systems. IEEE Transactions on Communications. 72(11). 6768–6782. 8 indexed citations
4.
Lee, Chungyong, et al.. (2024). Low-Complexity Hybrid Beamforming for Multiuser Millimeter Wave Systems With Collaborative Learning. IEEE Transactions on Wireless Communications. 23(9). 12115–12125. 1 indexed citations
5.
Lee, Chungyong, et al.. (2024). Learning-Aided Channel Estimation for Wideband mmWave MIMO Systems With Beam Squint. IEEE Transactions on Wireless Communications. 24(1). 706–720. 2 indexed citations
6.
Lee, Chungyong, et al.. (2024). DNN-Driven Single-Snapshot Near-Field Localization for Hybrid Beamforming Systems. IEEE Transactions on Vehicular Technology. 73(7). 10799–10804. 4 indexed citations
7.
Lee, Junhwan, et al.. (2024). Learning-Aided Blind Beam Adaptation for UAV Communication Systems With Jittering. IEEE Wireless Communications Letters. 13(5). 1528–1532. 3 indexed citations
8.
Lee, Chungyong, et al.. (2024). Contextual Multi-Armed Bandit-Based Link Adaptation for URLLC. IEEE Transactions on Vehicular Technology. 73(11). 17305–17315.
9.
Lee, Kyu‐Yeon, et al.. (2024). Robust Beamforming for UAV Communication With Jittering Effects. IEEE Wireless Communications Letters. 14(1). 48–52. 3 indexed citations
10.
Park, Juhyun, et al.. (2023). SE-Based User Clustering for Sum Rate Maximization in Multi-UAV NOMA Networks. 1–5. 1 indexed citations
11.
Lee, Jang-Won, et al.. (2021). RSS-Based Channel Estimation for IRS-Aided Wireless Energy Transfer System. IEEE Internet of Things Journal. 8(19). 14860–14873. 17 indexed citations
12.
Lee, Chungyong, et al.. (2020). Efficient Time Synchronization Method With Adaptive Resource Configuration for FBMC Systems. IEEE Transactions on Communications. 68(9). 5563–5574. 9 indexed citations
13.
Lee, Chungyong, et al.. (2019). An Alamouti Scheme Based on Subcarrier Alternating for MIMO FBMC-QAM System With Two Prototype Filters. IEEE Communications Letters. 23(9). 1603–1606. 2 indexed citations
14.
Lee, Chungyong, et al.. (2019). A Codeword Search Scheme for Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 68(7). 6878–6890.
15.
Lee, Sang-Geun, et al.. (2019). A Scaled Cyclic Delay Diversity Based Precoding for Coded MIMO-OFDM System. IEEE Transactions on Vehicular Technology. 68(6). 5723–5731. 2 indexed citations
16.
Lee, Chungyong, et al.. (2018). Asymptotic Analysis of Sum Rate of CL-DAS Based on Expected Large Scale Fading. IEEE Wireless Communications Letters. 8(1). 121–124.
17.
Lee, Chungyong, et al.. (2017). A MIMO Receiver With Two-Dimensional Ordering for Maximum Likelihood Detection in FBMC-QAM. IEEE Communications Letters. 21(7). 1465–1468. 13 indexed citations
18.
Kim, Taeyoung, et al.. (2017). A Beam Steering Based Hybrid Precoding for MU-MIMO mmWave Systems. IEEE Communications Letters. 21(12). 2726–2729. 18 indexed citations
19.
Lee, Kyu Ha, et al.. (2008). Linear Precoding Techniques for 2-Hop MIMO Relaying. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1761–1764. 3 indexed citations
20.
You, Heung-Ryeol, et al.. (2002). A New Method for Calibration of NLOS Error in Positioning Systems. IEICE Transactions on Communications. 85(5). 1056–1058. 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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