Yo–Seb Jeon

1.0k total citations
59 papers, 657 citations indexed

About

Yo–Seb Jeon is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yo–Seb Jeon has authored 59 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Yo–Seb Jeon's work include Advanced MIMO Systems Optimization (34 papers), Advanced Wireless Communication Techniques (23 papers) and Cooperative Communication and Network Coding (9 papers). Yo–Seb Jeon is often cited by papers focused on Advanced MIMO Systems Optimization (34 papers), Advanced Wireless Communication Techniques (23 papers) and Cooperative Communication and Network Coding (9 papers). Yo–Seb Jeon collaborates with scholars based in South Korea, United States and China. Yo–Seb Jeon's co-authors include Namyoon Lee, H. Vincent Poor, Song‐Nam Hong, Song-Nam Hong, Robert W. Heath, Mohammad Mohammadi Amiri, Jun Li, Gi-Hong Im, Soohee Han and Walid Saad and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Yo–Seb Jeon

54 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yo–Seb Jeon South Korea	14	503	216	192	81	78	59	657
Hanxiao Yu China	11	532 1.1×	144 0.7×	113 0.6×	271 3.3×	27 0.3×	27	685
Su Min Kim South Korea	13	495 1.0×	400 1.9×	50 0.3×	46 0.6×	81 1.0×	75	633
Peihao Dong China	13	707 1.4×	165 0.8×	163 0.8×	287 3.5×	22 0.3×	31	820
Hao-Hsuan Chang United States	8	340 0.7×	216 1.0×	156 0.8×	50 0.6×	11 0.1×	17	443
Suneel Yadav India	15	666 1.3×	365 1.7×	48 0.3×	192 2.4×	30 0.4×	91	758
Tiến Hoa Nguyễn Vietnam	11	463 0.9×	198 0.9×	88 0.5×	107 1.3×	16 0.2×	71	573
Rubayet Shafin United States	10	461 0.9×	157 0.7×	92 0.5×	178 2.2×	12 0.2×	23	580
Jiang Xue United Kingdom	14	454 0.9×	250 1.2×	88 0.5×	100 1.2×	14 0.2×	56	550
Chang-Jae Chun South Korea	12	491 1.0×	104 0.5×	192 1.0×	125 1.5×	16 0.2×	25	565
Thai-Hoc Vu South Korea	17	699 1.4×	198 0.9×	49 0.3×	230 2.8×	34 0.4×	55	815

Countries citing papers authored by Yo–Seb Jeon

Since Specialization

Citations

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

Fields of papers citing papers by Yo–Seb Jeon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yo–Seb Jeon. 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 Yo–Seb Jeon. The network helps show where Yo–Seb Jeon may publish in the future.

Co-authorship network of co-authors of Yo–Seb Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Yo–Seb Jeon. A scholar is included among the top collaborators of Yo–Seb Jeon 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 Yo–Seb Jeon. Yo–Seb Jeon 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

Kim, Yongjune, et al.. (2025). Vision Transformer-Based Semantic Communications With Importance-Aware Quantization. IEEE Internet of Things Journal. 12(17). 35662–35677.

Jeon, Yo–Seb, et al.. (2025). End-to-end training and adaptive transmission for OFDM-based semantic communication. ICT Express. 11(5). 919–924.

Jeon, Yo–Seb, et al.. (2025). Deep Learning-Based CSI Feedback for Wi-Fi Systems With Temporal Correlation. IEEE Transactions on Communications. 73(12). 14289–14303. 1 indexed citations

Park, Jinsung, et al.. (2025). Entropy-Constrained VQ-VAE for Deep-Learning-Based CSI Feedback. IEEE Transactions on Vehicular Technology. 74(6). 9870–9875. 3 indexed citations

Jeon, Yo–Seb, et al.. (2024). Communication-Efficient Federated Learning Over Capacity-Limited Wireless Networks. IEEE Transactions on Cognitive Communications and Networking. 11(1). 621–637. 4 indexed citations

Kang, Yujin, et al.. (2024). Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems. IEEE Wireless Communications Letters. 13(9). 2382–2386. 9 indexed citations

Wei, Kang, Jun Li, Ming Ding, et al.. (2023). Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. IEEE Transactions on Dependable and Secure Computing. 21(3). 1196–1209. 11 indexed citations

Jeon, Yo–Seb, et al.. (2023). FedVQCS: Federated Learning via Vector Quantized Compressed Sensing. IEEE Transactions on Wireless Communications. 23(3). 1755–1770. 16 indexed citations

Kim, Tae-Kyoung, et al.. (2022). Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning. IEEE Transactions on Wireless Communications. 22(7). 4565–4579. 9 indexed citations

10.

Kim, Tae-Kyoung, et al.. (2022). Performance Bound for MIMO Systems Using One-Bit ADCs Over Rayleigh Fading Channels. IEEE Transactions on Vehicular Technology. 71(8). 9067–9072. 3 indexed citations

11.

Jeon, Yo–Seb, Mohammad Mohammadi Amiri, & Namyoon Lee. (2022). Communication-Efficient Federated Learning Over MIMO Multiple Access Channels. IEEE Transactions on Communications. 70(10). 6547–6562. 16 indexed citations

12.

Park, Jinsung, Namyoon Lee, Song‐Nam Hong, & Yo–Seb Jeon. (2022). Learning From Noisy Labels for MIMO Detection With One-Bit ADCs. IEEE Wireless Communications Letters. 12(3). 456–460. 3 indexed citations

13.

Lee, Namyoon, et al.. (2021). Quantized Compressed Sensing for Communication-Efficient Federated Learning. 1–6. 2 indexed citations

14.

Jeon, Yo–Seb, Namyoon Lee, & H. Vincent Poor. (2019). Robust Data Detection for MIMO Systems With One-Bit ADCs: A Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 19(3). 1663–1676. 49 indexed citations

15.

Jeon, Yo–Seb, et al.. (2018). Large System Analysis of Two-Stage Beamforming With Limited Feedback in FDD Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 67(6). 4984–4997. 9 indexed citations

16.

Jeon, Yo–Seb, Song-Nam Hong, & Namyoon Lee. (2018). Supervised-Learning-Aided Communication Framework for MIMO Systems With Low-Resolution ADCs. IEEE Transactions on Vehicular Technology. 67(8). 7299–7313. 62 indexed citations

17.

Jeon, Yo–Seb, Song‐Nam Hong, & Namyoon Lee. (2017). Blind detection for MIMO systems with low-resolution ADCs using supervised learning. 1–6. 41 indexed citations

18.

Jeon, Yo–Seb, Namyoon Lee, & Ravi Tandon. (2017). Degrees of Freedom and Achievable Rate of Wide-Band Multi-Cell Multiple Access Channels With No CSIT. IEEE Transactions on Communications. 66(4). 1772–1786. 4 indexed citations

19.

Hong, Song-Nam, Yo–Seb Jeon, & Namyoon Lee. (2017). Distributed Uplink Reception in Cloud Radio Access Networks: A Linear Coding Approach. IEEE Transactions on Vehicular Technology. 67(2). 1470–1481. 2 indexed citations

20.

Jeon, Yo–Seb, et al.. (2016). Time-Domain Differential Feedback for Massive MISO-OFDM Systems in Correlated Channels. IEEE Transactions on Communications. 64(2). 630–642. 14 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