Jun‐Pyo Hong

743 total citations
39 papers, 553 citations indexed

About

Jun‐Pyo Hong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jun‐Pyo Hong has authored 39 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Jun‐Pyo Hong's work include Advanced MIMO Systems Optimization (24 papers), Cooperative Communication and Network Coding (18 papers) and Wireless Communication Security Techniques (11 papers). Jun‐Pyo Hong is often cited by papers focused on Advanced MIMO Systems Optimization (24 papers), Cooperative Communication and Network Coding (18 papers) and Wireless Communication Security Techniques (11 papers). Jun‐Pyo Hong collaborates with scholars based in South Korea, United States and Iraq. Jun‐Pyo Hong's co-authors include Wan Choi, Kisong Lee, Bhaskar D. Rao, Hyun-Ho Choi, Tae Won Ban, Hyowoon Seo, Marco Levorato, Tony Q. S. Quek, Jaehyun Park and Seong Ho Chae and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and Sensors.

In The Last Decade

Jun‐Pyo Hong

35 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Pyo Hong South Korea 14 491 292 44 43 31 39 553
Jianjun Li China 9 374 0.8× 140 0.5× 69 1.6× 51 1.2× 19 0.6× 37 436
Bin Jiang China 13 484 1.0× 332 1.1× 26 0.6× 83 1.9× 14 0.5× 63 570
Juyul Lee South Korea 16 906 1.8× 366 1.3× 12 0.3× 118 2.7× 15 0.5× 87 966
Janne Peisa Sweden 12 602 1.2× 348 1.2× 12 0.3× 103 2.4× 45 1.5× 17 679
Sven Jacobsson Sweden 11 649 1.3× 159 0.5× 37 0.8× 102 2.4× 63 2.0× 26 692
Jianxin Dai China 11 487 1.0× 171 0.6× 7 0.2× 119 2.8× 16 0.5× 68 527
Intae Hwang South Korea 9 276 0.6× 100 0.3× 9 0.2× 67 1.6× 15 0.5× 93 329
Nam Nguyen United States 9 176 0.4× 118 0.4× 60 1.4× 20 0.5× 25 0.8× 16 291
Rundong Jia China 10 422 0.9× 73 0.3× 30 0.7× 68 1.6× 27 0.9× 20 463

Countries citing papers authored by Jun‐Pyo Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Pyo Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Pyo Hong. 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 Jun‐Pyo Hong. The network helps show where Jun‐Pyo Hong may publish in the future.

Co-authorship network of co-authors of Jun‐Pyo Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Pyo Hong. A scholar is included among the top collaborators of Jun‐Pyo Hong 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 Jun‐Pyo Hong. Jun‐Pyo Hong 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, Seongeun, Tae Yun Ko, Jun‐Pyo Hong, et al.. (2024). Diisocyanate-induced covalent cross-linking of MXene frameworks for electrically and mechanically robust EMI shielding films. Composites Part B Engineering. 287. 111847–111847. 16 indexed citations
2.
Hong, Jun‐Pyo & Hyunsoo Lee. (2024). Quantum Dense Coding Transfer Framework of Phase Damping Channel System using Weak Measurement and Correction Rotation. Journal of Korean Institute of Industrial Engineers. 50(3). 202–210.
3.
Seo, Jin-Woo, et al.. (2024). Learning-Based Geographic Routing for Delay-Limited Multihop Wireless Networks. IEEE Sensors Journal. 24(24). 42163–42171.
4.
Park, Jaehyun, et al.. (2024). Uncertainty-Aware Incremental Automatic Modulation Classification With Bayesian Neural Network. IEEE Internet of Things Journal. 11(13). 24300–24309. 3 indexed citations
5.
Hong, Jun‐Pyo, et al.. (2023). Base Station Dataset-Assisted Broadband Over-the-Air Aggregation for Communication-Efficient Federated Learning. IEEE Transactions on Wireless Communications. 22(11). 7259–7272. 6 indexed citations
6.
Hong, Jun‐Pyo, Sangjun Park, & Wan Choi. (2023). Over-the-Air Aggregation-Based Federated Learning in Cache-Enabled Wireless Edge Networks. 1994–1999. 1 indexed citations
7.
Park, Jaehyun, Jun‐Pyo Hong, Hyung-Ju Kim, & Byung Jang Jeong. (2023). Auto-Encoder Based Orthogonal Time Frequency Space Modulation and Detection With Meta-Learning. IEEE Access. 11. 43008–43018. 8 indexed citations
8.
Lee, Kisong, Jun‐Pyo Hong, & Woongsup Lee. (2021). Deep Learning Framework for Secure Communication With an Energy Harvesting Receiver. IEEE Transactions on Vehicular Technology. 70(10). 10121–10132. 10 indexed citations
9.
Chae, Seong Ho, Taehoon Kim, & Jun‐Pyo Hong. (2020). Distributed Multi-Radio Access Control for Decentralized OFDMA Multi-RAT Wireless Networks. IEEE Communications Letters. 25(4). 1303–1307. 5 indexed citations
10.
Hong, Jun‐Pyo, et al.. (2020). Spectral Efficient Resource Allocation for URLLC in Distributed Antenna Systems. IEEE Transactions on Vehicular Technology. 69(12). 15057–15067. 3 indexed citations
11.
Seo, Hyowoon, Jun‐Pyo Hong, & Wan Choi. (2019). Low Latency Random Access for Sporadic MTC Devices in Internet of Things. IEEE Internet of Things Journal. 6(3). 5108–5118. 31 indexed citations
12.
Hong, Jun‐Pyo, et al.. (2018). Opportunistic Scheduling for Average Secrecy Rate Enhancement in Fading Downlink Channel With Potential Eavesdroppers. IEEE Transactions on Information Forensics and Security. 14(4). 969–980. 18 indexed citations
13.
Lee, Kisong, Jun‐Pyo Hong, Hyun-Ho Choi, & Marco Levorato. (2018). Adaptive Wireless-Powered Relaying Schemes With Cooperative Jamming for Two-Hop Secure Communication. IEEE Internet of Things Journal. 5(4). 2793–2803. 42 indexed citations
14.
Lee, Kisong & Jun‐Pyo Hong. (2017). Power Control for Energy Efficient D2D Communication in Heterogeneous Networks With Eavesdropper. IEEE Communications Letters. 21(11). 2536–2539. 13 indexed citations
15.
Chae, Seong Ho, Jun‐Pyo Hong, & Wan Choi. (2016). Performance enhancement via RAT association control in multi-RAT cellular networks. 1–6. 1 indexed citations
16.
Hong, Jun‐Pyo. (2015). Content popularity-based caching techniques for wireless content delivery. 1300–1302. 3 indexed citations
17.
Lee, Kisong & Jun‐Pyo Hong. (2015). Energy-Efficient Resource Allocation for Simultaneous Information and Energy Transfer With Imperfect Channel Estimation. IEEE Transactions on Vehicular Technology. 65(4). 2775–2780. 37 indexed citations
18.
Hong, Jun‐Pyo, Wan Choi, & Bhaskar D. Rao. (2014). Sparsity Controlled Random Multiple Access With Compressed Sensing. IEEE Transactions on Wireless Communications. 14(2). 998–1010. 68 indexed citations
19.
Hong, Jun‐Pyo, et al.. (2013). On the Optimal Switching Probability for a Hybrid Cognitive Radio System. IEEE Transactions on Wireless Communications. 12(4). 1594–1605. 31 indexed citations
20.
Hong, Jun‐Pyo & Wan Choi. (2011). Throughput Characteristics by Multiuser Diversity in a Cognitive Radio System. IEEE Transactions on Signal Processing. 59(8). 3749–3763. 21 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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