Won Joon Yun

1.2k total citations · 1 hit paper
39 papers, 742 citations indexed

About

Won Joon Yun is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Won Joon Yun has authored 39 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Won Joon Yun's work include Quantum Computing Algorithms and Architecture (10 papers), UAV Applications and Optimization (10 papers) and Quantum Information and Cryptography (7 papers). Won Joon Yun is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), UAV Applications and Optimization (10 papers) and Quantum Information and Cryptography (7 papers). Won Joon Yun collaborates with scholars based in South Korea, United States and Australia. Won Joon Yun's co-authors include Joongheon Kim, Soyi Jung, Jae‐Hyun Kim, MyungJae Shin, Soohyun Park, Jihong Park, Aziz Mohaisen, Joongheon Kim, Young‐Chai Ko and Byungju Lim and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Won Joon Yun

38 papers receiving 724 citations

Hit Papers

align trajectories

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.

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

2022 133 citations Won Joon Yun, Soohyun Park et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Won Joon Yun South Korea	15	329	220	195	178	136	39	742
Soyi Jung South Korea	19	409 1.2×	351 1.6×	333 1.7×	273 1.5×	145 1.1×	90	1.1k
Shengzhi Zhang China	11	271 0.8×	135 0.6×	97 0.5×	149 0.8×	86 0.6×	51	518
Klaus D. Müller-Glaser Germany	15	160 0.5×	84 0.4×	159 0.8×	247 1.4×	67 0.5×	101	684
Thomas Stifter Luxembourg	10	163 0.5×	115 0.5×	51 0.3×	96 0.5×	58 0.4×	17	604
Zuriati Ahmad Zukarnain Malaysia	19	208 0.6×	89 0.4×	869 4.5×	510 2.9×	110 0.8×	135	1.3k
Moh. Khalid Hasan South Korea	17	179 0.5×	135 0.6×	188 1.0×	808 4.5×	95 0.7×	43	1.1k
Masato Edahiro Japan	16	104 0.3×	65 0.3×	305 1.6×	466 2.6×	160 1.2×	88	933
Rajnikant Sharma United States	14	155 0.5×	359 1.6×	262 1.3×	223 1.3×	220 1.6×	69	706
Lei Du China	9	198 0.6×	33 0.1×	235 1.2×	108 0.6×	118 0.9×	31	595

Countries citing papers authored by Won Joon Yun

Since Specialization

Citations

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

Fields of papers citing papers by Won Joon Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Joon Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Won Joon Yun. A scholar is included among the top collaborators of Won Joon Yun 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 Won Joon Yun. Won Joon Yun 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

Yun, Won Joon, et al.. (2023). Quantum Multiagent Actor–Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management. IEEE Internet of Things Journal. 10(11). 9942–9952. 32 indexed citations

Choi, Minseok, et al.. (2023). Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. IEEE Transactions on Green Communications and Networking. 8(1). 103–117. 4 indexed citations

Yun, Won Joon, Soyi Jung, Mingyue Ji, et al.. (2023). SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Transactions on Networking. 31(6). 2499–2514. 18 indexed citations

Lim, Byungju, Won Joon Yun, Joongheon Kim, & Young‐Chai Ko. (2023). Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC. IEEE Transactions on Wireless Communications. 23(3). 2025–2038. 11 indexed citations

Park, Chanyoung, Won Joon Yun, Tiago Koketsu Rodrigues, et al.. (2023). Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. IEEE Internet of Things Journal. 10(22). 20033–20048. 41 indexed citations

Yun, Won Joon, MyungJae Shin, Soyi Jung, et al.. (2023). Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. Computers in Biology and Medicine. 156. 106739–106739. 10 indexed citations

Yun, Won Joon, et al.. (2023). Stereoscopic scalable quantum convolutional neural networks. Neural Networks. 165. 860–867. 18 indexed citations

Yun, Won Joon, et al.. (2023). FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16156–16157. 3 indexed citations

Park, Chanyoung, et al.. (2023). Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. 1043–1044.

10.

Yun, Won Joon, MyungJae Shin, Aziz Mohaisen, Kangwook Lee, & Joongheon Kim. (2022). Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2510–2521. 11 indexed citations

11.

Yun, Won Joon, Soohyun Park, Joongheon Kim, & Aziz Mohaisen. (2022). Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. IEEE Transactions on Intelligent Transportation Systems. 24(1). 885–890. 8 indexed citations

12.

Lim, Byungju, Won Joon Yun, Joongheon Kim, & Young‐Chai Ko. (2022). Joint Pilot Design and Channel Estimation Using Deep Residual Learning for Multi-Cell Massive MIMO Under Hardware Impairments. IEEE Transactions on Vehicular Technology. 71(7). 7599–7612. 12 indexed citations

13.

Yun, Won Joon, Soohyun Park, Joongheon Kim, et al.. (2022). Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. IEEE Transactions on Industrial Informatics. 18(10). 7086–7096. 133 indexed citations breakdown →

14.

Yun, Won Joon, et al.. (2022). Quantum distributed deep learning architectures: Models, discussions, and applications. ICT Express. 9(3). 486–491. 35 indexed citations

15.

Yun, Won Joon, Soyi Jung, Mingyue Ji, et al.. (2022). Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1729–1738. 18 indexed citations

16.

Yun, Won Joon, Byungju Lim, Soyi Jung, et al.. (2021). Attention-based reinforcement learning for real-time UAV semantic communication. University of Oulu Repository (University of Oulu). 29 indexed citations

17.

Yun, Won Joon, et al.. (2021). Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. IEEE Transactions on Vehicular Technology. 71(2). 2002–2017. 17 indexed citations

18.

Jung, Soyi, Won Joon Yun, MyungJae Shin, Joongheon Kim, & Jae‐Hyun Kim. (2021). Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. IEEE Transactions on Vehicular Technology. 70(6). 5362–5377. 73 indexed citations

19.

Yun, Won Joon, et al.. (2021). Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. 1–2. 3 indexed citations

20.

Kim, Joongheon, MyungJae Shin, Dohyun Kim, et al.. (2021). Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. 56–58. 5 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