Seokhoon Yoon

1.1k total citations
73 papers, 820 citations indexed

About

Seokhoon Yoon is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seokhoon Yoon has authored 73 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seokhoon Yoon's work include Energy Efficient Wireless Sensor Networks (28 papers), Mobile Ad Hoc Networks (23 papers) and Opportunistic and Delay-Tolerant Networks (15 papers). Seokhoon Yoon is often cited by papers focused on Energy Efficient Wireless Sensor Networks (28 papers), Mobile Ad Hoc Networks (23 papers) and Opportunistic and Delay-Tolerant Networks (15 papers). Seokhoon Yoon collaborates with scholars based in South Korea, United States and Singapore. Seokhoon Yoon's co-authors include Chunming Qiao, Hoon Oh, Sunghwan Kim, Duc Van Le, William J. Welsh, Joy Ghosh, Qianni Zhang, J. G. Booth, Hung Q. Ngo and Daeyoung Kim and has published in prestigious journals such as IEEE Access, Journal of Materials Science and Sensors.

In The Last Decade

Seokhoon Yoon

66 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seokhoon Yoon South Korea 14 455 286 216 121 91 73 820
Shengming Jiang China 25 1.6k 3.4× 1.1k 3.9× 486 2.3× 142 1.2× 142 1.6× 148 2.2k
Marcos A. M. Vieira Brazil 17 991 2.2× 1.1k 3.9× 191 0.9× 114 0.9× 112 1.2× 122 1.8k
Qun Wang China 14 408 0.9× 487 1.7× 26 0.1× 79 0.7× 135 1.5× 79 866
Jenhui Chen Taiwan 22 852 1.9× 1.2k 4.0× 28 0.1× 97 0.8× 28 0.3× 135 1.8k
Andrea Abrardo Italy 20 806 1.8× 1.1k 3.9× 34 0.2× 50 0.4× 166 1.8× 99 1.4k
Ling‐Feng Shi China 18 93 0.2× 472 1.7× 67 0.3× 81 0.7× 357 3.9× 73 893
Joel M. Esposito United States 13 159 0.3× 71 0.2× 106 0.5× 180 1.5× 83 0.9× 46 560
Seokjoo Shin South Korea 16 536 1.2× 441 1.5× 65 0.3× 118 1.0× 49 0.5× 128 873
Haejoon Jung South Korea 19 588 1.3× 980 3.4× 116 0.5× 43 0.4× 469 5.2× 162 1.4k

Countries citing papers authored by Seokhoon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Seokhoon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokhoon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Seokhoon Yoon. A scholar is included among the top collaborators of Seokhoon Yoon 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 Seokhoon Yoon. Seokhoon Yoon 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.
Yoon, Seokhoon, et al.. (2025). Joint Optimization of AAV Trajectory, Task Offloading, and Resource Allocation in AAV-Aided Emergency Response Operations. IEEE Internet of Things Journal. 12(12). 21944–21959. 2 indexed citations
2.
Yoon, Seokhoon, et al.. (2024). A Deep Q-Learning Based UAV Detouring Algorithm in a Constrained Wireless Sensor Network Environment. Electronics. 14(1). 1–1. 2 indexed citations
3.
Yoon, Seokhoon, et al.. (2024). Task Offloading and Resource Allocation for Augmented Reality Applications in UAV-Based Networks Using a Dual Network Architecture. Electronics. 13(18). 3590–3590. 2 indexed citations
4.
Yoon, Seokhoon, et al.. (2023). Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning. Applied Sciences. 13(22). 12136–12136. 3 indexed citations
5.
Yoon, Seokhoon, et al.. (2023). Trajectory Clustering-Based Anomaly Detection in Indoor Human Movement. Sensors. 23(6). 3318–3318. 8 indexed citations
6.
Yoon, Seokhoon, et al.. (2023). Context-Aware Worker Recruitment for Mobile Crowd Sensing Based on Mobility Prediction. IEEE Access. 11. 92353–92364. 3 indexed citations
7.
Yoon, Seokhoon, et al.. (2022). Companion Mobility to Assist in Future Human Location Prediction. IEEE Access. 10. 68111–68125. 4 indexed citations
8.
Jang, Kwangchul, et al.. (2022). Glacial history and depositional environments in little Storfjorden and Hambergbukta of Arctic Svalbard since the younger dryas. Frontiers in Earth Science. 10. 3 indexed citations
9.
Yoon, Seokhoon, et al.. (2020). A Human Mobility Model in Shipyards. 12(4). 93–101. 1 indexed citations
10.
Yoon, Seokhoon, et al.. (2020). Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset. Sensors. 20(9). 2639–2639. 37 indexed citations
11.
Yoon, Seokhoon, et al.. (2019). A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning. Applied Sciences. 9(22). 4745–4745. 53 indexed citations
12.
Yoon, Seokhoon, et al.. (2018). Duty Cycle Scheduling considering Delay Time Constraints in Wireless Sensor Networks. The Journal of the Institute of Webcasting, Internet and Telecommunication. 18(2). 169–176.
13.
Yoon, Seokhoon, et al.. (2018). Reinforcement Learning-based Duty Cycle Interval Control in Wireless Sensor Networks. International journal of advanced smart convergence. 7(4). 19–26. 1 indexed citations
14.
Le, Duc Van, Hoon Oh, & Seokhoon Yoon. (2016). Environment Learning-Based Coverage Maximization With Connectivity Constraints in Mobile Sensor Networks. IEEE Sensors Journal. 16(10). 3958–3971. 10 indexed citations
15.
Yoon, Seokhoon, et al.. (2016). A sub-interval-based scheduling algorithm in duty-cycled wireless sensor networks. 294–296. 2 indexed citations
16.
Kim, Sunghwan, Sungoh Kwon, & Seokhoon Yoon. (2015). Concatenated codes using Reed–Muller codes and bit‐extension codes for a wiretap channel. IET Communications. 9(12). 1437–1441. 1 indexed citations
17.
Lee, Geun-Ho, Seokhoon Yoon, Nak Young Chong, & Henrik I. Christensen. (2009). A Mobile Sensor Network Forming Concentric Circles Through Local Interaction and Consensus Building. Journal of Robotics and Mechatronics. 21(4). 469–477. 4 indexed citations
18.
Yoon, Seokhoon, Duc T. Ha, Hung Q. Ngo, & Chunming Qiao. (2009). MoPADS: A Mobility Profile Aided File Downloading Service in Vehicular Networks. IEEE Transactions on Vehicular Technology. 58(9). 5235–5246. 21 indexed citations
19.
Zhang, Qianni, Seokhoon Yoon, & William J. Welsh. (2005). Improved method for predicting  -turn using support vector machine. Computer applications in the biosciences. 21(10). 2370–2374. 41 indexed citations
20.
Yoon, Seokhoon, et al.. (1997). Magnetic properties and microstructure of hot-pressed and die-upset Mischmetal-FeB-(Al)permanent magnets. Journal of Magnetism and Magnetic Materials. 176(2-3). 313–320. 24 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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