Young Yoon

1.0k total citations
56 papers, 664 citations indexed

About

Young Yoon is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Young Yoon has authored 56 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Young Yoon's work include Peer-to-Peer Network Technologies (8 papers), Network Security and Intrusion Detection (5 papers) and Traffic Prediction and Management Techniques (5 papers). Young Yoon is often cited by papers focused on Peer-to-Peer Network Technologies (8 papers), Network Security and Intrusion Detection (5 papers) and Traffic Prediction and Management Techniques (5 papers). Young Yoon collaborates with scholars based in South Korea, Canada and United States. Young Yoon's co-authors include Hyeun Jun Moon, George Swales, Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi, Jungmin Son, Xiaohui Ji, Hans‐Arno Jacobsen, Heesu Hwang and Jin‐Ha Hwang and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Young Yoon

54 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Yoon South Korea 14 194 159 121 119 99 56 664
Aseel Hussien United Arab Emirates 17 380 2.0× 209 1.3× 73 0.6× 128 1.1× 128 1.3× 46 954
Do Hyeun Kim South Korea 15 109 0.6× 131 0.8× 93 0.8× 159 1.3× 88 0.9× 47 572
Mohamed Tabaa Morocco 14 230 1.2× 89 0.6× 119 1.0× 354 3.0× 65 0.7× 89 945
He Wu China 7 51 0.3× 249 1.6× 80 0.7× 239 2.0× 117 1.2× 30 722
M. Victoria Moreno Spain 16 195 1.0× 337 2.1× 129 1.1× 372 3.1× 157 1.6× 35 946
Dragan Cvetković Serbia 14 250 1.3× 40 0.3× 91 0.8× 162 1.4× 47 0.5× 49 735
Hyuncheol Seo South Korea 14 218 1.1× 244 1.5× 125 1.0× 180 1.5× 152 1.5× 30 887
Ahmed Saeed AlGhamdi Saudi Arabia 16 48 0.2× 165 1.0× 154 1.3× 290 2.4× 127 1.3× 49 888

Countries citing papers authored by Young Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Young Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Young Yoon. A scholar is included among the top collaborators of Young 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 Young Yoon. Young 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, Young, et al.. (2025). An integrative approach to generating explainable safety assessment scenarios for autonomous vehicles based on Vision Transformer and SHAP. Accident Analysis & Prevention. 211. 107902–107902. 1 indexed citations
2.
Kim, Y., et al.. (2025). Payload-Aware Intrusion Detection with CMAE and Large Language Models. ACM Transactions on Privacy and Security. 29(1). 1–30. 1 indexed citations
3.
Yoon, Young, et al.. (2024). Speed prediction and nearby road impact analysis using machine learning and ensemble of explainable AI techniques. Scientific Reports. 14(1). 25208–25208. 4 indexed citations
4.
5.
Yoon, Young, et al.. (2024). Self-sovereign and Secure Data Sharing Through Docker Containers for Machine Learning on Remote Node. Journal of Web Engineering. 637–656.
6.
Kim, Hyeonmin & Young Yoon. (2023). An Ensemble of Text Convolutional Neural Networks and Multi-Head Attention Layers for Classifying Threats in Network Packets. Electronics. 12(20). 4253–4253. 3 indexed citations
7.
Yoon, Young, et al.. (2023). Critical voxel learning with vision transformer and derivation of logical AV safety assessment scenarios. Accident Analysis & Prevention. 195. 107422–107422. 8 indexed citations
8.
Yoon, Young, Yerin Lee, Sun Ho Kim, Jeong Won Kim, & Hyeun Jun Moon. (2021). A non-intrusive data-driven model for detailed occupants’ activities classification in residential buildings using environmental and energy usage data. Energy and Buildings. 256. 111699–111699. 24 indexed citations
9.
Hwang, Heesu, Junsung Ahn, Jaehwan Kim, et al.. (2021). Deep learning-assisted microstructural analysis of Ni/YSZ anode composites for solid oxide fuel cells. Materials Characterization. 172. 110906–110906. 21 indexed citations
10.
Kim, Dong Hyun, et al.. (2019). Prediction of Traffic Congestion in Seoul by Deep Neural Network. The Journal of The Korea Institute of Intelligent Transport Systems. 18(4). 44–57. 6 indexed citations
11.
Yoon, Young & Hyeun Jun Moon. (2019). Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling. Energy and Buildings. 203. 109420–109420. 60 indexed citations
12.
13.
Yoon, Young, et al.. (2019). Analyzing Basketball Movements and Pass Relationships Using Realtime Object Tracking Techniques Based on Deep Learning. IEEE Access. 7. 56564–56576. 49 indexed citations
14.
Yoon, Young, et al.. (2018). Abnormal network flow detection based on application execution patterns from Web of Things (WoT) platforms. PLoS ONE. 13(1). e0191083–e0191083. 5 indexed citations
15.
Yoon, Young. (2017). Per-service supervised learning for identifying desired WoT apps from user requests in natural language. PLoS ONE. 12(11). e0187955–e0187955. 4 indexed citations
16.
Yoon, Young, et al.. (2017). Multilateral Context Analysis based on the Novel Visualization of Network Tomography. 343–344. 1 indexed citations
17.
Yoon, Young, et al.. (2016). Secret Forwarding of Events over Distributed Publish/Subscribe Overlay Network. PLoS ONE. 11(7). e0158516–e0158516. 4 indexed citations
18.
Yoon, Young. (2016). Performance analysis of CRF-based learning for processing WoT application requests expressed in natural language. SpringerPlus. 5(1). 1324–1324. 2 indexed citations
19.
Yoon, Young, et al.. (2016). Planning the transformation of overlays. 500–507. 1 indexed citations
20.
Son, Jungmin, Amir Vahid Dastjerdi, Rodrigo N. Calheiros, et al.. (2015). CloudSimSDN: Modeling and Simulation of Software-Defined Cloud Data Centers. 475–484. 94 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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