Sukhoon Lee

562 total citations
50 papers, 362 citations indexed

About

Sukhoon Lee is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sukhoon Lee has authored 50 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Sukhoon Lee's work include Human Mobility and Location-Based Analysis (7 papers), ECG Monitoring and Analysis (6 papers) and Internet of Things and Social Network Interactions (6 papers). Sukhoon Lee is often cited by papers focused on Human Mobility and Location-Based Analysis (7 papers), ECG Monitoring and Analysis (6 papers) and Internet of Things and Social Network Interactions (6 papers). Sukhoon Lee collaborates with scholars based in South Korea, United States and China. Sukhoon Lee's co-authors include Dongwon Jeong, Dukyong Yoon, Tae Young Kim, Sung Hyon Myaeng, Noriko Kando, Kuang‐Hua Chen, Kazuaki Kishida, Hsin‐Hsi Chen, Koji Eguchi and Hong‐Seok Lim and has published in prestigious journals such as PLoS ONE, Stroke and Sensors.

In The Last Decade

Sukhoon Lee

38 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukhoon Lee South Korea 10 119 89 63 39 39 50 362
Ágnes Vathy-Fogarassy Hungary 10 77 0.6× 36 0.4× 32 0.5× 38 1.0× 37 0.9× 44 315
Florian Guitton United Kingdom 7 196 1.6× 72 0.8× 70 1.1× 50 1.3× 67 1.7× 11 479
Zhuo Zhang China 13 74 0.6× 131 1.5× 45 0.7× 67 1.7× 59 1.5× 66 695
Younghoon Kim South Korea 10 203 1.7× 99 1.1× 54 0.9× 66 1.7× 9 0.2× 31 441
William Wei Song Sweden 11 115 1.0× 94 1.1× 32 0.5× 55 1.4× 61 1.6× 49 366
Mana Saleh Al Reshan Saudi Arabia 16 226 1.9× 118 1.3× 18 0.3× 132 3.4× 26 0.7× 64 702
Atifa Athar Pakistan 12 189 1.6× 76 0.9× 15 0.2× 116 3.0× 16 0.4× 21 484
Soufiane Hamida Morocco 21 450 3.8× 70 0.8× 25 0.4× 53 1.4× 39 1.0× 66 886
Mansour Esmaeilpour Iran 9 171 1.4× 68 0.8× 14 0.2× 100 2.6× 11 0.3× 25 373
Mücahid Mustafa Sarıtaş Türkiye 4 191 1.6× 87 1.0× 10 0.2× 44 1.1× 22 0.6× 7 404

Countries citing papers authored by Sukhoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sukhoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhoon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sukhoon Lee. A scholar is included among the top collaborators of Sukhoon Lee 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 Sukhoon Lee. Sukhoon Lee 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.
Jung, Hyunjun, et al.. (2023). IoT Data Synchronization System for Implementation of Bi-directional Digital Twin in Minecraft. The Journal of Korean Institute of Information Technology. 21(3). 49–60.
2.
Jung, Hyunjun, et al.. (2022). Anomaly Detection Method of User Trajectories based on Deep Learning Technologies. The Journal of Korean Institute of Information Technology. 20(11). 101–116.
3.
Kim, Tae Young, et al.. (2021). Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records. Healthcare Informatics Research. 27(3). 182–188. 3 indexed citations
4.
Lee, Sukhoon, et al.. (2021). Sea Clutter Image Segmentation Method of High Frequency Surface Wave Radar Based on the Improved Deeplab Network. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E105.A(4). 730–733. 1 indexed citations
5.
Kim, Jee Yeon, Jaroslav Jelı́nek, Sung‐Hoon Kim, et al.. (2020). Promoter methylation changes in ALOX12 and AIRE1: novel epigenetic markers for atherosclerosis. Clinical Epigenetics. 12(1). 66–66. 23 indexed citations
6.
Jeong, Dongwon & Sukhoon Lee. (2020). Statistical Data-based Performance Analysis on Qualitative Evaluation Items of the Blockchain-based Certificate Management System. The Journal of Korean Institute of Information Technology. 18(9). 115–124. 1 indexed citations
7.
Lee, Sukhoon, et al.. (2019). Development of Lifelog Collection Interface and Visualization System for User Location Information Analysis. The Journal of Korean Institute of Information Technology. 17(7). 1–11. 1 indexed citations
8.
Lee, Sukhoon, et al.. (2019). User Similarity-based Path Prediction Method. The Journal of Korean Institute of Information Technology. 17(12). 29–38. 1 indexed citations
9.
Yoon, Dukyong, Hong‐Seok Lim, Kyoungwon Jung, Tae Young Kim, & Sukhoon Lee. (2019). Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model. Healthcare Informatics Research. 25(3). 201–201. 32 indexed citations
10.
Li, Shulin, et al.. (2018). Convolutional Neural Networks for Analyzing Unmanned Aerial Vehicles Sound. International Conference on Control, Automation and Systems. 5 indexed citations
11.
Jung, Hyunjun, Dongwon Jeong, & Sukhoon Lee. (2018). Development of Sensor Registry System-Based Predictive Information Service Using a Grid. Sensors. 18(11). 3620–3620. 2 indexed citations
12.
Jeong, Hye Seon, Jee-Yeon Kim, Seo Hyun Lee, et al.. (2017). Synergy of circulating miR-212 with markers for cardiovascular risks to enhance estimation of atherosclerosis presence. PLoS ONE. 12(5). e0177809–e0177809. 16 indexed citations
13.
Choi, Jaewon, et al.. (2017). Glasses for the Third Eye. 1–14. 23 indexed citations
14.
Kim, Young‐Gun, et al.. (2017). ECG-ViEW II, a freely accessible electrocardiogram database. PLoS ONE. 12(4). e0176222–e0176222. 20 indexed citations
15.
16.
Lee, Sukhoon, Jaeyeon Park, Tae Young Kim, et al.. (2016). Constructing a Bio-Signal Repository from an Intensive Care Unit for Effective Big-data Analysis. 372–373. 2 indexed citations
17.
Kim, Jee Yeon, Seo Hyun Lee, Hyo Jin Lee, et al.. (2015). Decreased efficacy of drugs targeting the vascular endothelial growth factor pathway by the epigenetic silencing of FLT1 in renal cancer cells. Clinical Epigenetics. 7(1). 99–99. 12 indexed citations
18.
Lee, Sukhoon, Dongwon Jeong, Doo-Kwon Baik, & Dae‐Kyoo Kim. (2015). Path Prediction Method for Effective Sensor Filtering in Sensor Registry System. International Journal of Distributed Sensor Networks. 11(7). 613473–613473. 5 indexed citations
19.
Kishida, Kazuaki, Kuang‐Hua Chen, Sukhoon Lee, et al.. (2004). Cross-lingual information retrieval (CLIR) task at the NTCIR workshop 3. ACM SIGIR Forum. 38(1). 17–20. 2 indexed citations
20.
Lee, Sukhoon, et al.. (2002). Characteristics of the Korean Test Collection for CLIR in NTCIR-3. NTCIR. 3 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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