Jung-Hyun Lee

842 total citations
57 papers, 568 citations indexed

About

Jung-Hyun Lee is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Jung-Hyun Lee has authored 57 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 11 papers in Information Systems and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Jung-Hyun Lee's work include Energy Efficient Wireless Sensor Networks (7 papers), Innovation in Digital Healthcare Systems (6 papers) and Eating Disorders and Behaviors (6 papers). Jung-Hyun Lee is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Innovation in Digital Healthcare Systems (6 papers) and Eating Disorders and Behaviors (6 papers). Jung-Hyun Lee collaborates with scholars based in South Korea, United States and Russia. Jung-Hyun Lee's co-authors include Young‐Chul Jung, Kyung Ran Kim, Jeonghun Ku, Kee Namkoong, Kyungyong Chung, Hyeongrae Lee, Sin‐Yeon Cho, Deog‐Gyu Seo, Seung-Jong Lee and Shin‐Jae Lee and has published in prestigious journals such as IEEE Access, Journal of Endodontics and Psychiatry Research.

In The Last Decade

Jung-Hyun Lee

45 papers receiving 541 citations

Peers

Jung-Hyun Lee
Comparison fields: 5 of 104
  • Clinical Psychology 200
  • Cognitive Neuroscience 106
  • Oral Surgery 99
  • Experimental and Cognitive Psychology 80
  • Computer Networks and Communications 60
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Citations per field, relative to Jung-Hyun Lee
Jung-Hyun Lee · 1×
Citations per year, relative to Jung-Hyun Lee
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Countries citing papers authored by Jung-Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung-Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Hyun Lee. A scholar is included among the top collaborators of Jung-Hyun 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 Jung-Hyun Lee. Jung-Hyun 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
# Work Indexed citations
1 0
2 0
3 1
4 3
5 10
6 2
7 83
8 6
9 2
10 1
11 84
12 62
13 0
14
Design of Intelligent Home Media Server
1
15 9
16 1
17 2
18
User Localization System for SmartHome Service
1
19
Collaborative Filtering Recommendation System Application Based on Stereotype Model.
1
20 6

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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