Jung-Hyun Lee

662 total citations
22 papers, 494 citations indexed

About

Jung-Hyun Lee is a scholar working on Information Systems, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jung-Hyun Lee has authored 22 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Health Information Management and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jung-Hyun Lee's work include Recommender Systems and Techniques (7 papers), Innovation in Digital Healthcare Systems (6 papers) and Technology and Data Analysis (4 papers). Jung-Hyun Lee is often cited by papers focused on Recommender Systems and Techniques (7 papers), Innovation in Digital Healthcare Systems (6 papers) and Technology and Data Analysis (4 papers). Jung-Hyun Lee collaborates with scholars based in South Korea, United States and Israel. Jung-Hyun Lee's co-authors include Woonsup Shin, J.A. Halfen, Lawrence Que, Chivukula V. Sastri, Kallol Ray, Timothy A. Jackson, Jinheung Kim, Sason Shaik, Hajime Hirao and Jimin Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and IEEE Access.

In The Last Decade

Jung-Hyun Lee

18 papers receiving 482 citations

Peers

Jung-Hyun Lee
Comparison fields: 5 of 61
  • Inorganic Chemistry 364
  • Materials Chemistry 191
  • Oncology 151
  • Renewable Energy, Sustainability and the Environment 102
  • Molecular Biology 89
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Jin‐Wang Huang China View profile →
Citations per field, relative to Jung-Hyun Lee
Jung-Hyun Lee · 1×
Citations per year, relative to Jung-Hyun Lee
Jung-Hyun Lee · 1×

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 1
2 0
3 3
4 3
5 7
6 4
7 2
8 1
9 2
10 2
11 3
12 370
13 11
14 0
15 2
16 20
17
Design of Music Recommendation System Considering Context-Information in the Home Network
1
18
Comparative Evaluation of User Similarity Weight for Improving Prediction Accuracy in Personalized Recommender System
1
19 49
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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