Junghyun Lee
- Artificial Intelligence top 10%
- Endocrinology top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Kyungyong ChungSangryeol RyuKwang-Pyo KimJeongjoon ChoiSunyoung HwangYoung Sik KimEunsang LeeJoon-Woo Lee
- Topics
- Hand Gesture Recognition Systems (5 papers)Gaze Tracking and Assistive Technology (3 papers)Robotics and Automated Systems (3 papers)
- Partner nations
- South Korea
In The Last Decade
Junghyun Lee
19 papers receiving 448 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 190
- Endocrinology 113
- Computer Vision and Pattern Recognition 97
- Information Systems 69
- Computer Networks and Communications 44
Countries citing papers authored by Junghyun Lee
This map shows the geographic impact of Junghyun 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 Junghyun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghyun Lee more than expected).
Fields of papers citing papers by Junghyun Lee
This network shows the impact of papers produced by Junghyun 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 Junghyun Lee. The network helps show where Junghyun Lee may publish in the future.
Co-authorship network of co-authors of Junghyun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Junghyun Lee. A scholar is included among the top collaborators of Junghyun 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 Junghyun Lee. Junghyun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Networkbreakdown → | 188 |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 44 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | A Study on the Countermeasure of Cyber Attacks Using Anonymous Network | 0 |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 144 | |
| 19 | Probability-annotated Ontology Model for Context Awareness in Ubiquitous Computing Environment | 1 |
| 20 | A New Collaborative Filtering Method Using Representative Attributes-neighborhood and Bayesian Estimated Value. | 1 |
About Junghyun Lee
Junghyun Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 463 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (5 papers), Gaze Tracking and Assistive Technology (3 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Endocrinology (113 citations), Health Information Management (37 citations) and Artificial Intelligence (190 citations). Junghyun Lee has collaborated with scholars based in South Korea. Frequent co-authors include Kyungyong Chung, Sangryeol Ryu, Kwang-Pyo Kim, Jeongjoon Choi, Sunyoung Hwang, Young Sik Kim, Eunsang Lee, Joon-Woo Lee, Jong‐Seon No and Jieun Eom. Their work appears in journals such as Applied and Environmental Microbiology, IEEE Access and IEEE Intelligent Systems.
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.