Jae Yeol Lee

61 papers receiving 1.5k citations

Hit Papers

An integrated mixed reality system for safety-aware human...2021202620222024202150100150

Peers

Jae Yeol Lee
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 743
  • Human-Computer Interaction 472
  • Industrial and Manufacturing Engineering 296
  • Control and Systems Engineering 167
  • Management of Technology and Innovation 145
Replace Chih‐Hsing Chu with:
Chih‐Hsing Chu Taiwan
Shusheng Zhang China
Thomas F. Stahovich United States
John Angelopoulos Greece
Francesco Leali Italy
Jun Gong China
Íñigo Barandiarán Spain
Anna Syberfeldt Sweden
David Beymer United States
Peter Eisert Germany
Jae Yeol Lee relative to Chih‐Hsing Chu Taiwan Chih‐Hsing Chu's profile →
Citations per field
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Chih‐Hsing Chu · 1×
Citations per year

Countries citing papers authored by Jae Yeol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae Yeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Yeol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Yeol Lee. A scholar is included among the top collaborators of Jae Yeol 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 Jae Yeol Lee. Jae Yeol 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
#WorkIndexed citations
1 0
2 2
3 10
4 6
5 14
6 4
7 3
8 110
9 68
10 98
11 44
12 10
13
Note on Tangible Augmented Reality Using RFID for Invisible and Visual Interfaces
1
14 79
15 30
16 42
17 16
18
Ubiquitous home simulation using augmented reality
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19 5
20 43

About Jae Yeol Lee

Jae Yeol Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Management Information Systems, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Augmented Reality Applications (31 papers), Interactive and Immersive Displays (24 papers) and Virtual Reality Applications and Impacts (11 papers). The work is most often cited by research in Human-Computer Interaction (472 citations), Computer Vision and Pattern Recognition (743 citations) and Industrial and Manufacturing Engineering (296 citations). Jae Yeol Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kyeong-Beom Park, Sung Ho Choi, Minseok Kim, Dong Woo Seo, Heejin Jeong, Yalda Ghasemi, Kwangsoo Kim, Sungchul Choi, Janghyeok Yoon and Hyun Kim. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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