Jaebong Lee

79 total papers · 419 total citations
24 papers, 295 citations indexed

About

Jaebong Lee is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaebong Lee has authored 24 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Human-Computer Interaction and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaebong Lee's work include Tactile and Sensory Interactions (7 papers), Interactive and Immersive Displays (5 papers) and Education and Learning Interventions (5 papers). Jaebong Lee is often cited by papers focused on Tactile and Sensory Interactions (7 papers), Interactive and Immersive Displays (5 papers) and Education and Learning Interventions (5 papers). Jaebong Lee collaborates with scholars based in South Korea and United States. Jaebong Lee's co-authors include Seungmoon Choi, Bohyung Han, Jonghyun Ryu, Eunji Cho, Yongmin Yoon, Seokhee Jeon, In Lee, Jeong-Woo Son, Doohan Kim and Young‐Woo Lee and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Open Access System for Information Sharing (Pohang University of Science and Technology) and Korean Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Jaebong Lee

18 papers receiving 277 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jaebong Lee 191 112 71 66 55 24 295
Christine Mégard 149 0.8× 140 1.3× 57 0.8× 56 0.8× 21 0.4× 18 256
Sabrina Panëels 209 1.1× 162 1.4× 67 0.9× 37 0.6× 36 0.7× 23 303
Mauricio Orozco 135 0.7× 138 1.2× 107 1.5× 54 0.8× 15 0.3× 18 302
José P. Molina 131 0.7× 152 1.4× 43 0.6× 74 1.1× 28 0.5× 45 300
Patrik Jonell 169 0.9× 179 1.6× 22 0.3× 48 0.7× 22 0.4× 17 297
Mario Covarrubias 89 0.5× 145 1.3× 55 0.8× 83 1.3× 18 0.3× 46 283
Albert De Beir 132 0.7× 73 0.7× 32 0.5× 24 0.4× 36 0.7× 27 329
Margarita Anastassova 135 0.7× 91 0.8× 27 0.4× 78 1.2× 16 0.3× 35 323
Kian Meng Yap 95 0.5× 141 1.3× 112 1.6× 39 0.6× 12 0.2× 45 337
Felix Hülsmann 101 0.5× 186 1.7× 26 0.4× 71 1.1× 19 0.3× 14 290

Countries citing papers authored by Jaebong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaebong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaebong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jaebong Lee. A scholar is included among the top collaborators of Jaebong 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 Jaebong Lee. Jaebong Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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