Sangwon Lee

518 total citations
16 papers, 258 citations indexed

About

Sangwon Lee is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Sangwon Lee has authored 16 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Sangwon Lee's work include Tactile and Sensory Interactions (6 papers), Visual perception and processing mechanisms (2 papers) and AI in Service Interactions (2 papers). Sangwon Lee is often cited by papers focused on Tactile and Sensory Interactions (6 papers), Visual perception and processing mechanisms (2 papers) and AI in Service Interactions (2 papers). Sangwon Lee collaborates with scholars based in South Korea and United States. Sangwon Lee's co-authors include Young June Sah, Jun‐Dong Cho, Jae‐Eun Shin, Sangyeon Kim, Hoo-Gon Choi, Jachoon Koo, Jae‐Do Nam, Kwangmok Jung, Hyoukryeol Choi and Sung-Il Lee and has published in prestigious journals such as Water, International Journal of Human-Computer Interaction and Journal of Information Science.

In The Last Decade

Sangwon Lee

14 papers receiving 246 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sangwon Lee South Korea 7 101 74 64 53 47 16 258
Emmanuel Johnson United States 9 66 0.7× 48 0.6× 81 1.3× 69 1.3× 32 0.7× 20 231
Norihisa Miyake Japan 8 112 1.1× 29 0.4× 88 1.4× 46 0.9× 25 0.5× 25 281
Pieter Vanneste Belgium 8 42 0.4× 52 0.7× 87 1.4× 64 1.2× 19 0.4× 12 424
Francesco Ferrari Italy 6 118 1.2× 73 1.0× 170 2.7× 27 0.5× 47 1.0× 7 283
Benedikt Leichtmann Germany 9 110 1.1× 30 0.4× 111 1.7× 24 0.5× 26 0.6× 17 255
Anja Naumann Germany 11 45 0.4× 30 0.4× 114 1.8× 92 1.7× 23 0.5× 44 309
Jochen Nelles Germany 5 47 0.5× 39 0.5× 81 1.3× 18 0.3× 26 0.6× 18 236
Hannah Pelikan Sweden 9 115 1.1× 39 0.5× 155 2.4× 64 1.2× 16 0.3× 26 275
Eleonora Mencarini Italy 9 32 0.3× 25 0.3× 45 0.7× 120 2.3× 33 0.7× 22 268
Tracy Sanders United States 10 175 1.7× 49 0.7× 336 5.3× 22 0.4× 38 0.8× 22 442

Countries citing papers authored by Sangwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sangwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwon Lee

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

All Works

16 of 16 papers shown
2.
Lee, Jae‐Joon, et al.. (2022). Urban River Dissolved Oxygen Prediction Model Using Machine Learning. Water. 14(12). 1899–1899. 17 indexed citations
3.
4.
Kim, Sangyeon & Sangwon Lee. (2020). Touch Digitality: Affordance Effects of Visual Properties on Gesture Selection. 1–8. 5 indexed citations
5.
Shin, Jae‐Eun, Jun‐Dong Cho, & Sangwon Lee. (2020). Please Touch Color: Tactile-Color Texture Design for The Visually Impaired. 1–7. 20 indexed citations
6.
Ahn, Sunyoung, Sangyeon Kim, & Sangwon Lee. (2020). Effects of Visual Cues on Distance Perception in Virtual Environments Based on Object Identification and Visually Guided Action. International Journal of Human-Computer Interaction. 37(1). 36–46. 9 indexed citations
7.
Lee, Sangwon, et al.. (2019). Perceiving a Mind in a Chatbot: Effect of Mind Perception and Social Cues on Co-presence, Closeness, and Intention to Use. International Journal of Human-Computer Interaction. 36(10). 930–940. 131 indexed citations
8.
Lee, Sangwon, et al.. (2019). Jido: A Conversational Tactile Map for Blind People. 682–684. 6 indexed citations
9.
Ha, Taehyun, Sangwon Lee, & Sangyeon Kim. (2018). Designing Explainability of an Artificial Intelligence System. 1–1. 5 indexed citations
10.
13.
Lee, Sangwon, et al.. (2012). Backward inference and pruning for RDF change detection using RDBMS. Journal of Information Science. 39(2). 238–255. 4 indexed citations
14.
Kim, Jae-Myung, et al.. (2009). BAR: bitmap-based association rule. 627–631.
15.
Lee, Sangwon, David A. Shamma, & Bruce Gooch. (2006). Detecting false captioning using common-sense reasoning. Digital Investigation. 3. 65–70. 13 indexed citations
16.
Lee, Sangwon, Kwangmok Jung, Jachoon Koo, et al.. (2004). Braille display device using soft actuator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5385. 368–368. 36 indexed citations

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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