Sang-won Leigh

432 citations
34 papers · 305 · h-index 11

Impact in

Papers in

Sang-won Leigh

32 papers receiving 299 citations

Peers

Sang-won Leigh
Comparison fields: 5 of 52
  • Human-Computer Interaction 193
  • Cognitive Neuroscience 121
  • Computer Vision and Pattern Recognition 61
  • Rehabilitation 15
  • Social Psychology 38
Replace Jaebong Lee with:
Jaebong Lee South Korea
Charith Lasantha Fernando Japan
José P. Molina Spain
Mario Covarrubias Italy
Felix Hülsmann Germany
Matthew Glisson United States
Mhd Yamen Saraiji Japan
Matthew Warburton United Kingdom
Eric J. Gonzalez United States
Sang-won Leigh relative to Jaebong Lee South Korea Jaebong Lee's profile →
Citations per field
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Jaebong Lee · 1×
Citations per year

Countries citing papers authored by Sang-won Leigh

Since Specialization
Citations

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

Fields of papers citing papers by Sang-won Leigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-won Leigh. 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 Sang-won Leigh. The network helps show where Sang-won Leigh may publish in the future.

Co-authors

The 25 scholars most cited alongside Sang-won Leigh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sang-won Leigh Line = papers co-authored together Sang-won Leigh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201635
2 201628
3 201523
4 201722
5 201820
6 202218
7 201517
8 201715
9 201512
10 202212
11 202011
12 201810
13 20159
14 20158
15
Cord UIs: Controlling Devices with Augmented Cables
20157
16 20166
17 20136
18 20175
19 20155
20 20215

About Sang-won Leigh

Sang-won Leigh is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Mechanical Engineering and Biomedical Engineering, having authored 34 papers that have together received 305 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (14 papers), Tactile and Sensory Interactions (9 papers), Augmented Reality Applications (8 papers), Innovative Human-Technology Interaction (8 papers), Modular Robots and Swarm Intelligence (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Robot Manipulation and Learning (5 papers) and Prosthetics and Rehabilitation Robotics (4 papers). The work is most often cited by research in Human-Computer Interaction (193 citations), Cognitive Neuroscience (121 citations), Computer Vision and Pattern Recognition (61 citations), Rehabilitation (15 citations) and Social Psychology (38 citations). Sang-won Leigh has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Pattie Maes, Pattie Maes, Hiroshi Ishii, Hsin-Liu Kao, Felix Heibeck, Harpreet Sareen, Yuhan Hu, Xin Liu, Pat Pataranutaporn and Asta Roseway. Their work appears in journals such as IEEE Transactions on Broadcasting, IEEE Pervasive Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Computers and ANU Open Research (Australian National University).

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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