Hee-Deok Yang

883 citations
30 papers · 554 · h-index 13

Impact in

Papers in

Hee-Deok Yang

28 papers receiving 523 citations

Peers

Hee-Deok Yang
Comparison fields: 5 of 71
  • Human-Computer Interaction 292
  • Computer Vision and Pattern Recognition 245
  • Developmental and Educational Psychology 96
  • Cognitive Neuroscience 75
  • Biomedical Engineering 146
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Jordan J. Bird United Kingdom
Zaid Omar Malaysia
Rainer Herpers Germany
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Citations per field
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Citations per year

Countries citing papers authored by Hee-Deok Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Deok Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Deok Yang. 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 Hee-Deok Yang. The network helps show where Hee-Deok Yang may publish in the future.

Co-authors

The 21 scholars most cited alongside Hee-Deok Yang, 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 Hee-Deok Yang Line = papers co-authored together Hee-Deok Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 201481
3
Three-dimensional coupled fluid-structure simulation of pericardial bioprosthetic aortic valve function.
199863
4 200743
5 201335
6 202133
7 199424
8 201022
9 202319
10 201314
11 201013
12 201113
13 202112
14 200610
15 201410
16 20069
17 20069
18 20068
19 20066
20
Automatic Spotting of Sign and Fingerspelling for Continuous Sign Language Recognition
20114

About Hee-Deok Yang

Hee-Deok Yang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Developmental and Educational Psychology and Neurology, having authored 30 papers that have together received 554 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (14 papers), Human Pose and Action Recognition (13 papers), Hearing Impairment and Communication (6 papers), Gait Recognition and Analysis (6 papers), Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (4 papers), Infrastructure Maintenance and Monitoring (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Human-Computer Interaction (292 citations), Computer Vision and Pattern Recognition (245 citations), Developmental and Educational Psychology (96 citations), Cognitive Neuroscience (75 citations) and Biomedical Engineering (146 citations). Hee-Deok Yang has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Seong–Whan Lee, Vinod B. Makhijani, Mano J. Thubrikar, Z.J. Wang, Avinash Ramyead, Stephen Perrig, Sophie Schwartz, Virginie Sterpenich, Dimitri Van De Ville and Sang‐Woong Lee. Their work appears in journals such as Applied Sciences, Sensors, Pattern Recognition, Nature Communications and Journal of Parallel and Distributed Computing.

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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