Hee-Deok Yang

870 total citations
30 papers, 543 citations indexed

About

Hee-Deok Yang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Hee-Deok Yang has authored 30 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Human-Computer Interaction and 7 papers in Biomedical Engineering. Recurrent topics in Hee-Deok Yang's work include Hand Gesture Recognition Systems (14 papers), Human Pose and Action Recognition (13 papers) and Gait Recognition and Analysis (6 papers). Hee-Deok Yang is often cited by papers focused on Hand Gesture Recognition Systems (14 papers), Human Pose and Action Recognition (13 papers) and Gait Recognition and Analysis (6 papers). Hee-Deok Yang collaborates with scholars based in South Korea, United States and Switzerland. Hee-Deok Yang's co-authors include Seong‐Whan Lee, Mano J. Thubrikar, Vinod B. Makhijani, Z.J. Wang, Avinash Ramyead, Virginie Sterpenich, Sophie Schwartz, Stephen Perrig, Dimitri Van De Ville and Sang‐Woong Lee and has published in prestigious journals such as Nature Communications, Sensors and Pattern Recognition.

In The Last Decade

Hee-Deok Yang

27 papers receiving 512 citations

Peers

Hee-Deok Yang
Zaid Omar Malaysia
Duncan Robertson United Kingdom
Chan-Su Lee South Korea
Hee-Deok Yang
Citations per year, relative to Hee-Deok Yang Hee-Deok Yang (= 1×) peers Fabio Dominio

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-authorship network of co-authors of Hee-Deok Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Deok Yang. A scholar is included among the top collaborators of Hee-Deok Yang 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 Hee-Deok Yang. Hee-Deok Yang 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
1.
Jo, J. H., et al.. (2025). Crack Segmentation Using U-Net and Transformer Combined Model. Applied Sciences. 15(19). 10737–10737.
2.
Yang, Hee-Deok, et al.. (2024). Alzheimer progression classification using fMRI data. 13(4). 86–93. 1 indexed citations
3.
JANG, J, et al.. (2024). MSP U-Net: Crack Segmentation for Low-Resolution Images Based on Multi-Scale Parallel Attention U-Net. Applied Sciences. 14(24). 11541–11541.
4.
Yang, Hee-Deok, et al.. (2023). Classification of Alzheimer’s Progression Using fMRI Data. Sensors. 23(14). 6330–6330. 16 indexed citations
5.
Sterpenich, Virginie, Avinash Ramyead, Stephen Perrig, et al.. (2021). Reward biases spontaneous neural reactivation during sleep. Nature Communications. 12(1). 4162–4162. 33 indexed citations
7.
Yang, Hee-Deok, et al.. (2021). Restoring Raindrops Using Attentive Generative Adversarial Networks. Applied Sciences. 11(15). 7034–7034. 3 indexed citations
8.
Yang, Hee-Deok, et al.. (2021). Line Drawing Extraction from Cartoons Using a Conditional Generative Adversarial Network. Applied Sciences. 11(16). 7536–7536. 1 indexed citations
9.
Yang, Hee-Deok. (2015). Sign Language Recognition Using Kinect. 8(4). 299–303. 3 indexed citations
10.
Yang, Hee-Deok, et al.. (2013). Conditional random field-based gesture recognition with depth information. Optical Engineering. 52(1). 17201–17201. 14 indexed citations
11.
Yang, Hee-Deok, et al.. (2011). Automatic Spotting of Sign and Fingerspelling for Continuous Sign Language Recognition. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 38(2). 102–107. 4 indexed citations
13.
Yang, Hee-Deok & Seong‐Whan Lee. (2010). Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings. Pattern Recognition. 43(8). 2858–2870. 22 indexed citations
14.
Yang, Hee-Deok & Seong‐Whan Lee. (2007). Garbage Model Formulation for Sign Language Spotting with Conditional Random Fields(Internationa Session 7). 107(281). 179–185. 1 indexed citations
15.
Yang, Hee-Deok, et al.. (2007). Gesture Spotting and Recognition for Human–Robot Interaction. IEEE Transactions on Robotics. 23(2). 256–270. 109 indexed citations
16.
Yang, Hee-Deok & Seong‐Whan Lee. (2006). Automatic Physiognomic Analysis by Classifying Facial Component Feature. 26. 1212–1215. 6 indexed citations
17.
Yang, Hee-Deok, et al.. (2006). Human-Robot Interaction by Whole Body Gesture Spotting and Recognition. 774–777. 8 indexed citations
18.
Utsumi, Akira, Hee-Deok Yang, & Jun Ohya. (2002). Adaptive human motion tracking using non-synchronous multiple viewpoint observations. 4. 607–610. 3 indexed citations
19.
Makhijani, Vinod B., et al.. (1998). Three-dimensional coupled fluid-structure simulation of pericardial bioprosthetic aortic valve function.. PubMed. 43(5). M387–92. 63 indexed citations
20.
Wang, Z.J. & Hee-Deok Yang. (1994). A unified conservative zonal interface treatment for arbitrarily patched and overlapped meshes. 32nd Aerospace Sciences Meeting and Exhibit. 23 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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