Sunjin Yu

575 total citations · 1 hit paper
45 papers, 341 citations indexed

About

Sunjin Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Sunjin Yu has authored 45 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 13 papers in Human-Computer Interaction and 6 papers in Control and Systems Engineering. Recurrent topics in Sunjin Yu's work include Face recognition and analysis (10 papers), Face and Expression Recognition (9 papers) and Virtual Reality Applications and Impacts (9 papers). Sunjin Yu is often cited by papers focused on Face recognition and analysis (10 papers), Face and Expression Recognition (9 papers) and Virtual Reality Applications and Impacts (9 papers). Sunjin Yu collaborates with scholars based in South Korea, United States and China. Sunjin Yu's co-authors include Sangyoun Lee, Sangheon Park, Sung-Jin Kim, Hyobin Lee, Kwangtaek Kim, Yuseok Ban, Sang‐Ha Kim, Kar‐Ann Toh, Dongchul Kim and Ig-Jae Kim and has published in prestigious journals such as Sensors, Pattern Recognition and Applied Sciences.

In The Last Decade

Sunjin Yu

29 papers receiving 320 citations

Hit Papers

Virtual Reality Metaverse System Supplementing Remote Edu... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Virtual Reality Metaverse System Supplementing Remote Education Methods: Based on Aircraft Maintenance Simulation
    2022 145 citations Sunjin Yu et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjin Yu South Korea 8 178 146 81 60 26 45 341
Chao Peng United States 12 131 0.7× 145 1.0× 68 0.8× 32 0.5× 18 0.7× 55 385
Omer Rashid United Kingdom 11 125 0.7× 124 0.8× 63 0.8× 13 0.2× 9 0.3× 26 373
Tao Ni Hong Kong 13 261 1.5× 382 2.6× 36 0.4× 48 0.8× 23 0.9× 26 611
Xiangdong Li China 10 170 1.0× 85 0.6× 28 0.3× 42 0.7× 42 1.6× 62 360
Paul Lister United Kingdom 10 295 1.7× 150 1.0× 51 0.6× 20 0.3× 13 0.5× 43 411
Igor D. D. Curcio Finland 12 297 1.7× 66 0.5× 24 0.3× 155 2.6× 8 0.3× 72 540
Raja Bose United States 12 163 0.9× 48 0.3× 55 0.7× 54 0.9× 19 0.7× 23 415
Haojian Jin United States 14 103 0.6× 126 0.9× 90 1.1× 81 1.4× 37 1.4× 29 510
Ross Bencina Spain 7 359 2.0× 408 2.8× 38 0.5× 61 1.0× 8 0.3× 9 615
Michael Zöllner Germany 8 224 1.3× 136 0.9× 33 0.4× 30 0.5× 7 0.3× 12 389

Countries citing papers authored by Sunjin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Sunjin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Sunjin Yu. A scholar is included among the top collaborators of Sunjin Yu 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 Sunjin Yu. Sunjin Yu 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.
Yu, Sunjin, et al.. (2025). Knowledge and Health Beliefs About Dementia Prevention Among Chinese Older Adults: A Qualitative Study. Qualitative Health Research. 36(4-5). 405–427.
2.
Yu, Sunjin, et al.. (2024). VR Hand Tool Accident Prevention Contents using Vive Trackers and 3D Printing. The Journal of Korean Institute of Information Technology. 22(1). 245–254.
3.
4.
Yu, Sunjin, et al.. (2024). Comparative Study of User Interface using Virtual Reality Driving Simulation. The Journal of Korean Institute of Information Technology. 22(1). 235–244.
5.
Yu, Sunjin, et al.. (2023). Roblox Graffiti Art Using Virtual Reality Devices: Reality and Spatial Presence in a Virtual Space. Applied Sciences. 13(24). 13038–13038.
6.
Yu, Sunjin, et al.. (2023). Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture. Sensors. 23(21). 8852–8852.
7.
Yu, Sunjin, et al.. (2022). VR Remote Education System using Real-Time Motion Capture. The Journal of Korean Institute of Information Technology. 20(1). 171–180.
8.
Yu, Sunjin, et al.. (2022). Mobile AR Contents Production Technique for Long Distance Collaboration. Journal of System and Management Sciences. 1 indexed citations
9.
Yu, Sunjin, et al.. (2020). Interactive Contents System Using Kinect Camera. The Journal of Korean Institute of Information Technology. 18(7). 111–119.
10.
Yu, Sunjin. (2019). Arduino based Balancing Robot. 1–2. 1 indexed citations
11.
Yu, Sunjin, et al.. (2018). Simulation of Solid Particle Sedimentation by Using Moving Particle Semi-implicit Method. Journal of the Korean Society of Marine Environment and Safety. 24(1). 119–125. 1 indexed citations
12.
Yu, Sunjin, et al.. (2018). Foot Measurement Using 3D Scanning Model. International Journal of Fuzzy Logic and Intelligent Systems. 18(3). 167–174. 4 indexed citations
13.
Yu, Sunjin, et al.. (2016). An adaptive local binary pattern for 3D hand tracking. Pattern Recognition. 61. 139–152. 20 indexed citations
14.
Yu, Sunjin, et al.. (2013). 3D Multi-Spectrum Sensor System with Face Recognition. Sensors. 13(10). 12804–12829. 7 indexed citations
15.
Yu, Sunjin, et al.. (2012). Thermal 3D modeling system based on 3-view geometry. Optics Communications. 285(24). 5019–5028. 3 indexed citations
16.
Yu, Sunjin, et al.. (2012). Fast On-Road Vehicle Detection Using Reduced Multivariate Polynomial Classifier. The Journal of Korean Institute of Communications and Information Sciences. 37(8A). 639–647. 2 indexed citations
17.
Yu, Sunjin, et al.. (2010). Thermal 3D Face Modeling System. ICEIC : International Conference on Electronics, Informations and Communications. 313–314. 1 indexed citations
18.
Yu, Sunjin. (2009). Iterative three-dimensional head pose estimation using a face normal vector. Optical Engineering. 48(3). 37204–37204. 1 indexed citations
19.
Yu, Sunjin, et al.. (2008). Pose-invariant Face Recognition. ICEIC : International Conference on Electronics, Informations and Communications. 891–894. 2 indexed citations
20.
Kim, Sang‐Ha, Hyobin Lee, Sunjin Yu, & Sangyoun Lee. (2006). Fusion of Visual and Infrared Images for Face Recognition. 2006 SICE-ICASE International Joint Conference. 3945–3949. 2 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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