Sanghyun Seo

1.6k total citations
90 papers, 991 citations indexed

About

Sanghyun Seo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, Sanghyun Seo has authored 90 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 18 papers in Computer Graphics and Computer-Aided Design and 11 papers in Aerospace Engineering. Recurrent topics in Sanghyun Seo's work include Computer Graphics and Visualization Techniques (18 papers), Advanced Vision and Imaging (18 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Sanghyun Seo is often cited by papers focused on Computer Graphics and Visualization Techniques (18 papers), Advanced Vision and Imaging (18 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Sanghyun Seo collaborates with scholars based in South Korea, Pakistan and United Kingdom. Sanghyun Seo's co-authors include Yang‐Hann Kim, Sareer Ul Amin, Adnan Hussain, D. Pavlidis, Ho‐Chang Lee, Yudong Zhang, Sajid Ali Khan, Muhammad Attique, Amjad Rehman and Muhammad Attique Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Sanghyun Seo

80 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanghyun Seo South Korea 16 408 224 149 116 99 90 991
Chyi‐Yeu Lin Taiwan 22 306 0.8× 255 1.1× 137 0.9× 224 1.9× 14 0.1× 125 1.4k
Hung-Yu Tseng Taiwan 17 823 2.0× 72 0.3× 238 1.6× 28 0.2× 169 1.7× 31 1.2k
Takeshi Naemura Japan 21 1.4k 3.4× 119 0.5× 241 1.6× 85 0.7× 221 2.2× 250 2.2k
Tao Yu China 22 1.4k 3.4× 119 0.5× 232 1.6× 59 0.5× 518 5.2× 90 2.0k
Sachin Goyal India 17 121 0.3× 125 0.6× 75 0.5× 104 0.9× 8 0.1× 99 1.0k
Suk‐Ju Kang South Korea 24 1.3k 3.1× 123 0.5× 90 0.6× 210 1.8× 33 0.3× 154 1.6k
Kosin Chamnongthai Thailand 19 798 2.0× 198 0.9× 245 1.6× 186 1.6× 5 0.1× 183 1.5k
Adrian Kaehler United States 10 463 1.1× 55 0.2× 71 0.5× 60 0.5× 9 0.1× 16 956
Franck Davoine France 17 594 1.5× 33 0.1× 190 1.3× 97 0.8× 28 0.3× 51 960

Countries citing papers authored by Sanghyun Seo

Since Specialization
Citations

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

Fields of papers citing papers by Sanghyun Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghyun Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghyun Seo. A scholar is included among the top collaborators of Sanghyun Seo 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 Sanghyun Seo. Sanghyun Seo 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.
Amin, Sareer Ul, et al.. (2025). Enhancing pine wilt disease detection with synthetic data and external attention-based transformers. Engineering Applications of Artificial Intelligence. 159. 111655–111655. 6 indexed citations
2.
Amin, Sareer Ul, et al.. (2025). A comprehensive approach for image quality assessment using quality-centric embedding and ranking networks. Pattern Recognition. 173. 112890–112890.
3.
Amin, Sareer Ul, et al.. (2024). Enhanced Anomaly Detection in Pandemic Surveillance Videos: An Attention Approach With EfficientNet-B0 and CBAM Integration. IEEE Access. 12. 162697–162712. 13 indexed citations
4.
Amin, Sareer Ul, et al.. (2024). Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules. SHILAP Revista de lepidopterología. 6(7). 43 indexed citations
5.
Amin, Sareer Ul, et al.. (2024). Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach. Computers and Electronics in Agriculture. 218. 108690–108690. 13 indexed citations
6.
Seo, Sanghyun, et al.. (2023). Transfer Learning based Parameterized 3D Mesh Deformation with 2D Stylized Cartoon Character. KSII Transactions on Internet and Information Systems. 17(11). 1 indexed citations
7.
Amin, Sareer Ul, et al.. (2023). Deep learning based active learning technique for data annotation and improve the overall performance of classification models. Expert Systems with Applications. 228. 120391–120391. 55 indexed citations
8.
Seo, Sanghyun, et al.. (2023). EfficientNetV2-based dynamic gesture recognition using transformed scalogram from triaxial acceleration signal. Journal of Computational Design and Engineering. 10(4). 1694–1706. 6 indexed citations
9.
Hussain, Adnan, Sareer Ul Amin, Muhammad Fayaz, & Sanghyun Seo. (2023). An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network. Computer Systems Science and Engineering. 46(3). 3509–3525. 23 indexed citations
10.
11.
Manimegalai, R., et al.. (2020). A Survey on Different Techniques for Biometric Template Protection. 網際網路技術學刊. 21(5). 1347–1362. 4 indexed citations
12.
Khan, Muhammad Attique, Yudong Zhang, Sajid Ali Khan, et al.. (2020). A resource conscious human action recognition framework using 26-layered deep convolutional neural network. Multimedia Tools and Applications. 80(28-29). 35827–35849. 84 indexed citations
13.
Choe, Jong‐In & Sanghyun Seo. (2020). A 3D Real Object Recognition and Localization on SLAM based Augmented Reality Environment. 745–746. 3 indexed citations
14.
Lee, Taemin & Sanghyun Seo. (2019). Painting-Emotion Matching Technology Learning System through Repetition. Sustainability. 11(16). 4507–4507. 1 indexed citations
15.
Choe, Jong‐In, et al.. (2019). Harmonic rendering for visual coherence on mobile outdoor AR environment. Multimedia Tools and Applications. 79(23-24). 16141–16154. 1 indexed citations
16.
Seo, Sanghyun, et al.. (2014). An artistic photographic collage on a mobile device. Multimedia Tools and Applications. 75(22). 14959–14970. 3 indexed citations
17.
Seo, Sanghyun, et al.. (2012). An Empirical Acoustic Impedance Model for the Design of Acoustic Resonator with Extended Neck at a High Pressure Environment. Transactions of the Korean Society for Noise and Vibration Engineering. 22(12). 1199–1205. 1 indexed citations
18.
Lee, Ho‐Chang, et al.. (2010). Directional texture transfer with edge enhancement. Computers & Graphics. 35(1). 81–91. 17 indexed citations
19.
Seo, Sanghyun. (2009). HIGH FREQUENCY MIS-BASED III-NITRIDE TRANSISTOR AND INTEGRATED BIO-SENSOR TECHNOLOGY. 1 indexed citations
20.
Seo, Sanghyun, et al.. (2006). Painterly rendering using density of edges. 12(4). 7–15. 1 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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