Seong-Yoon Shin

468 total citations
72 papers, 172 citations indexed

About

Seong-Yoon Shin is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Seong-Yoon Shin has authored 72 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Seong-Yoon Shin's work include Innovation in Digital Healthcare Systems (8 papers), Video Analysis and Summarization (7 papers) and Technology and Data Analysis (7 papers). Seong-Yoon Shin is often cited by papers focused on Innovation in Digital Healthcare Systems (8 papers), Video Analysis and Summarization (7 papers) and Technology and Data Analysis (7 papers). Seong-Yoon Shin collaborates with scholars based in South Korea, China and Malaysia. Seong-Yoon Shin's co-authors include Jong-Chan Kim, Guangxing Wang, Sangwon Lee, Ki‐Hong Park, Sangwon Lee, Sangwon Lee, Zheyu Zhang, Hyunae Lee, Kangho Lee and Sun Kwang Kim and has published in prestigious journals such as Applied Sciences, Experimental & Molecular Medicine and International Journal of Electrical and Computer Engineering (IJECE).

In The Last Decade

Seong-Yoon Shin

43 papers receiving 141 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong-Yoon Shin South Korea 6 29 28 20 18 15 72 172
Maryam Ashoori United States 10 52 1.8× 16 0.6× 18 0.9× 26 1.4× 11 0.7× 23 216
Fairuz Iqbal Maulana Indonesia 8 37 1.3× 36 1.3× 64 3.2× 13 0.7× 17 1.1× 98 232
Joselin Garcí­a-Ortiz Ecuador 9 55 1.9× 18 0.6× 40 2.0× 11 0.6× 11 0.7× 26 188
Άννα Μάστορα Greece 4 19 0.7× 17 0.6× 52 2.6× 11 0.6× 11 0.7× 8 128
Tawfeeq Alsanoosy Australia 7 51 1.8× 18 0.6× 94 4.7× 19 1.1× 18 1.2× 19 209
Marc Jansen Germany 7 27 0.9× 28 1.0× 72 3.6× 14 0.8× 14 0.9× 48 186
Janusz Sobecki Poland 9 60 2.1× 24 0.9× 59 3.0× 26 1.4× 21 1.4× 38 171
Hafizul Fahri Hanafi Malaysia 8 25 0.9× 47 1.7× 81 4.0× 27 1.5× 6 0.4× 42 187
Erbuğ Çelebi Cyprus 9 70 2.4× 82 2.9× 45 2.3× 7 0.4× 16 1.1× 24 283
Yunifa Miftachul Arif Indonesia 10 52 1.8× 17 0.6× 103 5.2× 17 0.9× 65 4.3× 54 232

Countries citing papers authored by Seong-Yoon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Seong-Yoon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong-Yoon Shin. 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 Seong-Yoon Shin. The network helps show where Seong-Yoon Shin may publish in the future.

Co-authorship network of co-authors of Seong-Yoon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Seong-Yoon Shin. A scholar is included among the top collaborators of Seong-Yoon Shin 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 Seong-Yoon Shin. Seong-Yoon Shin 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.
Shin, Seong-Yoon, et al.. (2024). Designing Personalized Learning Paths for Foreign Language Acquisition Using Big Data: Theoretical and Empirical Analysis. Applied Sciences. 14(20). 9506–9506. 3 indexed citations
2.
Lee, Keun Young, et al.. (2024). Prediction of Closed Quotient During Vocal Phonation using GRU-type Neural Network with Audio Signals. Journal of information and communication convergence engineering. 22(2). 145–152.
3.
Dong, Xiwei, et al.. (2024). CGADNet: A Lightweight, Real-Time, and Robust Crosswalk and Guide Arrow Detection Network for Complex Scenes. Applied Sciences. 14(20). 9445–9445. 1 indexed citations
5.
Shin, Seong-Yoon, et al.. (2023). A Novel Method for Fashion Clothing Image Classification Based on Deep Learning. Journal of Information and Communication Technology. 22(1). 127–148. 10 indexed citations
6.
Zhang, Yue, et al.. (2023). A Self-Adaptive Approximated-Gradient-Simulation Method for Black-Box Adversarial Sample Generation. Applied Sciences. 13(3). 1298–1298. 1 indexed citations
7.
Shin, Seong-Yoon, et al.. (2022). ResNet-Based Simulations for a Heat-Transfer Model Involving an Imperfect Contact. Journal of information and communication convergence engineering. 20(4). 303–308. 1 indexed citations
8.
Shin, Seong-Yoon, et al.. (2022). Multi-Population Differential Evolution Algorithm with Uniform Local Search. Applied Sciences. 12(16). 8087–8087. 4 indexed citations
9.
Shin, Seong-Yoon, et al.. (2020). Measurement and Treatment of Abnormalities of Medial and Lateral Rotation of Upper Limb in Shoulder. Journal of the Korea Society of Computer and Information. 25(1). 109–115. 1 indexed citations
10.
Shin, Seong-Yoon, et al.. (2020). A Reconstruction of Classification for Iris Species Using Euclidean Distance Based on a Machine Learning. The Journal of the Korean Institute of Information and Communication Engineering. 24(2). 225–230. 3 indexed citations
11.
Shin, Seong-Yoon, et al.. (2019). A Text Sentiment Classification Method Based on LSTM-CNN. Journal of the Korea Society of Computer and Information. 24(12). 1–7. 1 indexed citations
12.
Shin, Seong-Yoon, et al.. (2019). Realistic Enhancement of 3D Expressions for Building Expressions with Hologram. The Journal of the Korean Institute of Information and Communication Engineering. 23(9). 1104–1109. 2 indexed citations
13.
Shin, Seong-Yoon, et al.. (2019). Differential Evolution with Multi-strategies based Soft Island Model. Journal of information and communication convergence engineering. 17(4). 261–266. 2 indexed citations
14.
Shin, Seong-Yoon, et al.. (2017). Text Mining and Visualization of Papers Reviews Using R Language. Journal of information and communication convergence engineering. 15(3). 170–174. 6 indexed citations
15.
Shin, Seong-Yoon, et al.. (2012). Internet Marketing Service Expansion Strategy through Focusing on One-Day Products. Journal of Digital Convergence. 10(7). 85–92. 2 indexed citations
16.
Shin, Seong-Yoon, et al.. (2010). Comparison of Common Methods from Intertwined Application in Image Processing. Journal of information and communication convergence engineering. 8(4). 405–410. 5 indexed citations
17.
Shin, Seong-Yoon, et al.. (2009). Recognition of Events by Human Motion for Context-aware Computing. Journal of the Korea Society of Computer and Information. 14(4). 47–57. 1 indexed citations
18.
Shin, Seong-Yoon, et al.. (2008). Image Recognition Using Colored-hear Transformation Based On Human Synesthesia. Journal of the Korea Society of Computer and Information. 13(2). 135–141.
19.
Shin, Seong-Yoon, et al.. (2008). Scene Change Detection with 3-Step Process. Journal of the Korea Society of Computer and Information. 13(6). 147–154.
20.
Shin, Seong-Yoon, et al.. (2006). A Scene Change Detection Scheme Using Local x^2-Test on Telematics. 1. 588–592. 3 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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