Miyoung Shin

987 total citations
63 papers, 661 citations indexed

About

Miyoung Shin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Information Systems. According to data from OpenAlex, Miyoung Shin has authored 63 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Information Systems. Recurrent topics in Miyoung Shin's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Miyoung Shin is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Miyoung Shin collaborates with scholars based in South Korea, United States and India. Miyoung Shin's co-authors include Jaewon Lee, A. L. Goel, Hyeonjeong Lee, Robert G. Sargent, Jinwoo Kim, Hoang Pham, Amrit L. Goel, Jinwoo Kim, Hyun Kyu Song and Xuemei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Miyoung Shin

59 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miyoung Shin South Korea 14 133 132 122 119 115 63 661
Terence Hui United Kingdom 10 43 0.3× 64 0.5× 67 0.5× 26 0.2× 3 0.0× 13 576
Hanqi Zhang China 9 118 0.9× 42 0.3× 21 0.2× 10 0.1× 14 0.1× 32 658
Yongli Liu China 15 55 0.4× 248 1.9× 75 0.6× 69 0.6× 3 0.0× 71 767
Ling Zhao China 15 51 0.4× 88 0.7× 37 0.3× 27 0.2× 38 0.3× 37 543
Haza Nuzly Abdull Hamed Malaysia 12 75 0.6× 9 0.1× 209 1.7× 9 0.1× 49 0.4× 42 1.0k
Antonio Albano Italy 18 125 0.9× 24 0.2× 29 0.2× 15 0.1× 28 0.2× 57 1.3k
Lian Li China 16 28 0.2× 294 2.2× 177 1.5× 26 0.2× 2 0.0× 66 1.0k
Sultan Alfarhood Saudi Arabia 15 123 0.9× 30 0.2× 31 0.3× 34 0.3× 3 0.0× 91 743

Countries citing papers authored by Miyoung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Miyoung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyoung Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Miyoung Shin. A scholar is included among the top collaborators of Miyoung 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 Miyoung Shin. Miyoung 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.
Lee, Jaewon & Miyoung Shin. (2025). Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation. Applied Sciences. 15(10). 5535–5535. 2 indexed citations
2.
Lee, Kyeong–Hwan, Jaewon Lee, & Miyoung Shin. (2024). Lightweight beat score map method for electrocardiogram-based arrhythmia classification. Journal of Applied Biomedicine. 44(4). 844–857. 2 indexed citations
3.
Kim, Ayoung, et al.. (2024). Comprehensive insight into 3D bioprinting technology for brain tumor modeling. International Journal of Bioprinting. 0(0). 4166–4166.
4.
Lee, Jaewon & Miyoung Shin. (2024). Using beat score maps with successive segmentation for ECG classification without R-peak detection. Biomedical Signal Processing and Control. 91. 105982–105982. 7 indexed citations
5.
Lee, Jaewon, et al.. (2024). Enhancing Inter-Patient Performance for Arrhythmia Classification with Adversarial Learning Using Beat-Score Maps. Applied Sciences. 14(16). 7227–7227. 3 indexed citations
6.
Lee, Jaewon & Miyoung Shin. (2023). Method for Solving Difficulties in Rhythm Classification Caused by Few Samples and Similar Characteristics in Electrocardiograms. Bioengineering. 10(2). 196–196. 5 indexed citations
7.
Shin, Miyoung, et al.. (2023). A Knowledge Graph Embedding Approach for Polypharmacy Side Effects Prediction. Applied Sciences. 13(5). 2842–2842. 3 indexed citations
8.
Lee, Jaewon, Hyeonjeong Lee, & Miyoung Shin. (2021). Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals. Sensors. 21(7). 2381–2381. 40 indexed citations
9.
Lee, Hyeonjeong & Miyoung Shin. (2021). Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs. Sensors. 21(13). 4331–4331. 32 indexed citations
10.
Shin, Miyoung. (2020). Finding the key to solving problems in the hepatitis kingdom: A Study on the Development of Hepatitis B Vaccine by Kim Chung Young in the 1960-70s. SHILAP Revista de lepidopterología. 29(2). 537–567. 1 indexed citations
11.
Shin, Miyoung, Eun Gyeong Yang, Hyun Kyu Song, & Hyesung Jeon. (2015). Insulin activates EGFR by stimulating its interaction with IGF-1R in low-EGFR-expressing TNBC cells. BMB Reports. 48(6). 342–347. 11 indexed citations
12.
Shin, Miyoung, Kyung-Eun Lee, Eun Gyeong Yang, Hyesung Jeon, & Hyun Kyu Song. (2015). PEA‐15 facilitates EGFR dephosphorylation via ERK sequestration at increased ER–PM contacts in TNBC cells. FEBS Letters. 589(9). 1033–1039. 9 indexed citations
13.
Shin, Miyoung, et al.. (2012). A hybrid approach to gene ranking using gene relation networks derived from literature for the identification of disease gene markers. International Journal of Data Mining and Bioinformatics. 6(3). 239–239. 4 indexed citations
14.
Shin, Miyoung, et al.. (2011). A Study on the Improvement Plan of Domestic Fire Industry. Journal of Korean Institute of Fire Science and Engineering. 25(2). 60–70. 1 indexed citations
15.
Kim, Sang‐Wook & Miyoung Shin. (2008). Subsequence matching under time warping in time-series databases: Observation, optimization, and performance results. Computer Systems: Science & Engineering. 23(1). 31–42. 1 indexed citations
16.
Shin, Miyoung, et al.. (2003). Extraction of Biological Contexts and Ontological DAG Structures from Gene Groups Using GO Term Distribution. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 683–684. 1 indexed citations
17.
Lee, Kyung‐Shin, et al.. (2003). Comparative Analysis Workbench for Genetic Networks. Proceedings Genome Informatics Workshop/Genome informatics. 14. 380–381. 1 indexed citations
18.
Shin, Miyoung, et al.. (2003). Automatically Finding Good Clusters with Seed K-Means. Proceedings Genome Informatics Workshop/Genome informatics. 14. 326–327. 3 indexed citations
19.
Shin, Miyoung, Robert G. Sargent, & Amrit L. Goel. (2002). Optimization and response surfaces: Gaussian radial basis functions for simulation metamodeling. Winter Simulation Conference. 483–488. 7 indexed citations
20.
Shin, Miyoung, et al.. (2000). A Radial Basis Function Approach to Pattern Recognition and Its Applications. ETRI Journal. 22(2). 1–10. 12 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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