Hyun‐Chool Shin

1.8k total citations
87 papers, 1.3k citations indexed

About

Hyun‐Chool Shin is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Hyun‐Chool Shin has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biomedical Engineering, 27 papers in Cognitive Neuroscience and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Hyun‐Chool Shin's work include EEG and Brain-Computer Interfaces (26 papers), Non-Invasive Vital Sign Monitoring (18 papers) and Muscle activation and electromyography studies (14 papers). Hyun‐Chool Shin is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), Non-Invasive Vital Sign Monitoring (18 papers) and Muscle activation and electromyography studies (14 papers). Hyun‐Chool Shin collaborates with scholars based in South Korea, United States and Japan. Hyun‐Chool Shin's co-authors include Woo‐Jin Song, Ali H. Sayed, Nitish V. Thakor, Romergryko G. Geocadin, Xiaofeng Jia, Marc H. Schieber, Vikram Aggarwal, Soumyadipta Acharya, Soichiro Yamashita and S. W. Hwang and has published in prestigious journals such as Applied Physics Letters, Brain Research and IEEE Access.

In The Last Decade

Hyun‐Chool Shin

77 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun‐Chool Shin South Korea 18 473 466 310 261 238 87 1.3k
J.W.M. Bergmans Netherlands 30 464 1.0× 128 0.3× 917 3.0× 421 1.6× 1.1k 4.4× 185 2.9k
Young-Seok Choi South Korea 12 171 0.4× 127 0.3× 56 0.2× 200 0.8× 97 0.4× 67 530
Amir Rastegarnia Iran 19 529 1.1× 492 1.1× 65 0.2× 439 1.7× 418 1.8× 85 1.4k
Ghasem Azemi Australia 15 242 0.5× 34 0.1× 119 0.4× 354 1.4× 105 0.4× 54 749
Zhi Yang China 20 242 0.5× 69 0.1× 407 1.3× 719 2.8× 538 2.3× 90 1.8k
Beth Jelfs United Kingdom 15 127 0.3× 112 0.2× 383 1.2× 339 1.3× 78 0.3× 47 892
Harinath Garudadri United States 12 153 0.3× 111 0.2× 495 1.6× 165 0.6× 160 0.7× 77 786
Tae‐Gyu Chang South Korea 12 175 0.4× 140 0.3× 715 2.3× 438 1.7× 212 0.9× 77 1.2k
Hiroshi Tsujino Japan 23 763 1.6× 249 0.5× 116 0.4× 203 0.8× 196 0.8× 96 1.4k
Esther Rodriguez–Villegas United Kingdom 31 632 1.3× 142 0.3× 1.5k 5.0× 1.0k 3.8× 994 4.2× 158 3.4k

Countries citing papers authored by Hyun‐Chool Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hyun‐Chool Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyun‐Chool Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Chool Shin. A scholar is included among the top collaborators of Hyun‐Chool 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 Hyun‐Chool Shin. Hyun‐Chool 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.
2.
Song, Changhoon, et al.. (2024). LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation. Entropy. 26(11). 915–915. 2 indexed citations
3.
Kim, Ah Young, et al.. (2022). Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach. Journal of Medical Internet Research. 25. e34474–e34474. 41 indexed citations
4.
Shin, Hyun‐Chool, et al.. (2022). Movement Compensated Driver’s Respiratory Rate Extraction. Applied Sciences. 12(5). 2695–2695. 8 indexed citations
5.
Shin, Hyun‐Chool, et al.. (2021). In-Vehicle Passenger Detection Using FMCW Radar. 644–647. 23 indexed citations
6.
Thakor, Nitish V., et al.. (2018). Single-Finger Neural Basis Information-Based Neural Decoder for Multi-Finger Movements. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(12). 2240–2248. 1 indexed citations
7.
Yeo, In‐Seok & Hyun‐Chool Shin. (2018). Novel Korean finger language recognition using EMG and motion sensors. 837–839. 3 indexed citations
8.
Song, Woo‐Jin, et al.. (2018). EEG binarization for burst suppression segmentation. 828–830. 1 indexed citations
9.
Shin, Hyun‐Chool, et al.. (2018). Recognition of the upper structure using the RCS characteristic of the automotive radar. 949–952. 2 indexed citations
10.
Shin, Hyun‐Chool, et al.. (2018). Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E101.A(3). 590–594. 2 indexed citations
11.
Noh, Gyu‐Jeong, et al.. (2016). Spectral Gini Index for Quantifying the Depth of Consciousness. Computational Intelligence and Neuroscience. 2016. 1–12. 10 indexed citations
12.
Shin, Hyun‐Chool, et al.. (2013). Intuitive Robot Control Using Surface Emg And Accelerometer Signals. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Shin, Hyun‐Chool, et al.. (2011). Robot Navigation Control Using EMG and Acceleration Sensor. 48(4). 108–113. 2 indexed citations
14.
15.
Shin, Hyun‐Chool, et al.. (2010). Brain-Machine Interface Using P300 Brain Wave. Journal of the Institute of Electronics Engineers of Korea. 47(5). 18–23. 2 indexed citations
16.
Shin, Hyun‐Chool, et al.. (2010). Laser Speckle Imaging Using Adaptive Windowing Method. Journal of the Institute of Electronics Engineers of Korea. 47(1). 97–102. 1 indexed citations
17.
Shin, Hyun‐Chool, et al.. (2009). Classifying Finger Flexing Motions with Surface EMG Using Entropy and The Maximum Likelihood Method. Journal of the Institute of Electronics Engineers of Korea. 46(6). 38–43. 2 indexed citations
18.
Shin, Hyun‐Chool, Vikram Aggarwal, Soumyadipta Acharya, Marc H. Schieber, & Nitish V. Thakor. (2009). Neural Decoding of Finger Movements Using Skellam-Based Maximum-Likelihood Decoding. IEEE Transactions on Biomedical Engineering. 57(3). 754–760. 35 indexed citations
19.
Acharya, Soumyadipta, Vikram Aggarwal, Francesco V. Tenore, et al.. (2007). Towards a Brain-Computer Interface for Dexterous Control of a Multi-Fingered Prosthetic Hand. 85. 200–203. 17 indexed citations
20.
Shin, Hyun‐Chool, Ali H. Sayed, & Woo‐Jin Song. (2005). Mean-square performance of adaptive filters using averaging theory. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 229–234. 4 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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2026