Younghak Shin

1.2k total citations
33 papers, 777 citations indexed

About

Younghak Shin is a scholar working on Cognitive Neuroscience, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Younghak Shin has authored 33 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Oncology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Younghak Shin's work include EEG and Brain-Computer Interfaces (10 papers), Blind Source Separation Techniques (8 papers) and Neuroscience and Neural Engineering (8 papers). Younghak Shin is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Blind Source Separation Techniques (8 papers) and Neuroscience and Neural Engineering (8 papers). Younghak Shin collaborates with scholars based in South Korea, Norway and United States. Younghak Shin's co-authors include Ilangko Balasingham, Hemin Ali Qadir, Jacob Bergsland, Lars Aabakken, Heung-No Lee, Seungchan Lee, Minkyu Ahn, Sung Chan Jun, Hohyun Cho and Anil Kumar and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Younghak Shin

29 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Younghak Shin South Korea 12 303 251 238 207 192 33 777
Bülent Yılmaz Türkiye 15 92 0.3× 227 0.9× 139 0.6× 200 1.0× 74 0.4× 71 804
Vahid Asadpour United States 11 90 0.3× 93 0.4× 96 0.4× 179 0.9× 31 0.2× 22 406
Sherin M. Youssef Egypt 12 39 0.1× 96 0.4× 135 0.6× 145 0.7× 230 1.2× 63 610
Feng Yang China 15 59 0.2× 73 0.3× 253 1.1× 75 0.4× 249 1.3× 87 796
Malaya Kumar Nath India 21 252 0.8× 534 2.1× 375 1.6× 55 0.3× 493 2.6× 67 1.3k
Jeremy Kawahara Canada 12 412 1.4× 274 1.1× 531 2.2× 324 1.6× 176 0.9× 14 1.1k
Yuqi Fang China 14 72 0.2× 224 0.9× 218 0.9× 47 0.2× 151 0.8× 44 712
Yulin Wang China 17 31 0.1× 356 1.4× 74 0.3× 118 0.6× 146 0.8× 70 814
Saeid Rashidi Iran 11 37 0.1× 31 0.1× 92 0.4× 113 0.5× 113 0.6× 58 402
Ekapol Chuangsuwanich Thailand 13 25 0.1× 73 0.3× 309 1.3× 73 0.4× 72 0.4× 58 616

Countries citing papers authored by Younghak Shin

Since Specialization
Citations

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

Fields of papers citing papers by Younghak Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younghak Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Younghak Shin. A scholar is included among the top collaborators of Younghak 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 Younghak Shin. Younghak 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, Younghak, et al.. (2024). Semantic Polyp Generation for Improving Polyp Segmentation Performance. Journal of Medical and Biological Engineering. 44(2). 280–292.
2.
Kwak, Ji-Sun, Yong Jae Lee, Younghak Shin, et al.. (2022). Characterization of rhodanine derivatives as potential disease-modifying drugs for experimental mouse osteoarthritis. Osteoarthritis and Cartilage. 30(9). 1210–1221. 4 indexed citations
3.
Shin, Younghak, et al.. (2021). Overexpression of secretory leukocyte peptidase inhibitor (SLPI) does not modulate experimental osteoarthritis but may be a biomarker for the disease. Osteoarthritis and Cartilage. 29(4). 558–567. 9 indexed citations
4.
Shin, Younghak, et al.. (2021). Deep Learning based Fish Object Detection and Tracking for Smart Aqua Farm. The Journal of the Korea Contents Association. 21(1). 552–560.
5.
Qadir, Hemin Ali, et al.. (2020). Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Analysis. 68. 101897–101897. 47 indexed citations
6.
Shin, Younghak, et al.. (2020). A role of zinc finger ccch type containing 12A (ZC3H12A) In osteoarthritis pathogenesis. Osteoarthritis and Cartilage. 28. S100–S100. 1 indexed citations
7.
Shin, Younghak, et al.. (2020). Comparison of Deep Learning based Fish Detection Performance for Real-Time Smart Fish Farming. 61–63. 3 indexed citations
8.
Kim, Won Bae, et al.. (2019). A crucial role of arginase-2 in osteoarthritis pathogenesis. Osteoarthritis and Cartilage. 27. S25–S25.
9.
Lee, Seungchan, Younghak Shin, Anil Kumar, Kiseon Kim, & Heung-No Lee. (2019). Two-Wired Active Spring-Loaded Dry Electrodes for EEG Measurements. Sensors. 19(20). 4572–4572. 12 indexed citations
10.
Shin, Younghak & Ilangko Balasingham. (2018). Automatic polyp frame screening using patch based combined feature and dictionary learning. Computerized Medical Imaging and Graphics. 69. 33–42. 25 indexed citations
11.
Shin, Younghak & Ilangko Balasingham. (2017). Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification. PubMed. 2017. 3277–3280. 83 indexed citations
12.
Shin, Younghak, et al.. (2016). EEG based image encryption via quantum walks. PubMed. 2016. 231–234. 1 indexed citations
13.
Shin, Younghak, Heung-No Lee, & Ilangko Balasingham. (2016). Fast L1-based sparse representation of EEG for motor imagery signal classification. PubMed. 19. 223–226. 3 indexed citations
14.
Won, Yoonkyung, et al.. (2015). Reciprocal activation of hypoxia-inducible factor (HIF)-2α and the zinc-ZIP8-MTF1 axis amplifies catabolic signaling in osteoarthritis. Osteoarthritis and Cartilage. 24(1). 134–145. 37 indexed citations
15.
Shin, Younghak, Seungchan Lee, Minkyu Ahn, et al.. (2015). Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications. Computers in Biology and Medicine. 66. 29–38. 28 indexed citations
16.
Shin, Younghak, et al.. (2014). The tunable application for mobile handset antenna. 1–4. 1 indexed citations
17.
Lee, Seungchan, et al.. (2013). Dry electrode design and performance evaluation for EEG based BCI systems. 52–53. 5 indexed citations
18.
Shin, Younghak, et al.. (2012). Sparse representation-based classification scheme for motor imagery-based brain–computer interface systems. Journal of Neural Engineering. 9(5). 56002–56002. 72 indexed citations
20.
Jeong, Jaeyong, et al.. (1999). Electrical characterization of ball grid array packages from S-parameter measurements below 500 MHz. IEEE Transactions on Advanced Packaging. 22(3). 343–347. 11 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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