Young-Sik Shin

50 total papers · 1.1k total citations
32 papers, 749 citations indexed

About

Young-Sik Shin is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Young-Sik Shin has authored 32 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Young-Sik Shin's work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (6 papers) and Underwater Vehicles and Communication Systems (5 papers). Young-Sik Shin is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (6 papers) and Underwater Vehicles and Communication Systems (5 papers). Young-Sik Shin collaborates with scholars based in South Korea, Japan and India. Young-Sik Shin's co-authors include Ayoung Kim, Yeong Sang Park, Younggun Cho, Jin‐Yong Jeong, Gaurav Pandey, Joo-Wan Kim, Hyun Myung, Yeongjun Lee, Hyun‐Taek Choi and Tae–Kyeong Yeu and has published in prestigious journals such as Nature Communications, Physical Chemistry Chemical Physics and RSC Advances.

In The Last Decade

Young-Sik Shin

26 papers receiving 725 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Young-Sik Shin 533 444 170 163 121 32 749
Ji Zhang 503 0.9× 310 0.7× 148 0.9× 146 0.9× 88 0.7× 23 641
Li Tang 386 0.7× 431 1.0× 121 0.7× 112 0.7× 136 1.1× 44 808
Hyungtae Lim 548 1.0× 358 0.8× 246 1.4× 98 0.6× 266 2.2× 33 756
Huan Yin 478 0.9× 321 0.7× 172 1.0× 199 1.2× 157 1.3× 41 638
Milad Ramezani 480 0.9× 278 0.6× 201 1.2× 259 1.6× 148 1.2× 26 705
Renaud Dubé 464 0.9× 383 0.9× 120 0.7× 114 0.7× 108 0.9× 20 667
Muhamad Risqi U. Saputra 515 1.0× 522 1.2× 127 0.7× 161 1.0× 49 0.4× 25 786
Atsuhiko Banno 443 0.8× 386 0.9× 249 1.5× 83 0.5× 190 1.6× 43 703
Woosik Lee 717 1.3× 411 0.9× 271 1.6× 252 1.5× 62 0.5× 14 787
Narunas Vaškevičius 711 1.3× 548 1.2× 349 2.1× 102 0.6× 210 1.7× 44 903

Countries citing papers authored by Young-Sik Shin

Since Specialization
Citations

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

Fields of papers citing papers by Young-Sik Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Sik Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Sik Shin. A scholar is included among the top collaborators of Young-Sik 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 Young-Sik Shin. Young-Sik Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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