Gyungin Shin

416 total citations
13 papers, 258 citations indexed

About

Gyungin Shin is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gyungin Shin has authored 13 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Astronomy and Astrophysics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gyungin Shin's work include Solar and Space Plasma Dynamics (6 papers), Solar Radiation and Photovoltaics (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Gyungin Shin is often cited by papers focused on Solar and Space Plasma Dynamics (6 papers), Solar Radiation and Photovoltaics (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Gyungin Shin collaborates with scholars based in South Korea, United Kingdom and China. Gyungin Shin's co-authors include Weidi Xie, Samuel Albanie, Yong‐Jae Moon, Eunsu Park, Daye Lim, Harim Lee, Bang Yeon Lee, Jin‐Yi Lee, Rok-Soon Kim and Tae Young Kim and has published in prestigious journals such as Nucleic Acids Research, The Astrophysical Journal and Remote Sensing.

In The Last Decade

Gyungin Shin

11 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyungin Shin South Korea 9 130 124 97 27 20 13 258
Xiantong Wang United States 6 171 1.3× 100 0.8× 27 0.3× 31 1.1× 10 0.5× 10 197
Martin Reiß Austria 13 428 3.3× 73 0.6× 25 0.3× 152 5.6× 24 1.2× 29 543
C. Verbeeck Belgium 13 381 2.9× 116 0.9× 21 0.2× 77 2.9× 14 0.7× 36 414
Jordan A. Guerra United States 9 245 1.9× 86 0.7× 22 0.2× 35 1.3× 13 0.7× 15 263
Jean Aboudarham France 12 334 2.6× 73 0.6× 9 0.1× 44 1.6× 84 4.2× 30 370
Hong Liang China 8 194 1.5× 72 0.6× 24 0.2× 44 1.6× 20 1.0× 26 321
Benjamin Mampaey Belgium 6 169 1.3× 81 0.7× 18 0.2× 27 1.0× 7 0.3× 8 179
A. Pastor Yabar Spain 9 163 1.3× 45 0.4× 21 0.2× 44 1.6× 4 0.2× 23 199
Tatiana Podladchikova Russia 13 422 3.2× 97 0.8× 18 0.2× 89 3.3× 17 0.8× 50 483

Countries citing papers authored by Gyungin Shin

Since Specialization
Citations

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

Fields of papers citing papers by Gyungin Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyungin Shin

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

All Works

13 of 13 papers shown
1.
Shin, Gyungin, Weidi Xie, & Samuel Albanie. (2023). NamedMask: Distilling Segmenters from Complementary Foundation Models. 4961–4970. 12 indexed citations
2.
Shin, Gyungin, Samuel Albanie, & Weidi Xie. (2023). Zero-shot Unsupervised Transfer Instance Segmentation. 4848–4858. 5 indexed citations
3.
Shin, Gyungin, Samuel Albanie, & Weidi Xie. (2022). Unsupervised Salient Object Detection with Spectral Cluster Voting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3970–3979. 36 indexed citations
4.
Shin, Gyungin, et al.. (2022). ReCo: Retrieve and Co-Segment for Zero-Shot Transfer. 33754–33767.
5.
Moon, Yong‐Jae, Harim Lee, Eunsu Park, et al.. (2022). Application of Deep Learning to Solar and Space Weather Data. Proceedings of the International Astronomical Union. 18(S372). 131–149. 1 indexed citations
6.
Kwon, Ryun-Young, J. A. Linker, Pete Riley, et al.. (2021). Development of a Deep Learning Model for Inversion of Rotational Coronagraphic Images Into 3D Electron Density. The Astrophysical Journal Letters. 920(2). L30–L30. 5 indexed citations
7.
Shin, Gyungin, Weidi Xie, & Samuel Albanie. (2021). All you need are a few pixels: semantic segmentation with PixelPick. 1687–1697. 24 indexed citations
8.
Shin, Gyungin, et al.. (2020). Generation of High-resolution Solar Pseudo-magnetograms from Ca ii K Images by Deep Learning. The Astrophysical Journal Letters. 895(1). L16–L16. 25 indexed citations
9.
Moon, Yong‐Jae, et al.. (2020). Forecast of Major Solar X-Ray Flare Flux Profiles Using Novel Deep Learning Models. The Astrophysical Journal Letters. 890(1). L5–L5. 15 indexed citations
10.
Park, Eunsu, Yong‐Jae Moon, Jin‐Yi Lee, et al.. (2019). Generation of Solar UV and EUV Images from SDO/HMI Magnetograms by Deep Learning. The Astrophysical Journal Letters. 884(1). L23–L23. 33 indexed citations
11.
Kim, Kimoon, Yong‐Jae Moon, Eunsu Park, et al.. (2019). Nighttime Reflectance Generation in the Visible Band of Satellites. Remote Sensing. 11(18). 2087–2087. 25 indexed citations
12.
Park, Eunsu, et al.. (2018). Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms. The Astrophysical Journal. 869(2). 91–91. 68 indexed citations
13.
Lee, Bang Yeon & Gyungin Shin. (2008). CleanEST: a database of cleansed EST libraries. Nucleic Acids Research. 37(Database). D686–D689. 9 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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