Yun‐Kyeong Sheen

764 total citations
18 papers, 368 citations indexed

About

Yun‐Kyeong Sheen is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun‐Kyeong Sheen has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 10 papers in Instrumentation and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun‐Kyeong Sheen's work include Galaxies: Formation, Evolution, Phenomena (17 papers), Astronomy and Astrophysical Research (10 papers) and Astrophysics and Star Formation Studies (5 papers). Yun‐Kyeong Sheen is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (17 papers), Astronomy and Astrophysical Research (10 papers) and Astrophysics and Star Formation Studies (5 papers). Yun‐Kyeong Sheen collaborates with scholars based in South Korea, Chile and Australia. Yun‐Kyeong Sheen's co-authors include Yara L. Jaffé, Graeme Candlish, Rory Smith, Bianca M. Poggianti, Marc Verheijen, Sukyoung K. Yi, Chang H. Ree, Kevin Schawinski, Joo‐Heon Yoon and Minjin Kim and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Yun‐Kyeong Sheen

16 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun‐Kyeong Sheen South Korea 10 352 192 30 21 20 18 368
J. P. Torres-Papaqui Mexico 8 348 1.0× 180 0.9× 36 1.2× 12 0.6× 17 0.8× 20 361
Moein Mosleh United States 6 330 0.9× 219 1.1× 23 0.8× 24 1.1× 17 0.8× 13 342
Mark Seibert United States 7 429 1.2× 229 1.2× 28 0.9× 13 0.6× 20 1.0× 10 436
K. Eckert United States 10 336 1.0× 201 1.0× 30 1.0× 15 0.7× 13 0.7× 16 351
C. Cortijo-Ferrero Spain 8 326 0.9× 195 1.0× 23 0.8× 17 0.8× 22 1.1× 8 333
Adrian M. Price-Whelan United States 2 359 1.0× 202 1.1× 24 0.8× 22 1.0× 17 0.8× 2 372
Jaehyun Lee South Korea 10 304 0.9× 177 0.9× 49 1.6× 17 0.8× 14 0.7× 24 319
L. Sánchez-Menguiano Spain 9 371 1.1× 167 0.9× 21 0.7× 13 0.6× 26 1.3× 19 391
Hyunjin Jeong South Korea 11 507 1.4× 273 1.4× 33 1.1× 32 1.5× 26 1.3× 32 519
Ulrike Kuchner United Kingdom 10 267 0.8× 169 0.9× 33 1.1× 13 0.6× 18 0.9× 18 277

Countries citing papers authored by Yun‐Kyeong Sheen

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Kyeong Sheen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Kyeong Sheen. 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 Yun‐Kyeong Sheen. The network helps show where Yun‐Kyeong Sheen may publish in the future.

Co-authorship network of co-authors of Yun‐Kyeong Sheen

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

All Works

18 of 18 papers shown
1.
Chung, Aeree, et al.. (2024). Discovery of a Large-scale H i Plume in the NGC 7194 Group. The Astrophysical Journal Letters. 961(1). L11–L11.
2.
Jaffé, Yara L., et al.. (2023). Pre- and post-processing of cluster galaxies out to 5 × R200: the extreme case of A2670. Monthly Notices of the Royal Astronomical Society. 528(1). 919–936. 10 indexed citations
3.
Srianand, R., P. Petitjean, Yun‐Kyeong Sheen, et al.. (2022). Multi-phase gas properties of extremely strong intervening DLAs towards quasars. Astronomy and Astrophysics. 661. A134–A134. 3 indexed citations
4.
Sheen, Yun‐Kyeong, et al.. (2022). Ram pressure stripping and ISM disc truncation: prediction versus observation. Monthly Notices of the Royal Astronomical Society. 517(2). 2912–2924. 6 indexed citations
5.
Sheen, Yun‐Kyeong, Kwang‐Il Seon, Luis C. Ho, et al.. (2022). KMTNet Nearby Galaxy Survey: Overview and Survey Description. Publications of the Astronomical Society of the Pacific. 134(1039). 94104–94104. 1 indexed citations
6.
Sheen, Yun‐Kyeong, Kwang‐Il Seon, Luis C. Ho, et al.. (2021). KMTNet Nearby Galaxy Survey. III. Deficient Hα Flux in the Extended Disks of Spiral Galaxies. The Astrophysical Journal. 918(2). 82–82. 5 indexed citations
7.
Johnston, Evelyn J., Alfonso Aragón‐Salamanca, Amelia Fraser-McKelvie, et al.. (2020). Formation of S0s in extreme environments II: The star-formation histories of bulges, discs, and lenses. Monthly Notices of the Royal Astronomical Society. 500(3). 4193–4212. 15 indexed citations
8.
Oh, Sree, Keunho Kim, Minjin Kim, et al.. (2019). Impact of galaxy mergers on the colours of cluster galaxies. Monthly Notices of the Royal Astronomical Society. 488(3). 4169–4180. 6 indexed citations
9.
Coccato, L., Yara L. Jaffé, A. Cortesi, et al.. (2019). Formation of S0s in extreme environments I: clues from kinematics and stellar populations. Monthly Notices of the Royal Astronomical Society. 492(2). 2955–2972. 26 indexed citations
10.
Oh, Sree, Keunho Kim, Yun‐Kyeong Sheen, et al.. (2018). KYDISC: Galaxy Morphology, Quenching, and Mergers in the Cluster Environment. The Astrophysical Journal Supplement Series. 237(1). 14–14. 20 indexed citations
11.
Sheen, Yun‐Kyeong, Luis C. Ho, Sang Chul Kim, et al.. (2018). KMTNet Nearby Galaxy Survey. I. Optimal Strategy for Low Surface Brightness Imaging with KMTNet. The Astronomical Journal. 156(6). 249–249. 5 indexed citations
12.
Sheen, Yun‐Kyeong, Rory Smith, Yara L. Jaffé, et al.. (2017). Discovery of Ram-pressure Stripped Gas around an Elliptical Galaxy in Abell 2670. The Astrophysical Journal Letters. 840(1). L7–L7. 25 indexed citations
13.
Sheen, Yun‐Kyeong, Sukyoung K. Yi, Chang H. Ree, et al.. (2016). RECENT GALAXY MERGERS AND RESIDUAL STAR FORMATION OF RED SEQUENCE GALAXIES IN GALAXY CLUSTERS. The Astrophysical Journal. 827(1). 32–32. 15 indexed citations
14.
Jaffé, Yara L., Rory Smith, Graeme Candlish, et al.. (2015). BUDHIES II: a phase-space view of H i gas stripping and star formation quenching in cluster galaxies. Monthly Notices of the Royal Astronomical Society. 448(2). 1715–1728. 163 indexed citations
15.
Smith, Rory, Pierre–Alain Duc, Graeme Candlish, et al.. (2013). The influence of ram pressure on the evolution of tidal dwarf galaxies. Monthly Notices of the Royal Astronomical Society. 436(1). 839–853. 19 indexed citations
16.
Yi, Sukyoung K., et al.. (2013). Merger relics of cluster galaxies. Springer Link (Chiba Institute of Technology). 9 indexed citations
17.
Yoon, Joo‐Heon, Kevin Schawinski, Yun‐Kyeong Sheen, Chang H. Ree, & Sukyoung K. Yi. (2008). A Spectrophotometric Search for Galaxy Clusters in SDSS. The Astrophysical Journal Supplement Series. 176(2). 414–423. 36 indexed citations
18.
Sheen, Yun‐Kyeong & Yong‐Ik Byun. (2004). THE NIGHT SKY SPECTRUM OF MOUNT BOHYUN. Journal of The Korean Astronomical Society. 37(2). 87–90. 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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