Youngdae Lee

519 total citations
30 papers, 184 citations indexed

About

Youngdae Lee is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Youngdae Lee has authored 30 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 8 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Youngdae Lee's work include Galaxies: Formation, Evolution, Phenomena (12 papers), Stellar, planetary, and galactic studies (8 papers) and Gamma-ray bursts and supernovae (8 papers). Youngdae Lee is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (12 papers), Stellar, planetary, and galactic studies (8 papers) and Gamma-ray bursts and supernovae (8 papers). Youngdae Lee collaborates with scholars based in South Korea, Canada and United States. Youngdae Lee's co-authors include Suk Kim, Soo‐Chang Rey, Eon‐Chang Sung, Hyunjin Jeong, Helmut Jerjen, T. Lisker, Woong Lee, Jaehyun Lee, Martin Bureau and Sang Chul 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

Youngdae Lee

27 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngdae Lee South Korea 8 152 68 19 9 8 30 184
Florian Sarron France 7 149 1.0× 99 1.5× 20 1.1× 7 0.9× 12 155
Elizabeth Eardley United Kingdom 3 117 0.8× 79 1.2× 16 0.8× 5 0.6× 3 119
Louise O. V. Edwards United States 6 116 0.8× 63 0.9× 20 1.1× 6 0.8× 11 117
Stephen K. Andrews Australia 5 96 0.6× 49 0.7× 27 1.4× 5 0.6× 5 105
S. Berta Germany 6 119 0.8× 72 1.1× 18 0.9× 5 0.6× 6 120
Abdolhosein Hashemizadeh Australia 5 89 0.6× 57 0.8× 17 0.9× 4 0.5× 5 99
E. Tundo Italy 3 105 0.7× 65 1.0× 9 0.5× 7 0.9× 3 105
Ana Matković United States 4 125 0.8× 76 1.1× 14 0.7× 5 0.6× 6 128
Jelena Krpan Croatia 2 129 0.8× 71 1.0× 15 0.8× 4 0.5× 2 132
Belén Alcalde Pampliega United States 8 148 1.0× 90 1.3× 18 0.9× 3 0.4× 13 151

Countries citing papers authored by Youngdae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngdae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngdae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youngdae Lee. A scholar is included among the top collaborators of Youngdae Lee 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 Youngdae Lee. Youngdae Lee 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.
Moon, Dae‐Sik, M. R. Drout, Youngdae Lee, et al.. (2025). Infant Type Ia Supernovae from the KMTNet. I. Multicolor Evolution and Populations. The Astrophysical Journal. 983(1). 3–3. 2 indexed citations
2.
Rey, Soo‐Chang, et al.. (2023). The Discovery of Blue-cored Dwarf Early-type Galaxies in Isolated Environments. The Astrophysical Journal. 945(2). 140–140. 2 indexed citations
3.
Moon, Dae‐Sik, Hong Soo Park, Dennis Zaritsky, et al.. (2023). Dwarf galaxy discoveries from the KMTNet supernova programme – III. The Milky-Way analogue NGC 2997 group. Monthly Notices of the Royal Astronomical Society. 525(4). 4904–4927. 5 indexed citations
4.
Kim, Suk, et al.. (2023). Similar Image Retrieval using Autoencoder. I. Automatic Morphology Classification of Galaxies. Publications of the Astronomical Society of the Pacific. 135(1050). 84101–84101. 4 indexed citations
5.
Moon, Dae‐Sik, M. R. Drout, Christopher D. Matzner, et al.. (2023). Origin of High-velocity Ejecta, Excess Emission, and Redward Color Evolution in the Infant Type Ia Supernova 2021aefx. The Astrophysical Journal. 959(2). 132–132. 7 indexed citations
6.
Lee, Youngdae, et al.. (2021). Control Technique of a Medical Bed for Ulcer Prevention Equipped with Body Pressure Sensors. The Journal of the Institute of Webcasting, Internet and Telecommunication. 21(2). 89–95. 1 indexed citations
7.
Kim, Suk, et al.. (2021). Star-forming Dwarf Galaxies in Filamentary Structures around the Virgo Cluster: Probing Chemical Pre-processing in Filament Environments. The Astrophysical Journal. 923(2). 235–235. 8 indexed citations
8.
Lee, Youngdae, et al.. (2021). The Medical Bed System for Preventing Pressure Ulcer Using the Two-Stage Control. International journal of advanced smart convergence. 10(1). 151–158. 1 indexed citations
9.
Kim, Suk, et al.. (2020). Compact Elliptical Galaxies in Different Local Environments: A Mixture of Galaxies with Different Origins?. The Astrophysical Journal. 903(1). 65–65. 13 indexed citations
10.
Lee, Youngdae, et al.. (2020). The Control System of a Robot Bed for Caring Pressure Ulcer. The International Journal of Advanced Culture Technology. 8(3). 254–259. 1 indexed citations
11.
Lee, Youngdae, et al.. (2020). Enhancement of 4 Bar Parallelogram Linkage for a Medical Bed. The journal of the convergence on culture technology. 6(1). 515–520. 1 indexed citations
12.
Lee, Youngdae, et al.. (2020). The Control System of a Medical Robot Bed for Prevention and Healing of Pressure Ulcer. The journal of the convergence on culture technology. 6(3). 353–359. 1 indexed citations
13.
Rey, Soo‐Chang, et al.. (2019). Formation of Blue-cored Dwarf Early-type Galaxies in a Cluster Environment: A Kinematical Perspective. The Astrophysical Journal. 879(2). 97–97. 11 indexed citations
14.
Lee, Jaehyun, Suk Kim, Hyunjin Jeong, et al.. (2018). Wobbling Galaxy Spin Axes in Dense Environments. The Astrophysical Journal. 864(1). 69–69. 12 indexed citations
15.
Lee, Youngdae, et al.. (2018). Research on the Development of Automated Multifunction-Integrated Motion Bed. The Journal of the Institute of Webcasting, Internet and Telecommunication. 18(5). 215–222. 2 indexed citations
16.
Kim, Suk, et al.. (2018). Discovery of the Kinematic Alignment of Early-type Galaxies in the Virgo Cluster. The Astrophysical Journal Letters. 860(1). L3–L3. 3 indexed citations
17.
Lee, Youngdae, et al.. (2018). A new robotic horseback-riding simulator for riding lessons and equine-assisted therapy. International Journal of Advanced Robotic Systems. 15(4). 7 indexed citations
18.
Lee, Youngdae, et al.. (2007). Investigation of Key Factors to measure on-site Performance of a Construction firm. Korean Journal of Construction Engineering and Management. 8(6). 246–262. 1 indexed citations
19.
Lee, Beom-Hee, et al.. (2000). A Genetic Optimization Approach to Operation of a Multi-head Surface Mounting Machine. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(9). 1747–1756. 9 indexed citations
20.
Lee, Youngdae & Shoichiro ASAKAWA. (1989). The Application of Experimental Designs for the Assessment of Greenery. Journal of the Japanese Institute of Landscape Architects. 53(5). 383–388. 1 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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