Young‐Gyun Kim

928 total citations
28 papers, 733 citations indexed

About

Young‐Gyun Kim is a scholar working on Biomedical Engineering, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Young‐Gyun Kim has authored 28 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 6 papers in Condensed Matter Physics and 5 papers in Artificial Intelligence. Recurrent topics in Young‐Gyun Kim's work include Physics of Superconductivity and Magnetism (6 papers), Superconducting Materials and Applications (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Young‐Gyun Kim is often cited by papers focused on Physics of Superconductivity and Magnetism (6 papers), Superconducting Materials and Applications (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Young‐Gyun Kim collaborates with scholars based in South Korea, United States and France. Young‐Gyun Kim's co-authors include Sung‐Hoon Ahn, Ji‐Hyeon Song, Seungyong Hahn, Haigun Lee, Min‐Soo Kim, Kwang Lok Kim, Ying‐Jun Quan, Marco Valtorta, Soo‐Hong Min and Jiří Vomlel and has published in prestigious journals such as ACS Nano, Bioresource Technology and Scientific Reports.

In The Last Decade

Young‐Gyun Kim

25 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Gyun Kim South Korea 13 389 246 187 103 96 28 733
Zheng Xu China 15 400 1.0× 201 0.8× 52 0.3× 21 0.2× 177 1.8× 34 839
Fanyu Zeng China 12 505 1.3× 91 0.4× 211 1.1× 43 0.4× 161 1.7× 25 846
Jonas Hilt Germany 18 360 0.9× 1.3k 5.3× 60 0.3× 93 0.9× 58 0.6× 56 1.9k
Leran Zhang China 12 222 0.6× 136 0.6× 84 0.4× 26 0.3× 44 0.5× 29 551
Jang‐Kyoo Shin South Korea 13 318 0.8× 521 2.1× 46 0.2× 103 1.0× 96 1.0× 131 807
Giwan Yoon South Korea 20 331 0.9× 1.3k 5.3× 64 0.3× 355 3.4× 313 3.3× 111 1.7k
Hajime Kimura Japan 21 187 0.5× 168 0.7× 88 0.5× 40 0.4× 230 2.4× 89 1.4k
Haihang Wang China 17 215 0.6× 384 1.6× 49 0.3× 20 0.2× 288 3.0× 58 872
Norhayati Soin Malaysia 18 418 1.1× 869 3.5× 37 0.2× 81 0.8× 125 1.3× 176 1.2k
S. Hackwood United States 18 325 0.8× 667 2.7× 49 0.3× 50 0.5× 136 1.4× 51 1.2k

Countries citing papers authored by Young‐Gyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Gyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Gyun Kim. 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‐Gyun Kim. The network helps show where Young‐Gyun Kim may publish in the future.

Co-authorship network of co-authors of Young‐Gyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Gyun Kim. A scholar is included among the top collaborators of Young‐Gyun Kim 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‐Gyun Kim. Young‐Gyun Kim 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.
Kim, Young‐Gyun, et al.. (2022). Piezoelectric strain sensor with high sensitivity and high stretchability based on kirigami design cutting. npj Flexible Electronics. 6(1). 110 indexed citations
2.
Kim, Young‐Gyun, et al.. (2022). Improved performance of stretchable piezoelectric energy harvester based on stress rearrangement. Scientific Reports. 12(1). 19149–19149. 12 indexed citations
3.
Lee, Jung Tae, Seong Hyeon Park, Jaemin Kim, et al.. (2021). Preliminary Conceptual Design Study on HTS Toroidal Field Coil for Compact High Magnetic Field Tokamak. IEEE Transactions on Applied Superconductivity. 31(5). 1–7. 12 indexed citations
4.
Kim, Young‐Gyun, et al.. (2021). Lithography-free and Highly Angle Sensitive Structural Coloration Using Fabry–Perot Resonance of Tin. International Journal of Precision Engineering and Manufacturing-Green Technology. 8(3). 997–1006. 18 indexed citations
5.
Kim, Young‐Gyun, et al.. (2021). Nanoscale Ag/WO3 Multilayered Fabry–Perot Cavities for Colorimetric NO2 Sensing. ACS Applied Nano Materials. 4(12). 12986–12992. 2 indexed citations
6.
Kim, Young‐Gyun, et al.. (2019). P‐134: A Study on Spreading Characteristics of Resin. SID Symposium Digest of Technical Papers. 50(1). 1617–1619. 2 indexed citations
7.
Kim, Jimin, et al.. (2018). A Study on the Electrical Characteristics of Metal-Clad GdBCO Coils. IEEE Transactions on Applied Superconductivity. 28(3). 1–5. 6 indexed citations
8.
Song, Jung-Bin, et al.. (2018). Superconducting Properties of Reacted Mono- and Multifilament MgB2 Wires With Respect to Bending Diameters Using a Custom-Made Bending Test Probe. IEEE Transactions on Applied Superconductivity. 28(3). 1–6. 10 indexed citations
9.
Kim, Seok, et al.. (2017). Field-calibrated magneto-optic sensor based on off-axis optical probing of intense magnetic fields. Applied Optics. 56(6). 1701–1701. 7 indexed citations
10.
Lee, Wooseung, et al.. (2016). Magnetic Field Stability Analysis on No-Insulation and Turn-to-Turn Soldered HTS Magnets Under Sinusoidal Noise Operation. IEEE Transactions on Applied Superconductivity. 26(4). 1–5. 2 indexed citations
11.
Kim, Young‐Gyun & Marco Valtorta. (2013). On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. arXiv (Cornell University). 362–367. 1 indexed citations
12.
Lee, Na‐Ri, et al.. (2013). Fermentation Characteristics of Chungkookjang Prepared Using Different Soybean. Journal of Environmental Science International. 22(6). 723–732. 3 indexed citations
13.
Shin, Hyun-Jin, et al.. (2012). Effects of Melting Diffusion and Annealing in Oxygen on Superconducting Characteristics of GdBCO Coated Conductors: Preliminary Results. IEEE Transactions on Applied Superconductivity. 23(3). 6600804–6600804. 13 indexed citations
14.
Kim, Young‐Gyun, et al.. (2011). Investigation of HTS Racetrack Coil Without Turn-to-Turn Insulation for Superconducting Rotating Machines. IEEE Transactions on Applied Superconductivity. 22(3). 5200604–5200604. 122 indexed citations
15.
Kim, Young‐Gyun, et al.. (2010). Development of Camera Module Production Process Management System Based on a Sensor Network. The Journal of Korean Institute of Information Technology. 8(5). 93–101.
16.
Jeong, Jin-Ha, O‐Mi Lee, Geuntae Park, et al.. (2010). Influence of glycerol on production and structural–physical properties of cellulose from Acetobacter sp. V6 cultured in shake flasks. Bioresource Technology. 101(10). 3602–3608. 85 indexed citations
17.
Kim, Won-Seok, et al.. (2002). A subchannel analysis code MATRA-LMR for wire wrapped LMR subassembly. Annals of Nuclear Energy. 29(3). 303–321. 75 indexed citations
18.
Valtorta, Marco, Young‐Gyun Kim, & Jiří Vomlel. (2002). Soft evidential update for probabilistic multiagent systems. International Journal of Approximate Reasoning. 29(1). 71–106. 40 indexed citations
19.
Kim, Young‐Gyun & Marco Valtorta. (2001). Time-critical decision making with communicating influence diagrams. 1 indexed citations
20.
Kim, Young‐Gyun, et al.. (1999). Nuclear and thermal–hydraulic characteristics for an LMR core fueled with 20% enriched uranium metallic fuel. Annals of Nuclear Energy. 26(8). 679–697. 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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