Young Jae Song

5.6k total citations · 1 hit paper
120 papers, 4.1k citations indexed

About

Young Jae Song is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Young Jae Song has authored 120 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Materials Chemistry, 58 papers in Electrical and Electronic Engineering and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Young Jae Song's work include Graphene research and applications (57 papers), 2D Materials and Applications (39 papers) and Quantum and electron transport phenomena (17 papers). Young Jae Song is often cited by papers focused on Graphene research and applications (57 papers), 2D Materials and Applications (39 papers) and Quantum and electron transport phenomena (17 papers). Young Jae Song collaborates with scholars based in South Korea, United States and United Kingdom. Young Jae Song's co-authors include Sungjoo Lee, Minwoo Kim, Jin‐Hong Park, Sung Kyu Jang, Jaewoo Shim, Jaeho Jeon, Young Kuk, Se‐Jong Kahng, Jeong Ho Cho and Seo‐Hyeon Jo and has published in prestigious journals such as Nature, Physical Review Letters and Advanced Materials.

In The Last Decade

Young Jae Song

116 papers receiving 4.1k citations

Hit Papers

Phosphorene/rhenium disulfide heterojunction-based negati... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Jae Song South Korea 32 2.8k 2.2k 793 666 369 120 4.1k
Alex Belianinov United States 33 2.4k 0.9× 1.6k 0.7× 814 1.0× 606 0.9× 371 1.0× 103 3.7k
Huide Wang China 39 3.1k 1.1× 2.5k 1.1× 782 1.0× 863 1.3× 244 0.7× 61 4.4k
Jonghwa Eom South Korea 41 3.4k 1.2× 2.4k 1.1× 808 1.0× 1.3k 2.0× 289 0.8× 142 4.8k
Changyong Lan China 35 2.6k 0.9× 3.0k 1.4× 902 1.1× 723 1.1× 563 1.5× 106 4.3k
Xuming Zou China 33 3.0k 1.1× 3.1k 1.4× 1.1k 1.4× 335 0.5× 435 1.2× 92 4.4k
Jinshui Miao China 33 2.5k 0.9× 2.5k 1.1× 1.5k 1.9× 367 0.6× 405 1.1× 79 3.9k
Joonki Suh United States 34 5.2k 1.9× 3.1k 1.4× 723 0.9× 577 0.9× 691 1.9× 71 6.3k
Ping Chen China 28 2.4k 0.9× 2.1k 1.0× 818 1.0× 242 0.4× 352 1.0× 151 4.0k

Countries citing papers authored by Young Jae Song

Since Specialization
Citations

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

Fields of papers citing papers by Young Jae Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Jae Song. 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 Jae Song. The network helps show where Young Jae Song may publish in the future.

Co-authorship network of co-authors of Young Jae Song

This figure shows the co-authorship network connecting the top 25 collaborators of Young Jae Song. A scholar is included among the top collaborators of Young Jae Song 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 Jae Song. Young Jae Song 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.
Woo, Hwi Je, Sung-Gyu Lee, Duhee Yoon, et al.. (2025). Advancing nano-optical investigations: Metallic and dielectric Mie particles in SPM techniques and their emerging applications. Applied Physics Reviews. 12(3).
2.
Woo, Hwi Je, Bong Gyu Shin, Sung-Gyu Lee, et al.. (2024). Probing Inherent Optical Anisotropy in Substrates via Direct Nanoimaging of Mie Scattering. ACS Nano. 18(19). 12333–12340. 3 indexed citations
3.
Shin, Bong Gyu, Ji Hoon Park, Jing Kong, Soon Jung Jung, & Young Jae Song. (2024). Charged Black‐Hole‐Like Electronic Structure Driven by Geometric Potential of 2D Semiconductors. Advanced Materials. 37(26). e2402373–e2402373. 2 indexed citations
4.
Yang, Qingshan, et al.. (2024). Synthesis of N-doped graphene film with tunable graphitic and pyridinic doping content. Diamond and Related Materials. 144. 111043–111043. 1 indexed citations
5.
Hwang, Uiseok, Tufail Hassan, Chong Min Koo, et al.. (2024). Enhanced electromagnetic interference shielding in cement composites utilizing carbon fiber clustered networks with dual different lengths. Carbon. 233. 119887–119887. 6 indexed citations
6.
Kang, Hyunmin, Taegeun Yoon, Ji‐Won Park, et al.. (2023). Defect Identification of Nitrogen-Doped Graphene on Pt (111) Using Atomic Force Microscopy and Scanning Tunneling Microscopy. The Journal of Physical Chemistry C. 127(42). 20742–20748. 4 indexed citations
7.
Yoon, Taegeun, Ki‐Yong Kim, Yong Il Kim, et al.. (2023). Transparent, Flexible, and Highly Sensitive Piezocomposite Capable of Harvesting and Monitoring Kinetic Movements of Microbubbles in Liquid. Advanced Functional Materials. 33(43). 12 indexed citations
8.
Kim, Young‐Shin, Jiyun Lee, Hansol Lee, et al.. (2023). Latent and controllable doping of stimuli-activated molecular dopants for flexible and printable organic thermoelectric generators. Chemical Engineering Journal. 470. 144129–144129. 12 indexed citations
9.
Kang, Min Jeong, et al.. (2023). Standing wave patterns in graphene systems studied using scanning tunneling spectroscopy. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 41(6). 1 indexed citations
10.
Woo, Hwi Je, Seongwon Woo, Hyun‐Tae Kim, et al.. (2023). Selective Mapping of Tip-Launched Near-Field Scattering of Surface Plasmon Polaritons for Retrieving Dispersion Relation in Silver Nanoflakes. ACS Applied Nano Materials. 6(4). 2560–2568. 2 indexed citations
11.
Roe, Dong Gue, Seongchan Kim, Yoon Young Choi, et al.. (2021). Biologically Plausible Artificial Synaptic Array: Replicating Ebbinghaus’ Memory Curve with Selective Attention. Advanced Materials. 33(14). e2007782–e2007782. 47 indexed citations
12.
Roe, Dong Gue, Yoon Young Choi, Jong Ik Lee, et al.. (2021). Artificial stimulus-response system capable of conscious response. Science Advances. 7(15). 72 indexed citations
13.
Kwon, Hyeokshin, S. Appalakondaiah, Insu Jeon, et al.. (2020). Quasiparticle interference and impurity resonances on WTe2. Nano Research. 13(9). 2534–2540. 11 indexed citations
14.
Kang, Hyungseok, Hwi Je Woo, Han Kim, et al.. (2019). Metal nanowire–polymer matrix hybrid layer for triboelectric nanogenerator. Nano Energy. 58. 227–233. 30 indexed citations
15.
Nam, Jungtae, Sung Hee Kim, Boram Kim, et al.. (2019). Visualization of CVD-grown graphene on Cu film using area-selective ALD for quality management. Applied Surface Science. 496. 143614–143614. 4 indexed citations
16.
Jo, Bonghyun, Hwi Je Woo, Zijia Li, et al.. (2018). Management of transition dipoles in organic hole-transporting materials under solar irradiation for perovskite solar cells. Nature Communications. 9(1). 4537–4537. 93 indexed citations
17.
Chae, Jungseok, Suyong Jung, Sungjong Woo, et al.. (2012). Enhanced Carrier Transport along Edges of Graphene Devices. Nano Letters. 12(4). 1839–1844. 31 indexed citations
18.
Song, Young Jae, et al.. (2011). Software Quality Evaluation Matrix Construction and Relative Weight Decision of Quality Attributes using ANP. The Journal of Korean Institute of Information Technology. 9(11). 171–179. 1 indexed citations
19.
Song, Young Jae. (2011). Landau Levels in Graphene. 20(4). 7–7. 1 indexed citations
20.
Song, Young Jae, et al.. (2007). Design of a 20 mK/15 T STM system. APS. 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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