Won‐Joon Son

2.4k total citations
72 papers, 1.9k citations indexed

About

Won‐Joon Son is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Won‐Joon Son has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 37 papers in Materials Chemistry and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Won‐Joon Son's work include Organic Light-Emitting Diodes Research (19 papers), Organic Electronics and Photovoltaics (12 papers) and Semiconductor materials and devices (10 papers). Won‐Joon Son is often cited by papers focused on Organic Light-Emitting Diodes Research (19 papers), Organic Electronics and Photovoltaics (12 papers) and Semiconductor materials and devices (10 papers). Won‐Joon Son collaborates with scholars based in South Korea, United States and Germany. Won‐Joon Son's co-authors include Seungwu Han, Hyeonho Choi, Inkoo Kim, Myung‐Hwan Whangbo, Joonghyuk Kim, Soon Ok Jeon, Eunae Cho, Jibao Lu, Ying Dai and Yuanyuan Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Won‐Joon Son

69 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Joon Son South Korea 21 1.2k 1.1k 291 207 195 72 1.9k
Manabu Ihara Japan 24 1.5k 1.2× 747 0.7× 291 1.0× 364 1.8× 178 0.9× 166 2.0k
Mayeul d’Avezac United States 18 1.1k 0.9× 699 0.6× 227 0.8× 146 0.7× 235 1.2× 25 1.5k
Long Cheng China 30 1.7k 1.4× 1.3k 1.2× 319 1.1× 138 0.7× 727 3.7× 82 2.8k
Rafał Korlacki United States 18 889 0.7× 439 0.4× 805 2.8× 205 1.0× 188 1.0× 55 1.4k
Daniel B. Dougherty United States 25 909 0.7× 861 0.8× 313 1.1× 110 0.5× 545 2.8× 83 1.7k
Prakash Chandra Mondal India 23 541 0.4× 1.2k 1.1× 215 0.7× 253 1.2× 316 1.6× 77 1.8k
ChiYung Yam China 27 1.5k 1.2× 1.3k 1.2× 285 1.0× 212 1.0× 825 4.2× 98 2.3k
Masayuki Suda Japan 27 750 0.6× 790 0.7× 535 1.8× 111 0.5× 408 2.1× 75 1.9k
Lauro June Queiroz Maia Brazil 24 1.2k 1.0× 677 0.6× 311 1.1× 144 0.7× 356 1.8× 127 1.8k
Xiaopeng Fan China 19 1.5k 1.2× 1.1k 1.0× 210 0.7× 172 0.8× 338 1.7× 57 2.2k

Countries citing papers authored by Won‐Joon Son

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Joon Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Joon Son. 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 Won‐Joon Son. The network helps show where Won‐Joon Son may publish in the future.

Co-authorship network of co-authors of Won‐Joon Son

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Joon Son. A scholar is included among the top collaborators of Won‐Joon Son 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 Won‐Joon Son. Won‐Joon Son 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.
Cho, Eunseog, Won‐Joon Son, Seungmin Lee, et al.. (2025). Unraveling the adhesion characteristics of ruthenium as an advanced metal interconnect material using machine learning potential. Journal of Materials Chemistry C. 13(15). 7772–7784.
2.
Son, Won‐Joon, et al.. (2024). Ab Initio Prediction of Vapor Pressure for Diverse Atomic Layer Deposition Precursors. Journal of Chemical Theory and Computation. 20(14). 6144–6151. 3 indexed citations
3.
Ko, Dong‐Su, Sihyung Lee, Soohwan Sul, et al.. (2024). A streamlined algorithm for two-dimensional bandgaps and defect-state energy variations in InGaN-based micro-LEDs. Materials Horizons. 12(6). 1891–1902. 1 indexed citations
4.
Cho, Eunseog, Ara Jo, Tae‐Gon Kim, et al.. (2024). Exploring the optical characteristics influenced by size and surface defects in AgInS2 quantum dots: A theoretical study with a simple ligand model. Applied Surface Science. 686. 162142–162142. 1 indexed citations
5.
Kim, Inkoo, Daun Jeong, Won‐Joon Son, et al.. (2023). Kohn–Sham time-dependent density functional theory with Tamm–Dancoff approximation on massively parallel GPUs. npj Computational Materials. 9(1). 6 indexed citations
6.
Park, Ji Young, Hyun‐Ji Song, Won‐Joon Son, et al.. (2023). EUV-induced activation mechanism of photoacid generators: key factors affecting EUV sensitivity. 27–27. 1 indexed citations
7.
Müller, Peter C., Richard Dronskowski, Woon Ih Choi, et al.. (2023). On the atomistic origin of the polymorphism and the dielectric physical properties of beryllium oxide. Journal of Computational Chemistry. 44(10). 1052–1063. 2 indexed citations
8.
Choi, Woon Ih, et al.. (2023). Switchable Chemical‐Bond Reorganization for the Stable Charge Trapping in Amorphous Silicon Nitride. Advanced Materials. 36(9). e2308054–e2308054. 7 indexed citations
9.
Choi, Woon Ih, Aamir Shafique, Hye Jung Kim, et al.. (2023). Structural-Stability Study of AntiperovskiteNa3OClforNa-Rich Solid Electrolyte. Physical Review Applied. 19(3). 7 indexed citations
10.
11.
Yakubovich, Alexander V., et al.. (2021). Exploiting the quantum mechanically derived force field for functional materials simulations. npj Computational Materials. 7(1). 8 indexed citations
12.
Kim, Dong-Seok, Rosemary L. Calabro, Minsu Gu, et al.. (2021). Exploring the Role of Surface States in Emissive Carbon Nanodots: Analysis at Single‐Particle Level. Chemistry - An Asian Journal. 16(24). 4155–4164. 2 indexed citations
13.
Kim, Inkoo, et al.. (2020). Tetradentate Pt(II) Phosphors: A Computational Analysis of Nonradiative Decay Rates and Luminescence Efficiency. The Journal of Physical Chemistry C. 124(22). 12039–12048. 6 indexed citations
14.
Yakubovich, Alexander V., Won‐Joon Son, Ohyun Kwon, et al.. (2020). Accurate Vapor Pressure Prediction for Large Organic Molecules: Application to Materials Utilized in Organic Light-Emitting Diodes. Journal of Chemical Theory and Computation. 16(9). 5845–5851. 6 indexed citations
15.
Kwak, Seung‐Yeon, Seoung‐Tae Kim, Kyu Young Hwang, et al.. (2020). Ancillary ligand increases the efficiency of heteroleptic Ir-based triplet emitters in OLED devices. Nature Communications. 11(1). 2292–2292. 36 indexed citations
16.
Son, Won‐Joon, Hyo Sug Lee, Gyutae Lim, et al.. (2019). A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients. International Journal of Molecular Sciences. 20(24). 6276–6276. 34 indexed citations
17.
Kwon, Youngchun, Jiho Yoo, Youn-Suk Choi, et al.. (2019). Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation. Journal of Cheminformatics. 11(1). 70–70. 47 indexed citations
18.
Liu, Yuanyuan, Won‐Joon Son, Jibao Lu, et al.. (2011). Composition Dependence of the Photocatalytic Activities of BiOCl1−xBrx Solid Solutions under Visible Light. Chemistry - A European Journal. 17(34). 9342–9349. 202 indexed citations
19.
Son, Won‐Joon, Soonmin Jang, & Seokmin Shin. (2011). Simulated Q-annealing: conformational search with an effective potential. Journal of Molecular Modeling. 18(1). 213–220. 3 indexed citations
20.
Kim, Howon, et al.. (2007). Epitaxial Mn5Ge3nano-islands on a Ge(001) surface. Nanotechnology. 19(2). 25707–25707. 13 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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