Hong‐Son Chu

2.6k total citations · 1 hit paper
73 papers, 2.1k citations indexed

About

Hong‐Son Chu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hong‐Son Chu has authored 73 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 51 papers in Biomedical Engineering and 29 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hong‐Son Chu's work include Plasmonic and Surface Plasmon Research (49 papers), Photonic and Optical Devices (36 papers) and Gold and Silver Nanoparticles Synthesis and Applications (19 papers). Hong‐Son Chu is often cited by papers focused on Plasmonic and Surface Plasmon Research (49 papers), Photonic and Optical Devices (36 papers) and Gold and Silver Nanoparticles Synthesis and Applications (19 papers). Hong‐Son Chu collaborates with scholars based in Singapore, France and Canada. Hong‐Son Chu's co-authors include Lin Wu, W. S. Koh, Er‐Ping Li, Ping Bai, Christian A. Nijhuis, Tao Wang, Wei Du, Ravi S. Hegde, Wei-Bin Ewe and Yuriy Akimov and has published in prestigious journals such as Nano Letters, ACS Nano and Applied Physics Letters.

In The Last Decade

Hong‐Son Chu

69 papers receiving 2.0k citations

Hit Papers

Highly sensitive graphene biosensors based on surface pla... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Son Chu Singapore 20 1.6k 1.2k 680 579 402 73 2.1k
Binfeng Yun China 24 956 0.6× 1.6k 1.3× 465 0.7× 844 1.5× 151 0.4× 158 2.2k
K. C. Vernon Australia 18 1.3k 0.8× 580 0.5× 838 1.2× 526 0.9× 137 0.3× 38 1.5k
Christopher Gladden United States 8 1.8k 1.2× 1.1k 0.9× 1.2k 1.7× 1.0k 1.7× 96 0.2× 14 2.4k
Shao‐Ding Liu China 24 1.3k 0.8× 781 0.6× 1.0k 1.5× 771 1.3× 85 0.2× 74 1.9k
J. R. Mejía-Salazar Brazil 19 1000 0.6× 597 0.5× 564 0.8× 421 0.7× 285 0.7× 89 1.5k
Tingyin Ning China 21 887 0.6× 783 0.6× 630 0.9× 659 1.1× 134 0.3× 100 1.6k
Tavakol Pakizeh Iran 20 1.4k 0.9× 423 0.3× 1.0k 1.5× 657 1.1× 158 0.4× 49 1.7k
Dmitry Zuev Russia 21 995 0.6× 742 0.6× 714 1.1× 590 1.0× 87 0.2× 92 1.8k
Y. Lacroute France 16 1.2k 0.8× 581 0.5× 555 0.8× 616 1.1× 106 0.3× 39 1.6k

Countries citing papers authored by Hong‐Son Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Son Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong‐Son Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Son Chu. A scholar is included among the top collaborators of Hong‐Son Chu 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 Hong‐Son Chu. Hong‐Son Chu 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.
Leykam, Daniel, et al.. (2025). Collective nature of high-Q resonances in finite-size photonic metastructures. Physical Review Research. 7(1). 3 indexed citations
2.
Ding, Lu, Shawn Yohanes Siew, Shiyang Zhu, et al.. (2024). Silicon Nanoantennas for Ultra‐Compact, High‐Speed and Low‐Power Consumption Electro‐Optic Modulators. Laser & Photonics Review. 18(8).
3.
Trịnh, Quang Thang, Thi To Nga Phan, Khuong P. Ong, et al.. (2024). How to design plasmonic Ag/SrTiO3 nanocomposites as efficient photocatalyst: Theoretical insight and experimental validation. Journal of Alloys and Compounds. 1002. 175322–175322. 17 indexed citations
4.
Trisno, Jonathan, et al.. (2023). Enhancing LED spectral output with perylene dye-based remote phosphor. Scientific Reports. 13(1). 10841–10841. 3 indexed citations
5.
Chu, Hong‐Son, et al.. (2022). High-performance dielectric nano-cavities for near- and mid-infrared frequency applications. Journal of Optics. 24(9). 94006–94006. 7 indexed citations
6.
Ewe, Wei-Bin, et al.. (2022). Variational Quantum-Based Simulation of Waveguide Modes. IEEE Transactions on Microwave Theory and Techniques. 70(5). 2517–2525. 13 indexed citations
7.
Ding, Lu, Dmitry Morits, Hong‐Son Chu, et al.. (2022). One-Dimensional High-Q Silicon Nanoparticle Chain Resonators for Refractive Index Sensing. ACS Applied Nano Materials. 5(3). 3170–3176. 9 indexed citations
8.
Chu, Hong‐Son, et al.. (2022). Phase Matching via Plasmonic Modal Dispersion for Third Harmonic Generation. Advanced Science. 9(21). e2201180–e2201180. 5 indexed citations
9.
Wang, Zhe, et al.. (2021). Optical Anisotropy in van der Waals materials: Impact on Direct Excitation of Plasmons and Photons by Quantum Tunneling. Light Science & Applications. 10(1). 230–230. 11 indexed citations
10.
Ding, Lu, Yefeng Yu, Dmitry Morits, et al.. (2020). Low loss waveguiding and slow light modes in coupled subwavelength silicon Mie resonators. Nanoscale. 12(42). 21713–21718. 12 indexed citations
11.
Ha, Son Tung, Zhenying Pan, Ramón Paniagua‐Domínguez, et al.. (2020). Collective Mie Resonances for Directional On-Chip Nanolasers. Nano Letters. 20(8). 5655–5661. 34 indexed citations
12.
Duffin, Thorin J., et al.. (2020). Efficient Surface Plasmon Polariton Excitation and Control over Outcoupling Mechanisms in Metal–Insulator–Metal Tunneling Junctions. Advanced Science. 7(8). 1900291–1900291. 32 indexed citations
13.
Chu, Hong‐Son, et al.. (2013). High Optical Performance and Practicality of Active Plasmonic devices based on Rhombohedral BiFeO 3. APS. 2013. 1 indexed citations
14.
Ooi, Kelvin J. A., Hong‐Son Chu, L. K. Ang, & Ping Bai. (2013). Mid-infrared active graphene nanoribbon plasmonic waveguide devices. Journal of the Optical Society of America B. 30(12). 3111–3111. 52 indexed citations
15.
Akimov, Yuriy & Hong‐Son Chu. (2012). Plasmon–plasmon interaction: controlling light at nanoscale. Nanotechnology. 23(44). 444004–444004. 10 indexed citations
16.
Chu, Hong‐Son, Yuriy Akimov, Ping Bai, & Er‐Ping Li. (2012). Submicrometer radius and highly confined plasmonic ring resonator filters based on hybrid metal-oxide-semiconductor waveguide. Optics Letters. 37(21). 4564–4564. 29 indexed citations
17.
Wu, Lin, et al.. (2010). Highly sensitive graphene biosensors based on surface plasmon resonance. Optics Express. 18(14). 14395–14395. 804 indexed citations breakdown →
18.
Chu, Hong‐Son, Er‐Ping Li, Ping Bai, & Ravi S. Hegde. (2010). Optical performance of single-mode hybrid dielectric-loaded plasmonic waveguide-based components. Applied Physics Letters. 96(22). 137 indexed citations
19.
Ewe, Wei-Bin, Hong‐Son Chu, & Er‐Ping Li. (2007). Volume integral equation analysis of surface plasmon resonance of nanoparticles. Optics Express. 15(26). 18200–18200. 22 indexed citations
20.
Chu, Hong‐Son, et al.. (2006). Coupled computational intelligence and time-domain method for design of the microwave devices. HAL (Le Centre pour la Communication Scientifique Directe). 50. 1930–1933. 2 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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