William S. Y. Wong

2.1k total citations
39 papers, 1.6k citations indexed

About

William S. Y. Wong is a scholar working on Surfaces, Coatings and Films, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, William S. Y. Wong has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surfaces, Coatings and Films, 11 papers in Mechanics of Materials and 9 papers in Computational Mechanics. Recurrent topics in William S. Y. Wong's work include Surface Modification and Superhydrophobicity (31 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Fluid Dynamics and Heat Transfer (7 papers). William S. Y. Wong is often cited by papers focused on Surface Modification and Superhydrophobicity (31 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Fluid Dynamics and Heat Transfer (7 papers). William S. Y. Wong collaborates with scholars based in Germany, Australia and Finland. William S. Y. Wong's co-authors include Doris Vollmer, David R. Nisbet, Antonio Tricoli, Z. H. Stachurski, Antonio Tricoli, Abhinav Naga, Zuankai Wang, Jie Xu, Yayue Pan and Alireza Ahmadian Yazdi and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and Nature Communications.

In The Last Decade

William S. Y. Wong

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William S. Y. Wong Germany 22 972 717 369 307 270 39 1.6k
Kosmas Ellinas Greece 21 1.3k 1.3× 872 1.2× 391 1.1× 404 1.3× 305 1.1× 53 1.8k
Shreerang S. Chhatre United States 12 1.1k 1.1× 529 0.7× 293 0.8× 392 1.3× 283 1.0× 19 1.5k
Mizuki Tenjimbayashi Japan 26 1.4k 1.4× 803 1.1× 448 1.2× 362 1.2× 267 1.0× 74 2.0k
Guoqiang Li China 26 1.2k 1.2× 806 1.1× 481 1.3× 387 1.3× 631 2.3× 74 2.0k
Kengo Manabe Japan 24 1.3k 1.4× 728 1.0× 302 0.8× 339 1.1× 214 0.8× 46 1.8k
Hai Zhu China 21 1.0k 1.0× 576 0.8× 360 1.0× 146 0.5× 204 0.8× 50 1.6k
Xiaowei Liu China 20 799 0.8× 337 0.5× 277 0.8× 383 1.2× 185 0.7× 49 1.2k
Hannu Teisala Finland 22 1.2k 1.2× 577 0.8× 424 1.1× 402 1.3× 263 1.0× 36 1.7k
Xinran Dong China 21 866 0.9× 502 0.7× 794 2.2× 321 1.0× 478 1.8× 43 1.7k

Countries citing papers authored by William S. Y. Wong

Since Specialization
Citations

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

Fields of papers citing papers by William S. Y. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William S. Y. Wong. 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 William S. Y. Wong. The network helps show where William S. Y. Wong may publish in the future.

Co-authorship network of co-authors of William S. Y. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of William S. Y. Wong. A scholar is included among the top collaborators of William S. Y. Wong 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 William S. Y. Wong. William S. Y. Wong 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.
Hashemi, Arsalan, Sankara Arunachalam, Tapio Ala-Nissilä, et al.. (2025). Self-Accelerating Drops on Silicone-Based Super Liquid-Repellent Surfaces. ACS Nano. 19(25). 23105–23119.
2.
Wong, William S. Y., et al.. (2025). Fast capillary waves on an underwater superhydrophobic surface. Nature Communications. 16(1). 1568–1568. 1 indexed citations
3.
Latikka, Mika, et al.. (2024). Smoothening Perfluoroalkylated Surfaces: Liquid‐Like Despite Molecular Rigidity?. Advanced Materials Interfaces. 12(5). 3 indexed citations
4.
Wong, William S. Y., et al.. (2024). Polarity-Induced Reactive Wetting: Spreading and Retracting Sessile Water Drops. Langmuir. 40(26). 13562–13572. 2 indexed citations
5.
Wong, William S. Y., et al.. (2024). Ultrasonic Healing of Plastrons. Advanced Science. 11(33). e2403028–e2403028. 2 indexed citations
6.
Wong, William S. Y., et al.. (2024). Designing Plastrons for Underwater Bubble Capture: From Model Microstructures to Stochastic Nanostructures. Advanced Science. 11(33). e2403366–e2403366. 4 indexed citations
7.
Naga, Abhinav, et al.. (2024). Direct visualization of viscous dissipation and wetting ridge geometry on lubricant-infused surfaces. Communications Physics. 7(1). 4 indexed citations
8.
Ma, Jun, Chen Zhang, William S. Y. Wong, & Jinlong Song. (2024). Facile, scalable and Substrate-Independent omniphobic surface. Applied Surface Science. 682. 161726–161726. 5 indexed citations
9.
Wong, William S. Y., et al.. (2023). Design of Fluoro‐Free Surfaces Super‐Repellent to Low‐Surface‐Tension Liquids. Advanced Materials. 35(29). e2300306–e2300306. 35 indexed citations
10.
Wong, William S. Y., et al.. (2022). Tuning the Charge of Sliding Water Drops. Langmuir. 38(19). 6224–6230. 31 indexed citations
11.
Wong, William S. Y., Abhinav Naga, Lukas Hauer, et al.. (2021). Super liquid repellent surfaces for anti-foaming and froth management. Nature Communications. 12(1). 5358–5358. 35 indexed citations
12.
Hauer, Lukas, et al.. (2021). Frost spreading and pattern formation on microstructured surfaces. Physical review. E. 104(4). 44901–44901. 8 indexed citations
13.
Wang, Wei, Wancheng Gu, Ping Liu, et al.. (2021). Heterogeneously-wetting glass with enhanced anti-fingerprint properties. Chemical Engineering Journal. 430. 132902–132902. 12 indexed citations
14.
Naga, Abhinav, Anke Kaltbeitzel, William S. Y. Wong, et al.. (2020). How a water drop removes a particle from a hydrophobic surface. Soft Matter. 17(7). 1746–1755. 25 indexed citations
15.
Li, Meiting, et al.. (2020). Oil-immersion stable superamphiphobic coatings for long-term super liquid-repellency. Chemical Engineering Journal. 420. 127606–127606. 39 indexed citations
16.
Wong, William S. Y. & Antonio Tricoli. (2018). Cassie-Levitated Droplets for Distortion-Free Low-Energy Solid–Liquid Interactions. ACS Applied Materials & Interfaces. 10(16). 13999–14007. 13 indexed citations
17.
Liu, Guanyu, William S. Y. Wong, Noushin Nasiri, & Antonio Tricoli. (2016). Ultraporous superhydrophobic gas-permeable nano-layers by scalable solvent-free one-step self-assembly. Nanoscale. 8(11). 6085–6093. 30 indexed citations
18.
Wong, William S. Y., Minfei Li, David R. Nisbet, et al.. (2016). Mimosa Origami: A nanostructure-enabled directional self-organization regime of materials. Science Advances. 2(6). e1600417–e1600417. 110 indexed citations
19.
Wong, William S. Y., Guanyu Liu, Noushin Nasiri, et al.. (2016). Omnidirectional Self-Assembly of Transparent Superoleophobic Nanotextures. ACS Nano. 11(1). 587–596. 110 indexed citations
20.
Wong, William S. Y., Philipp Gutruf, Sharath Sriram, et al.. (2015). Strain Engineering of Wave‐like Nanofibers for Dynamically Switchable Adhesive/Repulsive Surfaces. Advanced Functional Materials. 26(3). 399–407. 49 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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