Swee Liang Wong

3.6k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

Swee Liang Wong is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Swee Liang Wong has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Swee Liang Wong's work include Graphene research and applications (22 papers), 2D Materials and Applications (16 papers) and MXene and MAX Phase Materials (8 papers). Swee Liang Wong is often cited by papers focused on Graphene research and applications (22 papers), 2D Materials and Applications (16 papers) and MXene and MAX Phase Materials (8 papers). Swee Liang Wong collaborates with scholars based in Singapore, France and China. Swee Liang Wong's co-authors include Andrew T. S. Wee, Yang Su, Vasyl G. Kravets, Jonathan M. Waters, Rajeev Nair, A. K. Geim, Han Huang, Dongzhi Chi, Zibiao Li and D. Z. and has published in prestigious journals such as Physical Review Letters, Nature Communications and ACS Nano.

In The Last Decade

Swee Liang Wong

40 papers receiving 2.5k citations

Hit Papers

Impermeable barrier films and protective coatings based o... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swee Liang Wong Singapore 23 1.9k 1.2k 655 342 169 40 2.5k
Jong Chan Kim South Korea 21 1.5k 0.8× 1.1k 0.9× 430 0.7× 160 0.5× 173 1.0× 37 2.3k
Luigi Martiradonna Italy 22 702 0.4× 700 0.6× 718 1.1× 322 0.9× 106 0.6× 79 1.8k
Un Jeong Kim South Korea 24 1.7k 0.9× 982 0.8× 676 1.0× 252 0.7× 305 1.8× 87 2.4k
Guibai Xie China 18 2.2k 1.1× 1.3k 1.0× 1.0k 1.5× 372 1.1× 271 1.6× 30 2.9k
Jea‐Gun Park South Korea 26 1.3k 0.7× 1.4k 1.2× 1.1k 1.7× 460 1.3× 430 2.5× 225 2.6k
Michael S. Arnold United States 30 2.6k 1.4× 1.4k 1.1× 1.1k 1.6× 720 2.1× 357 2.1× 92 3.5k
Dongxia Shi China 17 1.6k 0.8× 1.1k 0.9× 1.5k 2.3× 370 1.1× 468 2.8× 39 2.9k
Zheng Yang China 33 1.3k 0.6× 1.6k 1.3× 866 1.3× 241 0.7× 363 2.1× 67 2.4k
Rong Yang China 29 3.1k 1.6× 2.0k 1.7× 1.5k 2.2× 489 1.4× 451 2.7× 75 4.4k

Countries citing papers authored by Swee Liang Wong

Since Specialization
Citations

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

Fields of papers citing papers by Swee Liang Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swee Liang 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 Swee Liang Wong. The network helps show where Swee Liang Wong may publish in the future.

Co-authorship network of co-authors of Swee Liang Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Swee Liang Wong. A scholar is included among the top collaborators of Swee Liang 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 Swee Liang Wong. Swee Liang 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.
Wong, Swee Liang, et al.. (2023). Screening unknown novel psychoactive substances using GC–MS based machine learning. Forensic Chemistry. 34. 100499–100499. 6 indexed citations
2.
Tan, Jin Da, Balamurugan Ramalingam, Swee Liang Wong, et al.. (2023). Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization. Journal of Chemical Information and Modeling. 63(15). 4560–4573. 10 indexed citations
3.
Feng, Xuewei, Sifan Li, Swee Liang Wong, et al.. (2021). Self-Selective Multi-Terminal Memtransistor Crossbar Array for In-Memory Computing. ACS Nano. 15(1). 1764–1774. 136 indexed citations
4.
Bash, Daniil, Vijila Chellappan, Swee Liang Wong, et al.. (2021). Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites. Advanced Functional Materials. 31(36). 34 indexed citations
5.
Huan, Yan Qi, et al.. (2020). Deep learning-enabled prediction of 2D material breakdown. Nanotechnology. 32(26). 265203–265203. 7 indexed citations
6.
Gogoi, Pranjal Kumar, Yung‐Chang Lin, Ryosuke Senga, et al.. (2019). Layer Rotation-Angle-Dependent Excitonic Absorption in van der Waals Heterostructures Revealed by Electron Energy Loss Spectroscopy. ACS Nano. 13(8). 9541–9550. 30 indexed citations
7.
Kotekar‐Patil, Dharmraj, Jie Deng, Swee Liang Wong, & Kuan Eng Johnson Goh. (2019). Coulomb Blockade in Etched Single- and Few-Layer MoS2 Nanoribbons. ACS Applied Electronic Materials. 1(11). 2202–2207. 15 indexed citations
8.
Lau, Chit Siong, Jing Yee Chee, Hiroyo Kawai, et al.. (2019). Carrier control in 2D transition metal dichalcogenides with Al2O3 dielectric. Scientific Reports. 9(1). 8769–8769. 13 indexed citations
9.
Lim, Yee‐Fun, Fabio Bussolotti, Pranjal Kumar Gogoi, et al.. (2018). Modification of Vapor Phase Concentrations in MoS2 Growth Using a NiO Foam Barrier. ACS Nano. 12(2). 1339–1349. 74 indexed citations
10.
Tang, Baoshan, Zhi Gen Yu, Li Huang, et al.. (2018). Direct n- to p-Type Channel Conversion in Monolayer/Few-Layer WS2 Field-Effect Transistors by Atomic Nitrogen Treatment. ACS Nano. 12(3). 2506–2513. 124 indexed citations
11.
Song, Zhibo, Thorsten Schultz, Zijing Ding, et al.. (2017). Electronic Properties of a 1D Intrinsic/p-Doped Heterojunction in a 2D Transition Metal Dichalcogenide Semiconductor. ACS Nano. 11(9). 9128–9135. 58 indexed citations
12.
Liu, H. F., Swee Liang Wong, & D. Z.. (2015). CVD Growth of MoS2‐based Two‐dimensional Materials. Chemical Vapor Deposition. 21(10-11-12). 241–259. 174 indexed citations
13.
Su, Yang, Vasyl G. Kravets, Swee Liang Wong, et al.. (2014). Impermeable barrier films and protective coatings based on reduced graphene oxide. Nature Communications. 5(1). 4843–4843. 544 indexed citations breakdown →
14.
Kashtiban, Reza J., Rahul R. Nair, Recep Zan, et al.. (2014). Atomically resolved imaging of highly ordered alternating fluorinated graphene. Nature Communications. 5(1). 4902–4902. 43 indexed citations
15.
Huang, Han, Swee Liang Wong, Yuzhan Wang, et al.. (2014). Scanning Tunneling Microscope and Photoemission Spectroscopy Investigations of Bismuth on Epitaxial Graphene on SiC(0001). The Journal of Physical Chemistry C. 118(43). 24995–24999. 18 indexed citations
16.
Huang, Han, Swee Liang Wong, Jia‐Tao Sun, Wei Chen, & Andrew T. S. Wee. (2012). Trapping Single Polar Molecules in SiC Nanomesh via Out-of-Plane Dipoles. ACS Nano. 6(3). 2774–2778. 17 indexed citations
17.
Sun, Jia‐Tao, Han Huang, Swee Liang Wong, et al.. (2012). Energy-Gap Opening in a Bi(110) Nanoribbon Induced by Edge Reconstruction. Physical Review Letters. 109(24). 246804–246804. 65 indexed citations
18.
Wong, Swee Liang, Han Huang, Wei Chen, & Andrew T. S. Wee. (2012). STM studies of epitaxial graphene. MRS Bulletin. 37(12). 1195–1202. 10 indexed citations
19.
Huang, Han, Dacheng Wei, Jia‐Tao Sun, et al.. (2012). Spatially Resolved Electronic Structures of Atomically Precise Armchair Graphene Nanoribbons. Scientific Reports. 2(1). 983–983. 222 indexed citations
20.
Wong, Swee Liang, Han Huang, Yuzhan Wang, et al.. (2011). Quasi-Free-Standing Epitaxial Graphene on SiC (0001) by Fluorine Intercalation from a Molecular Source. ACS Nano. 5(9). 7662–7668. 84 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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