C.H. Wong

5.0k total citations · 1 hit paper
100 papers, 3.9k citations indexed

About

C.H. Wong is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, C.H. Wong has authored 100 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Materials Chemistry, 43 papers in Mechanical Engineering and 29 papers in Biomedical Engineering. Recurrent topics in C.H. Wong's work include Carbon Nanotubes in Composites (27 papers), Additive Manufacturing Materials and Processes (21 papers) and Adhesion, Friction, and Surface Interactions (20 papers). C.H. Wong is often cited by papers focused on Carbon Nanotubes in Composites (27 papers), Additive Manufacturing Materials and Processes (21 papers) and Adhesion, Friction, and Surface Interactions (20 papers). C.H. Wong collaborates with scholars based in Singapore, India and Hong Kong. C.H. Wong's co-authors include K.M. Liew, C. Tang, V. Vijayaraghavan, Xiaoqiao He, Ming Jen Tan, Kim Quy Le, Jie Tan, Ming Gan, Akhil Garg and Kang Tai and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

C.H. Wong

100 papers receiving 3.8k citations

Hit Papers

A numerical investigation on the physical mechanisms of s... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.H. Wong Singapore 34 1.8k 1.8k 1.0k 717 558 100 3.9k
Mark A. Tschopp United States 40 3.5k 1.9× 3.8k 2.2× 595 0.6× 458 0.6× 1.1k 2.1× 103 5.8k
Jiang Li China 34 2.3k 1.2× 1.9k 1.1× 221 0.2× 477 0.7× 885 1.6× 258 4.2k
David Bue Pedersen Denmark 28 1.1k 0.6× 617 0.4× 1.5k 1.5× 529 0.7× 121 0.2× 156 2.8k
Bai‐Xiang Xu Germany 33 826 0.5× 1.9k 1.1× 779 0.8× 1.0k 1.4× 842 1.5× 207 4.5k
Wei Xiong United States 32 3.1k 1.7× 1.1k 0.6× 803 0.8× 281 0.4× 252 0.5× 140 3.8k
Ping Guo China 36 2.0k 1.1× 723 0.4× 259 0.3× 1.6k 2.2× 571 1.0× 164 3.7k
Jie Song China 24 1.4k 0.8× 519 0.3× 536 0.5× 205 0.3× 284 0.5× 74 2.4k
Keng Hsu United States 23 1.1k 0.6× 650 0.4× 564 0.6× 1.1k 1.5× 98 0.2× 79 2.7k
Yu Zou Canada 38 3.4k 1.9× 1.3k 0.7× 444 0.4× 539 0.8× 679 1.2× 169 4.8k
Min Li China 39 2.1k 1.2× 1.7k 0.9× 239 0.2× 802 1.1× 1.7k 3.1× 242 4.7k

Countries citing papers authored by C.H. Wong

Since Specialization
Citations

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

Fields of papers citing papers by C.H. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.H. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of C.H. Wong. A scholar is included among the top collaborators of C.H. 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 C.H. Wong. C.H. 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.
2.
Le, Kim Quy, C. Tang, & C.H. Wong. (2019). On the study of keyhole-mode melting in selective laser melting process. International Journal of Thermal Sciences. 145. 105992–105992. 108 indexed citations
3.
Gan, Ming & C.H. Wong. (2018). Experimental studies on the properties of selectively laser melted alumina-spodumene composite. Ceramics International. 44(15). 19008–19015. 14 indexed citations
4.
Chua, Chee Kai, Wai Yee Yeong, & C.H. Wong. (2017). Standards, quality control, and measurement sciences in 3D printing and additive manufacturing. CERN Document Server (European Organization for Nuclear Research). 68 indexed citations
5.
Gan, Ming & C.H. Wong. (2017). Properties of selective laser melted spodumene glass-ceramic. Journal of the European Ceramic Society. 37(13). 4147–4154. 38 indexed citations
6.
Wong, C.H., et al.. (2017). Applications of non-destructive testing techniques for post-process control of additively manufactured parts. Virtual and Physical Prototyping. 12(4). 301–321. 69 indexed citations
7.
Gan, Ming & C.H. Wong. (2016). Practical support structures for selective laser melting. Journal of Materials Processing Technology. 238. 474–484. 142 indexed citations
8.
Tan, Jie & C.H. Wong. (2016). Review of Multi-material Additive Manufacturing. DR-NTU (Nanyang Technological University). 2 indexed citations
9.
Wong, C.H., et al.. (2016). Selective Laser Melting Of Spodumene: An Exploratory Study. DR-NTU (Nanyang Technological University). 2 indexed citations
10.
Huang, Jie & C.H. Wong. (2015). Mechanical properties of bundled carbon nanoscroll. Mechanics of Materials. 87. 1–10. 4 indexed citations
11.
Hansen, Reinack Varghese, et al.. (2015). Epigallocatechin gallate decorated carbon nanotube chemiresistors for ultrasensitive glucose detection. Organic Electronics. 28. 210–216. 5 indexed citations
12.
Huang, Jie & C.H. Wong. (2015). Hydrogen transportation properties in carbon nano-scroll investigated by using molecular dynamics simulations. Computational Materials Science. 102. 7–13. 7 indexed citations
13.
An, Jianing, et al.. (2014). Effect of channel length on the electrical response of carbon nanotube field-effect transistors to deoxyribonucleic acid hybridization. Beilstein Journal of Nanotechnology. 5. 2081–2091. 6 indexed citations
14.
Vijayaraghavan, V. & C.H. Wong. (2014). Transport characteristics of water molecules in carbon nanotubes investigated by using molecular dynamics simulation. Computational Materials Science. 89. 36–44. 37 indexed citations
15.
Garg, Akhil, V. Vijayaraghavan, C.H. Wong, Kang Tai, & Liang Gao. (2014). An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material. Simulation Modelling Practice and Theory. 44. 1–13. 24 indexed citations
16.
Wong, C.H. & V. Vijayaraghavan. (2013). Compressive characteristics of single walled carbon nanotube with water interactions investigated by using molecular dynamics simulation. Physics Letters A. 378(5-6). 570–576. 33 indexed citations
17.
Vijayaraghavan, V. & C.H. Wong. (2012). Tensile loading characteristics of free-form and water submerged single layer graphene sheet. DR-NTU (Nanyang Technological University). 106. 1–4. 6 indexed citations
18.
Wong, C.H.. (2010). Elastic properties of imperfect single-walled carbon nanotubes under axial tension. Computational Materials Science. 49(1). 143–147. 33 indexed citations
19.
Liew, K.M., et al.. (2007). Non-Twisted and Twisted CNT Bundles under Axial Tensile and Compressive Loads. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 121-123. 1415–1418. 2 indexed citations
20.
Wong, C.H., et al.. (2004). Modeling and Simulation of Multi-walled Carbon Nanotubes using Molecular Dynamics Simulation. TechConnect Briefs. 3(2004). 248–251. 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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