Kok-Cheong Wong
- Mechanical Engineering top 5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Nawaf H. SaeidJian‐Hong LeeMansoor SiddiqueMohammad MansoorChin Seong LimZheng GuoHongcheng WangJosef Kittler
- Topics
- Heat Transfer Mechanisms (16 papers)Nanofluid Flow and Heat Transfer (9 papers)Human Motion and Animation (8 papers)
In The Last Decade
Kok-Cheong Wong
48 papers receiving 737 citations
Peers
Comparison fields: 5 of 70
- Mechanical Engineering 430
- Computational Mechanics 231
- Biomedical Engineering 179
- Computer Vision and Pattern Recognition 140
- Artificial Intelligence 76
Countries citing papers authored by Kok-Cheong Wong
This map shows the geographic impact of Kok-Cheong 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 Kok-Cheong Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kok-Cheong Wong more than expected).
Fields of papers citing papers by Kok-Cheong Wong
This network shows the impact of papers produced by Kok-Cheong 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 Kok-Cheong Wong. The network helps show where Kok-Cheong Wong may publish in the future.
Co-authorship network of co-authors of Kok-Cheong Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Kok-Cheong Wong. A scholar is included among the top collaborators of Kok-Cheong 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 Kok-Cheong Wong. Kok-Cheong Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 50 | |
| 7 | 4 | |
| 8 | 45 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 27 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Dynamic Time Warp Based Framespace Interpolation for Motion Editing. | 11 |
| 17 | 3 | |
| 18 | 5 | |
| 19 | A New Diploid Scheme and Dominance Change Mechanism for Non-Stationary Function Optimization | 75 |
| 20 | The recognition of triangle-pairs and quadrilaterals from a single perspective view | 0 |
About Kok-Cheong Wong
Kok-Cheong Wong is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics and Computational Mechanics, having authored 52 papers that have together received 775 indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (16 papers), Nanofluid Flow and Heat Transfer (9 papers) and Human Motion and Animation (8 papers). The work is most often cited by research in Mechanical Engineering (430 citations), Computational Mechanics (231 citations) and Computer Graphics and Computer-Aided Design (24 citations). Kok-Cheong Wong has collaborated with scholars based in Malaysia, Singapore and China. Frequent co-authors include Nawaf H. Saeid, Jian‐Hong Lee, Mansoor Siddique, Mohammad Mansoor, Chin Seong Lim, Zheng Guo, Hongcheng Wang, Josef Kittler, Bin Ding and Guihua Chen. Their work appears in journals such as International Journal of Heat and Mass Transfer, Pattern Recognition and International Journal of Plasticity.
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.