Sai‐Keung Wong

679 citations
62 papers · 479 indexed · h-index 12

Sai‐Keung Wong

58 papers receiving 450 citations

Peers

Sai‐Keung Wong
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 79
  • Human-Computer Interaction 81
  • Computer Vision and Pattern Recognition 190
  • Ocean Engineering 125
  • Control and Systems Engineering 136
Replace Branislav Ulicny with:
Branislav Ulicny Switzerland
Céline Loscos France
Andrew Best United States
Robert W. Sumner Switzerland
Lorenzo Porzi Italy
Ioannis Karamouzas United States
Titus Zaharia France
Moohyun Cha South Korea
Abhinav Golas United States
Abhinav Gupta United States
Sai‐Keung Wong relative to Branislav Ulicny Switzerland Branislav Ulicny's profile →
Citations per field
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Branislav Ulicny · 1×
Citations per year

Countries citing papers authored by Sai‐Keung Wong

Since Specialization
Citations

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

Fields of papers citing papers by Sai‐Keung Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai‐Keung 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 Sai‐Keung Wong. The network helps show where Sai‐Keung Wong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sai‐Keung Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sai‐Keung Wong Line = papers co-authored together Sai‐Keung Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20231
5 20227
6 202211
7 20226
8 201826
9 201811
10 201732
11 20178
12 20170
13 20162
14 20151
15 20143
16 20146
17 20135
18 20123
19 20111
20 20105

About Sai‐Keung Wong

Sai‐Keung Wong is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Ocean Engineering, having authored 62 papers that have together received 479 indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (20 papers), Human Motion and Animation (13 papers), Computer Graphics and Visualization Techniques (12 papers), Robotic Path Planning Algorithms (10 papers), Virtual Reality Applications and Impacts (10 papers), 3D Shape Modeling and Analysis (10 papers), Traffic control and management (8 papers) and Computational Geometry and Mesh Generation (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Human-Computer Interaction (81 citations) and Computer Vision and Pattern Recognition (190 citations). Sai‐Keung Wong has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Yu-Shuen Wang, Sabarish V. Babu, Wen‐Chieh Lin, Matias Volonte, Tsung‐Yu Tsai, Kuan‐Yu Liu, Yu‐Chun Hsu, Hsuan Chen, George Baciu and Po‐Han Huang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Intelligent Transportation Systems and Knowledge-Based Systems.

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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