Wai Keung Wong

209 papers and 5.1k indexed citations i.

About

Wai Keung Wong is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Wai Keung Wong has authored 209 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 50 papers in Industrial and Manufacturing Engineering and 44 papers in Artificial Intelligence. Recurrent topics in Wai Keung Wong’s work include Face and Expression Recognition (38 papers), Sparse and Compressive Sensing Techniques (24 papers) and Assembly Line Balancing Optimization (24 papers). Wai Keung Wong is often cited by papers focused on Face and Expression Recognition (38 papers), Sparse and Compressive Sensing Techniques (24 papers) and Assembly Line Balancing Optimization (24 papers). Wai Keung Wong collaborates with scholars based in Hong Kong, China and Germany. Wai Keung Wong's co-authors include S.Y.S. Leung, Yang Tang, Zhihui Lai, Zhihui Lai, Yong Xu, Zhaoxia Guo, Xiaozhao Fang, C.K. Kwong, Xuelong Li and Min Xia and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Wai Keung Wong i

Fields of papers citing papers by Wai Keung Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wai Keung Wong

Since Specialization
Citations

This map shows the geographic impact of Wai 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 Wai 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 Wai Keung Wong more than expected).

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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2025