Su-Kit Tang

45 papers and 205 indexed citations
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About

Su-Kit Tang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Su-Kit Tang has authored 45 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Su-Kit Tang’s work include Video Surveillance and Tracking Methods (9 papers), Advanced Neural Network Applications (5 papers) and Smart Agriculture and AI (4 papers). Su-Kit Tang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Neural Network Applications (5 papers) and Smart Agriculture and AI (4 papers). Su-Kit Tang collaborates with scholars based in Macao, Italy and United States. Su-Kit Tang's co-authors include Rita Tse, Giovanni Pau, Hong Lin, Zhenping Qiang, Silvia Mirri, Paola Salomoni, Wei Fan, Giovanni Pau, Xu Yang and Giovanni Delnevo and has published in prestigious journals such as Frontiers in Plant Science, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Su-Kit Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Kit Tang. A scholar is included among the top collaborators of Su-Kit Tang 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 Su-Kit Tang. Su-Kit Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Su-Kit Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Kit Tang. 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 Su-Kit Tang. The network helps show where Su-Kit Tang may publish in the future.

Countries citing papers authored by Su-Kit Tang

Since Specialization
Citations

This map shows the geographic impact of Su-Kit Tang'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 Su-Kit Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Kit Tang 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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2026