K. S. Chan

About

K. S. Chan is a scholar working on Building and Construction, Transportation and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. S. Chan has authored 7 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Building and Construction, 3 papers in Transportation and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. S. Chan’s work include Traffic Prediction and Management Techniques (3 papers), Transportation Planning and Optimization (3 papers) and Augmented Reality Applications (2 papers). K. S. Chan is often cited by papers focused on Traffic Prediction and Management Techniques (3 papers), Transportation Planning and Optimization (3 papers) and Augmented Reality Applications (2 papers). K. S. Chan collaborates with scholars based in Hong Kong and United States. K. S. Chan's co-authors include William H. K. Lam, Joanne Yip, Kit‐Lun Yick, Ka‐Hing Wong, Christine Armatas, Jennifer Evans, Mei Lam Tam and Steven J. Hudak and has published in prestigious journals such as Computers & Education, Transportation and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Co-authorship network of co-authors of K. S. Chan i

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Fields of papers citing papers by K. S. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Chan. 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 K. S. Chan. The network helps show where K. S. Chan may publish in the future.

Countries citing papers authored by K. S. Chan

Since Specialization

Citations

This map shows the geographic impact of K. S. Chan'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 K. S. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Chan 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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