Si‐Wa Chan

39 papers and 791 indexed citations i.

About

Si‐Wa Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Si‐Wa Chan has authored 39 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Si‐Wa Chan’s work include AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (13 papers) and MRI in cancer diagnosis (11 papers). Si‐Wa Chan is often cited by papers focused on AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (13 papers) and MRI in cancer diagnosis (11 papers). Si‐Wa Chan collaborates with scholars based in Taiwan, United States and South Korea. Si‐Wa Chan's co-authors include Jeon‐Hor Chen, Min‐Ying Su, Orhan Nalcioğlu, Muqing Lin, Rita S. Mehta, Ke Nie, Shadfar Bahri, Daniel Chow, Garima Agrawal and Hon J. Yu and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Co-authorship network of co-authors of Si‐Wa Chan i

Fields of papers citing papers by Si‐Wa Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si‐Wa 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 Si‐Wa Chan. The network helps show where Si‐Wa Chan may publish in the future.

Countries citing papers authored by Si‐Wa Chan

Since Specialization
Citations

This map shows the geographic impact of Si‐Wa 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 Si‐Wa Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Wa 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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2025