Cynthia Sin Nga Lam

5 papers and 299 indexed citations i.

About

Cynthia Sin Nga Lam is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cynthia Sin Nga Lam has authored 5 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cynthia Sin Nga Lam’s work include COVID-19 diagnosis using AI (2 papers), COVID-19 epidemiological studies (2 papers) and Anatomy and Medical Technology (1 paper). Cynthia Sin Nga Lam is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), COVID-19 epidemiological studies (2 papers) and Anatomy and Medical Technology (1 paper). Cynthia Sin Nga Lam collaborates with scholars based in Hong Kong, United States and United Kingdom. Cynthia Sin Nga Lam's co-authors include Miguel Luengo-Oroz, Joseph Aylett-Bullock, Katherine Hoffmann Pham, Alexandra Sasha Luccioni, Ka Wing, Wentao Fang, Kelvin K. Ng, Chung Mau Lo and Margaret Kay Ho and has published in prestigious journals such as Journal of Artificial Intelligence Research, IEEE Technology and Society Magazine and Hong Kong Medical Journal.

In The Last Decade

Co-authorship network of co-authors of Cynthia Sin Nga Lam i

Fields of papers citing papers by Cynthia Sin Nga Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cynthia Sin Nga Lam. 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 Cynthia Sin Nga Lam. The network helps show where Cynthia Sin Nga Lam may publish in the future.

Countries citing papers authored by Cynthia Sin Nga Lam

Since Specialization
Citations

This map shows the geographic impact of Cynthia Sin Nga Lam'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 Cynthia Sin Nga Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia Sin Nga Lam 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