Wai Yee Chan

39 papers and 820 indexed citations i.

About

Wai Yee Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wai Yee Chan has authored 39 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Artificial Intelligence and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wai Yee Chan’s work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Breast Lesions and Carcinomas (5 papers). Wai Yee Chan is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Breast Lesions and Carcinomas (5 papers). Wai Yee Chan collaborates with scholars based in Malaysia, United States and Singapore. Wai Yee Chan's co-authors include U. Rajendra Acharya, U. Raghavendra, Anjan Gudigar, Chui Ping Ooi, Kwan Hoong Ng, Daniel Maslyar, Oliver Faust, K. Meenakshi, Padmavathi Kora and K. Swaraja and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Wai Yee Chan i

Fields of papers citing papers by Wai Yee Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wai Yee Chan

Since Specialization
Citations

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