Yee Wah Tsang

About

Yee Wah Tsang is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yee Wah Tsang has authored 5 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Yee Wah Tsang’s work include AI in cancer detection (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Cutaneous Melanoma Detection and Management (1 paper). Yee Wah Tsang is often cited by papers focused on AI in cancer detection (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Cutaneous Melanoma Detection and Management (1 paper). Yee Wah Tsang collaborates with scholars based in United Kingdom, South Korea and United States. Yee Wah Tsang's co-authors include Nasir Rajpoot, Ayesha Azam, Jin Tae Kwak, Shan E Ahmed Raza, Simon Graham, Quoc Dang Vu, David Snead, Ian A. Cree, D. B. A. Epstein and Korsuk Sirinukunwattana and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and BMC Cancer.

In The Last Decade

Co-authorship network of co-authors of Yee Wah Tsang i

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Fields of papers citing papers by Yee Wah Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yee Wah Tsang

Since Specialization

Citations

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