Siu Ting Leung

4 papers and 1.0k indexed citations i.

About

Siu Ting Leung is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Siu Ting Leung has authored 4 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Biomedical Engineering and 1 paper in Oncology. Recurrent topics in Siu Ting Leung’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (1 paper). Siu Ting Leung is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (1 paper). Siu Ting Leung collaborates with scholars based in Hong Kong, China and United Kingdom. Siu Ting Leung's co-authors include Ming‐Yen Ng, Jonan Chun Yin Lee, Ho Yuen Frank Wong, Elaine Lee, Tina Lam, Michael Kuo, Eric Yuk Fai Wan, Macy Mei‐Sze Lui, K.W. Chiu and Christine Shing-Yen Lo and has published in prestigious journals such as Radiology, JACC. Cardiovascular imaging and Journal of Thoracic Imaging.

In The Last Decade

Co-authorship network of co-authors of Siu Ting Leung i

Fields of papers citing papers by Siu Ting Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siu Ting Leung. 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 Siu Ting Leung. The network helps show where Siu Ting Leung may publish in the future.

Countries citing papers authored by Siu Ting Leung

Since Specialization
Citations

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