Ting Fang Tan

26 papers and 1.3k indexed citations i.

About

Ting Fang Tan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ting Fang Tan has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Informatics, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Ting Fang Tan’s work include Artificial Intelligence in Healthcare and Education (14 papers), Retinal Imaging and Analysis (10 papers) and Retinal Diseases and Treatments (4 papers). Ting Fang Tan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (14 papers), Retinal Imaging and Analysis (10 papers) and Retinal Diseases and Treatments (4 papers). Ting Fang Tan collaborates with scholars based in Singapore, United States and United Kingdom. Ting Fang Tan's co-authors include Daniel Shu Wei Ting, Arun James Thirunavukarasu, Laura Gutiérrez, Kabilan Elangovan, Darren Shu Jeng Ting, Zhen Ling Teo, Nan Liu, Wei Lu, Rui Yang and Dinesh Visva Gunasekeran and has published in prestigious journals such as Nature Medicine, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Ting Fang Tan i

Fields of papers citing papers by Ting Fang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Fang Tan

Since Specialization
Citations

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