Ting‐Li Su

31 papers and 882 indexed citations i.

About

Ting‐Li Su is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Ting‐Li Su has authored 31 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Ting‐Li Su’s work include Statistical Methods and Bayesian Inference (4 papers), Orthodontics and Dentofacial Orthopedics (3 papers) and Emergency and Acute Care Studies (2 papers). Ting‐Li Su is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Orthodontics and Dentofacial Orthopedics (3 papers) and Emergency and Acute Care Studies (2 papers). Ting‐Li Su collaborates with scholars based in United Kingdom, United States and Italy. Ting‐Li Su's co-authors include Peter J. Diggle, Raquel Menezes, Barry Rowlingson, Thomas Jaki, Daniel O. Scharfstein, James M. Robins, Andrea Rotnitzky, Matthew Sperrin, Iain Buchan and Graeme L. Hickey and has published in prestigious journals such as Angewandte Chemie International Edition, Biometrics and Cochrane library.

In The Last Decade

Co-authorship network of co-authors of Ting‐Li Su i

Fields of papers citing papers by Ting‐Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Li Su. 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‐Li Su. The network helps show where Ting‐Li Su may publish in the future.

Countries citing papers authored by Ting‐Li Su

Since Specialization
Citations

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