Ting‐Kam Leonard Wong

20 papers and 174 indexed citations i.

About

Ting‐Kam Leonard Wong is a scholar working on Applied Mathematics, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Ting‐Kam Leonard Wong has authored 20 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Applied Mathematics, 7 papers in Statistics and Probability and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ting‐Kam Leonard Wong’s work include Optimal Transport in Geometry and Analysis (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Stochastic processes and financial applications (6 papers). Ting‐Kam Leonard Wong is often cited by papers focused on Optimal Transport in Geometry and Analysis (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Stochastic processes and financial applications (6 papers). Ting‐Kam Leonard Wong collaborates with scholars based in United States, Canada and Hong Kong. Ting‐Kam Leonard Wong's co-authors include Soumik Pal, Christa Cuchiero, Walter Schachermayer, Jun Zhang, Ka‐Sing Lau, Jianfeng Zhang, Peter H. Baxendale, David Duvenaud, Xuechen Li and Jin Ma and has published in prestigious journals such as IEEE Transactions on Information Theory, Advances in Mathematics and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Ting‐Kam Leonard Wong i

Fields of papers citing papers by Ting‐Kam Leonard Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting‐Kam Leonard Wong

Since Specialization
Citations

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