Xin Tong

About

Xin Tong is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Xin Tong has authored 32 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Statistics and Probability. Recurrent topics in Xin Tong’s work include Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (6 papers) and Gene expression and cancer classification (5 papers). Xin Tong is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (6 papers) and Gene expression and cancer classification (5 papers). Xin Tong collaborates with scholars based in United States, China and Canada. Xin Tong's co-authors include Yang Feng, Jianqing Fan, Hong‐Zhong Huang, Ming J. Zuo, Jingyi Jessica Li, Philippe Rigollet, Jiancheng Jiang, Agnar Aamodt, Xiao Han and Yingying Fan and has published in prestigious journals such as Journal of the American Statistical Association, Genome Research and Science Advances.

In The Last Decade

Co-authorship network of co-authors of Xin Tong i

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Fields of papers citing papers by Xin Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Tong. 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 Xin Tong. The network helps show where Xin Tong may publish in the future.

Countries citing papers authored by Xin Tong

Since Specialization

Citations

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