Jiashun Jin

55 papers and 2.0k indexed citations i.

About

Jiashun Jin is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jiashun Jin has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Jiashun Jin’s work include Statistical Methods and Inference (19 papers), Complex Network Analysis Techniques (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jiashun Jin is often cited by papers focused on Statistical Methods and Inference (19 papers), Complex Network Analysis Techniques (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jiashun Jin collaborates with scholars based in United States, Australia and Singapore. Jiashun Jin's co-authors include David L. Donoho, Tommaso Cai, Peter Hall, Pengsheng Ji, Zheng Tracy Ke, Hui Zhang, Dan Shu, Peixuan Guo, L. Cayón and E. Martínez-González and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Jiashun Jin i

Fields of papers citing papers by Jiashun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiashun Jin

Since Specialization
Citations

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