Jiashun Jin

3.6k total citations
51 papers, 1.9k citations indexed

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 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Jiashun Jin's work include Statistical Methods and Inference (16 papers), Complex Network Analysis Techniques (10 papers) and Statistical Methods in Clinical Trials (8 papers). Jiashun Jin is often cited by papers focused on Statistical Methods and Inference (16 papers), Complex Network Analysis Techniques (10 papers) and Statistical Methods in Clinical Trials (8 papers). Jiashun Jin collaborates with scholars based in United States, Singapore and China. Jiashun Jin's co-authors include David L. Donoho, Tommaso Cai, Zheng Tracy Ke, Pengsheng Ji, Dan Shu, Peixuan Guo, Hui Zhang, Peter Hall, Chris Clifton and Murat Kantarcıoğlu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Jiashun Jin

48 papers receiving 1.8k citations

Peers

Jiashun Jin
Comparison fields: 5 of 139
  • Statistics and Probability 701
  • Artificial Intelligence 627
  • Molecular Biology 456
  • Statistical and Nonlinear Physics 297
  • Genetics 171
Replace Harrison H. Zhou with:
Harrison H. Zhou United States
Jianhua Z. Huang United States
Olav Kallenberg United States
Judith Rousseau France
Oren Patashnik United States
Gopinath Kallianpur United States
Laurent Saloff‐Coste United States
Igor Vajda Czechia
David Saad United Kingdom
Andrzej Lasota Poland
Harrison H. Zhou United States View profile →
Citations per field, relative to Jiashun Jin
Jiashun Jin · 1×
Citations per year, relative to Jiashun Jin
Jiashun Jin · 1×

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).

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.

Co-authorship network of co-authors of Jiashun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiashun Jin. A scholar is included among the top collaborators of Jiashun Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiashun Jin. Jiashun Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 13
4 6
5
Sharp Impossibility Results for Hyper-graph Testing
4
6 3
7 1
8 6
9 25
10 70
11 149
12
Important Feature PCA for high dimensional clustering
3
13 23
14
Fast network community detection by SCORE
6
15 50
16
A GENERALIZED FOURIER APPROACH TO ESTIMATING THE NULL PARAMETERS AND PROPORTION OF NONNULL EFFECTS IN LARGE-SCALE MULTIPLE TESTING.
3
17 37
18 139
19 26
20
Detecting and estimating sparse mixtures
14

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026