Jiarui Sun

37 total papers · 1.0k total citations
17 papers, 304 citations indexed

About

Jiarui Sun is a scholar working on Molecular Biology, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Jiarui Sun has authored 17 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Modeling and Simulation. Recurrent topics in Jiarui Sun's work include COVID-19 epidemiological studies (4 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). Jiarui Sun is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). Jiarui Sun collaborates with scholars based in China, France and Switzerland. Jiarui Sun's co-authors include Xiao‐Hua Zhou, Chong You, Wenjie Hu, Yuan Zhang, Qiushi Lin, Cheng Heng Pang, Zhengchao Chen, Yuhao Deng, Feng Zhou and Xiaokang Liu and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Advanced Science.

In The Last Decade

Jiarui Sun

16 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jiarui Sun 204 113 73 58 34 17 304
Yiwang Zhou 167 0.8× 60 0.5× 68 0.9× 55 0.9× 37 1.1× 21 325
Sangeeta Bhatia 115 0.6× 114 1.0× 22 0.3× 85 1.5× 30 0.9× 26 321
Conan Zhao 118 0.6× 104 0.9× 32 0.4× 28 0.5× 45 1.3× 10 252
Jessica E. Stockdale 229 1.1× 183 1.6× 44 0.6× 64 1.1× 28 0.8× 15 360
Jing Zhang 171 0.8× 98 0.9× 67 0.9× 56 1.0× 22 0.6× 8 298
Shu Yang 137 0.7× 110 1.0× 54 0.7× 49 0.8× 37 1.1× 17 318
Riley O. Mummah 154 0.8× 150 1.3× 41 0.6× 37 0.6× 5 0.1× 9 347
Nicholas Steyn 177 0.9× 147 1.3× 42 0.6× 67 1.2× 19 0.6× 19 327
Joe Brew 66 0.3× 91 0.8× 33 0.5× 74 1.3× 9 0.3× 21 342
Sebastián Contreras 152 0.7× 93 0.8× 38 0.5× 34 0.6× 34 1.0× 27 286

Countries citing papers authored by Jiarui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jiarui Sun. A scholar is included among the top collaborators of Jiarui Sun 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 Jiarui Sun. Jiarui Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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