Jiarui Sun

1.0k total citations
17 papers, 310 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 310 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), Digital Imaging for Blood Diseases (3 papers) and Brain Tumor Detection and Classification (3 papers). Jiarui Sun is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Digital Imaging for Blood Diseases (3 papers) and Brain Tumor Detection and Classification (3 papers). Jiarui Sun collaborates with scholars based in China, France and Bangladesh. Jiarui Sun's co-authors include Xiao‐Hua Zhou, Yuan Zhang, Wenjie Hu, Chong You, Cheng Heng Pang, Qiushi Lin, Zhengchao Chen, Feng Zhou, Yuhao Deng and Haijun Song 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 303 citations

Peers

Jiarui Sun
Comparison fields: 5 of 82
  • Modeling and Simulation 204
  • Infectious Diseases 114
  • Economics and Econometrics 73
  • Epidemiology 59
  • Molecular Biology 37
Replace Yiwang Zhou with:
Yiwang Zhou United States
Sangeeta Bhatia United Kingdom
Conan Zhao United States
Jessica E. Stockdale Canada
Nicholas Steyn New Zealand
Shu Yang China
Sebastián Contreras Chile
Andrea Torneri Belgium
Kathiresan Gopal Malaysia
Yiwang Zhou United States View profile →
Citations per field, relative to Jiarui Sun
Jiarui Sun · 1×
Citations per year, relative to Jiarui Sun
Jiarui Sun · 1×

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

17 of 17 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 1
5 5
6 10
7 0
8 2
9 6
10 23
11 36
12 1
13 187
14 24
15 7
16
CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection
2
17 3

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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