Jiehuan Sun

1.6k citations
29 papers · 461 indexed · h-index 11
Topics
Gene expression and cancer classification (6 papers)Statistical Methods and Inference (6 papers)Menstrual Health and Disorders (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Jiehuan Sun

27 papers receiving 455 citations

Peers

Jiehuan Sun
Comparison fields: 5 of 98
  • Molecular Biology 170
  • Genetics 130
  • Artificial Intelligence 63
  • Physiology 45
  • Cognitive Neuroscience 31
Replace Louise A C Millard with:
Louise A C Millard United Kingdom
Stefan Konigorski Germany
Loes M. Olde Loohuis United States
Daniel Bean United Kingdom
Prosenjit Kundu United States
Lisa Bastarache United States
Karina Banasik Denmark
Richard Charnigo United States
Aaron Lawson McLean Germany
Daniele Bottigliengo Italy
Jiehuan Sun relative to Louise A C Millard United Kingdom Louise A C Millard's profile →
Citations per field
00.5×2.6×
Louise A C Millard · 1×
Citations per year

Countries citing papers authored by Jiehuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jiehuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiehuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jiehuan Sun. A scholar is included among the top collaborators of Jiehuan 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 Jiehuan Sun. Jiehuan Sun 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
#WorkIndexed citations
1 2
2 6
3 0
4 9
5 4
6 3
7 8
8 11
9 15
10 18
11 68
12 6
13 56
14 15
15 9
16 3
17 12
18 131
19 29
20 9

About Jiehuan Sun

Jiehuan Sun is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology and Behavioral Neuroscience, having authored 29 papers that have together received 461 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Statistical Methods and Inference (6 papers) and Menstrual Health and Disorders (4 papers). The work is most often cited by research in Modeling and Simulation (31 citations), Genetics (130 citations) and Health Information Management (19 citations). Jiehuan Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hongyu Zhao, Qiongshi Lu, Kei‐Hoi Cheung, Yu‐Wei Cheng, Maria Argos, Molly Scannell Bryan, Daniel E. Horton, Jyotsna S. Jagai, Anastasia Montgomery and Robert M. Sargis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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