Ruoxi Sun

893 citations
7 papers · 275 indexed · h-index 4
Topics
Cell Image Analysis Techniques (2 papers)Statistical Methods and Bayesian Inference (1 paper)Neural dynamics and brain function (1 paper)
Journals
CellPhysical Review LettersNeural Information Processing Systems
Partner nations
United StatesGermany

In The Last Decade

Ruoxi Sun

6 papers receiving 267 citations

Peers

Ruoxi Sun
Comparison fields: 5 of 69
  • Aging 104
  • Materials Chemistry 96
  • Molecular Biology 70
  • Endocrine and Autonomic Systems 49
  • Computational Theory and Mathematics 47
Replace Nika Erjavec with:
Nika Erjavec Sweden
Francesco Randi United States
Sudip Mondal United States
Alessandro Sanzeni United States
Stephen A. Waschuk Canada
Dougal Maclaurin United States
Jason K. Suen United States
Oleg Kanakov Russia
Janina Hesse Germany
Matteo Cantarelli United Kingdom
Ruoxi Sun relative to Nika Erjavec Sweden Nika Erjavec's profile →
Citations per field
00.5×9.4×
Nika Erjavec · 1×
Citations per year

Countries citing papers authored by Ruoxi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ruoxi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Sun

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Towards understanding retrosynthesis by energy-based models
13
2 119
3 134
4
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
1
5
Scalable Approximate Bayesian Inference for Particle Tracking Data.
1
6
Scalable Variational Inference for Super Resolution Microscopy
0
7 7

About Ruoxi Sun

Ruoxi Sun is a scholar working on Aging, Biophysics and Hardware and Architecture, having authored 7 papers that have together received 275 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Aging (104 citations), Endocrine and Autonomic Systems (49 citations) and Computational Theory and Mathematics (47 citations). Ruoxi Sun has collaborated with scholars based in United States and Germany. Frequent co-authors include Li Li, Ekin D. Cubuk, Patrick Riley, Kieron Burke, Ryan Pederson, Stephan Hoyer, Liam Paninski, Aravinthan D. T. Samuel, Amin Nejatbakhsh and Albert Lin. Their work appears in journals such as Cell, Physical Review Letters and Neural Information Processing Systems.

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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