Ruoxi Sun

893 total citations
7 papers, 275 citations indexed

About

Ruoxi Sun is a scholar working on Artificial Intelligence, Biophysics and Computer Networks and Communications. According to data from OpenAlex, Ruoxi Sun has authored 7 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Biophysics and 1 paper in Computer Networks and Communications. Recurrent topics in Ruoxi Sun's work include Cell Image Analysis Techniques (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Neural dynamics and brain function (1 paper). Ruoxi Sun is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Neural dynamics and brain function (1 paper). Ruoxi Sun collaborates with scholars based in United States and Germany. Ruoxi Sun's co-authors include Li Li, Ryan Pederson, Patrick Riley, Ekin D. Cubuk, Kieron Burke, Stephan Hoyer, Liam Paninski, Erdem Varol, Amin Nejatbakhsh and Eviatar Yemini and has published in prestigious journals such as Cell, Physical Review Letters and Neural Information Processing Systems.

In The Last Decade

Ruoxi Sun

6 papers receiving 267 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ruoxi Sun United States	4	104	96	70	49	47	7	275
Francesco Randi United States	10	80 0.8×	30 0.3×	20 0.3×	46 0.9×	2 0.0×	16	256
Nika Erjavec Sweden	6	300 2.9×	27 0.3×	634 9.1×	23 0.5×	5 0.1×	6	835
Sudip Mondal United States	9	134 1.3×	8 0.1×	123 1.8×	18 0.4×	5 0.1×	19	310
Dougal Maclaurin United States	8	8 0.1×	95 1.0×	182 2.6×	9 0.2×	10 0.2×	13	611
Stephen A. Waschuk Canada	8	7 0.1×	32 0.3×	321 4.6×	14 0.3×	9 0.2×	8	699
Alessandro Sanzeni United States	8	36 0.3×	6 0.1×	26 0.4×	25 0.5×	2 0.0×	10	217
David Fan United States	6	10 0.1×	70 0.7×	19 0.3×	10 0.2×		14	269
Oleg Kanakov Russia	12	5 0.0×	15 0.2×	57 0.8×	15 0.3×	3 0.1×	24	473
Janina Hesse Germany	9	10 0.1×	4 0.0×	62 0.9×	106 2.2×	9 0.2×	16	462
Edgar C. Young United States	11	6 0.1×	31 0.3×	799 11.4×	6 0.1×	8 0.2×	17	1.2k

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Sun, Ruoxi, Hanjun Dai, Li Li, Steven Kearnes, & Bo Dai. (2021). Towards understanding retrosynthesis by energy-based models. Neural Information Processing Systems. 34. 13 indexed citations

2.

Li, Li, Stephan Hoyer, Ryan Pederson, et al.. (2021). Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics. Physical Review Letters. 126(3). 36401–36401. 119 indexed citations

3.

Yemini, Eviatar, Albert Lin, Amin Nejatbakhsh, et al.. (2020). NeuroPAL: A Multicolor Atlas for Whole-Brain Neuronal Identification in C. elegans. Cell. 184(1). 272–288.e11. 134 indexed citations

4.

Sun, Ruoxi, Scott W. Linderman, Ian Kinsella, & Liam Paninski. (2019). Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models. Neural Information Processing Systems. 32. 10165–10174. 1 indexed citations

5.

Sun, Ruoxi & Liam Paninski. (2018). Scalable Approximate Bayesian Inference for Particle Tracking Data.. International Conference on Machine Learning. 4800–4809. 1 indexed citations

6.

Sun, Ruoxi, Evan Archer, & Liam Paninski. (2017). Scalable Variational Inference for Super Resolution Microscopy. International Conference on Artificial Intelligence and Statistics. 1057–1065.

7.

Sun, Ruoxi, et al.. (1987). Performance results on multiversion timestamp concurrency control with predeclared writesets. 177–184. 7 indexed citations

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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