Xiao Su

18 total papers · 1.3k total citations
13 papers, 891 citations indexed

About

Xiao Su is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Xiao Su has authored 13 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 3 papers in Artificial Intelligence. Recurrent topics in Xiao Su's work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods in Clinical Trials (4 papers) and Statistical Methods and Inference (3 papers). Xiao Su is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Methods in Clinical Trials (4 papers) and Statistical Methods and Inference (3 papers). Xiao Su collaborates with scholars based in United States and China. Xiao Su's co-authors include Xin Yan, Yong Chen, Rongqiao Wang, Jianxing Mao, Dianyin Hu, Xi Liu, Sheng Luo, Kelvin L. Chou, John C. Morgan and Haitao Chu and has published in prestigious journals such as Statistics in Medicine, Engineering Fracture Mechanics and JAMA Neurology.

In The Last Decade

Xiao Su

12 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Xiao Su 118 97 83 79 75 13 891
Valeria Vitelli 254 2.2× 83 0.9× 124 1.5× 49 0.6× 49 0.7× 46 894
C. H. Sim 84 0.7× 220 2.3× 35 0.4× 126 1.6× 24 0.3× 19 867
Geo Hahn 64 0.5× 119 1.2× 144 1.7× 182 2.3× 80 1.1× 4 920
Mark Ebden 281 2.4× 19 0.2× 69 0.8× 28 0.4× 33 0.4× 17 945
Marie‐Therese Puth 54 0.5× 39 0.4× 41 0.5× 20 0.3× 43 0.6× 30 1.0k
Sophie Lambert‐Lacroix 219 1.9× 188 1.9× 39 0.5× 56 0.7× 28 0.4× 32 938
Alan J. Lee 98 0.8× 144 1.5× 100 1.2× 45 0.6× 37 0.5× 19 961
Toby Lewis 270 2.3× 236 2.4× 25 0.3× 142 1.8× 26 0.3× 6 890
G. Enderlein 86 0.7× 134 1.4× 27 0.3× 57 0.7× 21 0.3× 58 878
G. N. Wilkinson 69 0.6× 209 2.2× 34 0.4× 53 0.7× 20 0.3× 17 1.1k

Countries citing papers authored by Xiao Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Su. A scholar is included among the top collaborators of Xiao Su 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 Xiao Su. Xiao Su 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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