Song Xi Chen

7.7k total citations
121 papers, 4.3k citations indexed

About

Song Xi Chen is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Song Xi Chen has authored 121 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 17 papers in Finance. Recurrent topics in Song Xi Chen's work include Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (27 papers) and Advanced Statistical Methods and Models (19 papers). Song Xi Chen is often cited by papers focused on Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (27 papers) and Advanced Statistical Methods and Models (19 papers). Song Xi Chen collaborates with scholars based in China, United States and Australia. Song Xi Chen's co-authors include Yingli Qin, Ping-Shou Zhong, Hengjian Cui, Cheng Yong Tang, Peter Hall, Jun Li, Lixin Zhang, Bin Guo, Ingrid Van Keilegom and Hui Huang and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Song Xi Chen

117 papers receiving 4.1k citations

Peers

Song Xi Chen
Song Xi Chen
Citations per year, relative to Song Xi Chen Song Xi Chen (= 1×) peers Dani Gamerman

Countries citing papers authored by Song Xi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Song Xi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Xi Chen. 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 Song Xi Chen. The network helps show where Song Xi Chen may publish in the future.

Co-authorship network of co-authors of Song Xi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Song Xi Chen. A scholar is included among the top collaborators of Song Xi Chen 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 Song Xi Chen. Song Xi Chen 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
1.
Chen, Song Xi, et al.. (2025). Segmented Linear Regression Trees. Acta Mathematica Sinica English Series. 41(2). 498–521.
3.
Zheng, Xiaogu, et al.. (2024). High‐dimensional ensemble Kalman filter with localization, inflation, and iterative updates. Quarterly Journal of the Royal Meteorological Society. 150(765). 4870–4884. 1 indexed citations
4.
Su, Wu, Binghao Wang, Han Y. H. Chen, et al.. (2024). A new global carbon flux estimation methodology by assimilation of both in situ and satellite CO2 observations. npj Climate and Atmospheric Science. 7(1). 1 indexed citations
6.
Chen, Song Xi, Yumou Qiu, & Shuyi Zhang. (2023). Sharp optimality for high-dimensional covariance testing under sparse signals. The Annals of Statistics. 51(5).
7.
Zhang, Ying, Song Xi Chen, & Le Bao. (2023). Air pollution estimation under air stagnation—A case study of Beijing. Environmetrics. 34(6). 3 indexed citations
8.
Sun, Haoxuan, et al.. (2021). Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model. Journal of Data Science. 455–472. 18 indexed citations
9.
Chen, Song Xi, et al.. (2019). Partitioning Structure Learning for Segmented Linear Regression Trees. Neural Information Processing Systems. 32. 2219–2228. 1 indexed citations
11.
Chen, Song Xi, et al.. (2016). More powerful tests for sparse high-dimensional covariances matrices. Journal of Multivariate Analysis. 149. 124–143. 9 indexed citations
12.
Chen, Song Xi, Liang Peng, & Cindy Yu. (2013). Parameter estimation and model testing for Markov processes via conditional characteristic functions. Bernoulli. 19(1). 6 indexed citations
13.
Chen, Song Xi. (2008). Nonparametric Estimation of Expected Shortfall. Iowa State University Digital Repository (Iowa State University). 6 indexed citations
14.
Chen, Song Xi, et al.. (2006). Smoothed Block Empirical Likelihood for Quantiles of Weakly Dependent Processes. Statistica Sinica. 19(1). 71. 31 indexed citations
15.
Chen, Song Xi & Cheng Yong Tang. (2005). Nonparametric Inference of Value-at-Risk for Dependent Financial Returns. Iowa State University Digital Repository (Iowa State University). 4 indexed citations
16.
Hall, Peter & Song Xi Chen. (2003). Effects of bagging and bias correction on estimators defined by estimating equations. Statistica Sinica. 11 indexed citations
17.
Chen, Song Xi, Paul Yip, & Yong Zhou. (2002). Sequential Estimation in Line Transect Surveys. Biometrics. 58(2). 263–269. 2 indexed citations
18.
Chen, Song Xi & Ann Cowling. (2001). Measurement Errors in Line Transect Surveys Where Detectability Varies with Distance and Size. Biometrics. 57(3). 732–742. 24 indexed citations
19.
Chen, Song Xi. (1994). Comparing Empirical Likelihood and Bootstrap Hypothesis Tests. Journal of Multivariate Analysis. 51(2). 277–293. 15 indexed citations
20.
Chen, Song Xi. (1994). Empirical Likelihood Confidence Intervals for Linear Regression Coefficients. Journal of Multivariate Analysis. 49(1). 24–40. 95 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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