Yongsong Qin

885 total citations
62 papers, 484 citations indexed

About

Yongsong Qin is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Yongsong Qin has authored 62 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in Yongsong Qin's work include Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (16 papers). Yongsong Qin is often cited by papers focused on Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (16 papers). Yongsong Qin collaborates with scholars based in China, South Africa and Australia. Yongsong Qin's co-authors include Shichao Zhang, Chengqi Zhang, Jilian Zhang, Xiaofeng Zhu, Hua Liang, J. N. K. Rao, Choon Yik Tang, David Ruppert, Xinyu Zhang and Changbao Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Biometrika.

In The Last Decade

Yongsong Qin

54 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongsong Qin China	10	253	157	81	50	46	62	484
Myoungshic Jhun South Korea	13	368 1.5×	160 1.0×	44 0.5×	29 0.6×	12 0.3×	49	553
Haeran Cho United Kingdom	10	196 0.8×	101 0.6×	26 0.3×	92 1.8×	13 0.3×	24	438
Xin Dang United States	11	146 0.6×	190 1.2×	21 0.3×	27 0.5×	12 0.3×	44	462
Tiefeng Ma China	10	126 0.5×	97 0.6×	33 0.4×	21 0.4×	9 0.2×	50	274
Yingxing Li China	9	189 0.7×	74 0.5×	25 0.3×	90 1.8×	20 0.4×	33	412
Rosanna Verde Italy	11	68 0.3×	213 1.4×	58 0.7×	29 0.6×	34 0.7×	30	383
Qingfeng Liu China	11	143 0.6×	76 0.5×	23 0.3×	96 1.9×	9 0.2×	28	384
Gérard Gregoire France	10	203 0.8×	89 0.6×	129 1.6×	13 0.3×	12 0.3×	20	400
Louis R. Moore United States	8	64 0.3×	88 0.6×	109 1.3×	11 0.2×	53 1.2×	19	350

Countries citing papers authored by Yongsong Qin

Since Specialization

Citations

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

Fields of papers citing papers by Yongsong Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongsong Qin

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

All Works

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20 of 20 papers shown

Li, Yinghua & Yongsong Qin. (2021). Empirical likelihood for spatial dynamic panel data models. Journal of the Korean Statistical Society. 51(2). 500–525.

Li, Yinghua, Yongsong Qin, & Yuan Li. (2020). Empirical likelihood for nonparametric regression models with spatial autoregressive errors. Journal of the Korean Statistical Society. 50(2). 447–478. 2 indexed citations

Li, Yinghua, Yuan Li, & Yongsong Qin. (2020). Empirical likelihood for panel data models with spatial errors. Communication in Statistics- Theory and Methods. 51(9). 2838–2857. 1 indexed citations

Marange, Chioneso Show & Yongsong Qin. (2019). A moment-based empirical likelihood ratio test for exponentiality using the probability integral transformation. Journal of Applied Statistics. 46(15). 2786–2803. 4 indexed citations

Marange, Chioneso Show & Yongsong Qin. (2019). empirical likelihood ratio based comparative study on tests for normality of residuals in linear models. 16(1).

Qin, Yongsong, et al.. (2015). Empirical Bayes Test Problem in Continuous One-parameter Exponential Families under Dependent Samples. Sankhya A. 77(2). 364–379. 1 indexed citations

Qin, Yongsong, et al.. (2014). Confidence Intervals for Nonparametric Regression Functions with Missing Data. Communication in Statistics- Theory and Methods. 43(19). 4123–4142. 2 indexed citations

Qin, Yongsong, et al.. (2011). Confidence intervals for nonparametric regression functions under negatively associated errors. Journal of nonparametric statistics. 23(3). 645–659. 1 indexed citations

Qin, Yongsong, et al.. (2011). Quantile Estimation in the Presence of Auxiliary Information under Negatively Associated Samples. Communication in Statistics- Theory and Methods. 40(23). 4289–4307.

10.

Qin, Yongsong & Yinghua Li. (2011). Empirical Likelihood for Partially Linear Models with Missing Responses: The Fixed Design Case. Communication in Statistics- Theory and Methods. 40(10). 1849–1865. 2 indexed citations

11.

Qin, Yongsong & LI Jian-jun. (2010). Empirical likelihood for partially linear models with missing responses at random. Journal of nonparametric statistics. 23(2). 497–511. 1 indexed citations

12.

Qin, Yongsong, J. N. K. Rao, & Changbao Wu. (2010). Empirical likelihood confidence intervals for the Gini measure of income inequality. Economic Modelling. 27(6). 1429–1435. 29 indexed citations

13.

Qin, Yongsong & Yinghua Li. (2010). Empirical likelihood for linear models under negatively associated errors. Journal of Multivariate Analysis. 102(1). 153–163. 8 indexed citations

14.

Qin, Yongsong. (2009). Comparison of Methods to Handle Missing Values in Linear Models with Missing Data. 1 indexed citations

15.

Su, Haiyan, Yongsong Qin, & Hua Liang. (2009). Empirical Likelihood-Based Confidence Interval of ROC Curves. Statistics in Biopharmaceutical Research. 1(4). 407–414. 6 indexed citations

16.

Qin, Yongsong, et al.. (2009). A modified likelihood ratio test for homogeneity in bivariate normal mixtures of two samples. Journal of Systems Science and Complexity. 22(3). 460–468. 1 indexed citations

17.

Liang, Hua & Yongsong Qin. (2008). EMPIRICAL LIKELIHOOD‐BASED INFERENCES FOR PARTIALLY LINEAR MODELS WITH MISSING COVARIATES. Australian & New Zealand Journal of Statistics. 50(4). 347–359. 12 indexed citations

18.

Qin, Yongsong, et al.. (2007). Confidence intervals for marginal parameters under fractional linear regression imputation for missing data. Journal of Multivariate Analysis. 99(6). 1232–1259. 9 indexed citations

19.

Qin, Yongsong. (2006). Empirical Likelihood Confidence Intervals of Density Function under Dependent Samples.

20.

Zhang, Shichao, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, & Chengqi Zhang. (2006). Kernel-Based Multi-Imputation for Missing Data. UTS ePRESS (University of Technology Sydney). 106–111. 3 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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