Song-Gui Wang

570 total citations
47 papers, 355 citations indexed

About

Song-Gui Wang is a scholar working on Statistics and Probability, Applied Mathematics and Management Science and Operations Research. According to data from OpenAlex, Song-Gui Wang has authored 47 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 11 papers in Applied Mathematics and 7 papers in Management Science and Operations Research. Recurrent topics in Song-Gui Wang's work include Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (13 papers) and Statistical Methods and Bayesian Inference (8 papers). Song-Gui Wang is often cited by papers focused on Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (13 papers) and Statistical Methods and Bayesian Inference (8 papers). Song-Gui Wang collaborates with scholars based in China, Hong Kong and United States. Song-Gui Wang's co-authors include Shein‐Chung Chow, Tiefeng Ma, Frank B. Martin, Angela Dean, Liwen Xu, Jun Shao, Erkki P. Liski, Chi‐Fang Wu, Hans Nyquist and Hu Yang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Song-Gui Wang

44 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song-Gui Wang China 11 214 64 61 59 52 47 355
Nobuo Shinozaki Japan 13 174 0.8× 75 1.2× 24 0.4× 37 0.6× 30 0.6× 39 397
Yves Romain France 6 259 1.2× 31 0.5× 45 0.7× 27 0.5× 28 0.5× 16 393
D. G. Kabe Canada 10 216 1.0× 26 0.4× 49 0.8× 38 0.6× 48 0.9× 92 347
Tarmo Pukkila Finland 13 214 1.0× 48 0.8× 52 0.9× 36 0.6× 65 1.3× 34 452
J. Kleffe Germany 11 270 1.3× 20 0.3× 55 0.9× 58 1.0× 87 1.7× 35 504
Jacques Dauxois France 8 273 1.3× 34 0.5× 53 0.9× 25 0.4× 29 0.6× 14 423
Sudhir Gupta United States 9 412 1.9× 40 0.6× 51 0.8× 81 1.4× 216 4.2× 40 706
M. C. Spruill United States 8 128 0.6× 42 0.7× 16 0.3× 48 0.8× 71 1.4× 28 265
Benoı̂t Cadre France 13 238 1.1× 35 0.5× 38 0.6× 33 0.6× 23 0.4× 28 507
Olaf Bunke United States 9 185 0.9× 15 0.2× 24 0.4× 45 0.8× 61 1.2× 33 400

Countries citing papers authored by Song-Gui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Song-Gui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Gui Wang. 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-Gui Wang. The network helps show where Song-Gui Wang may publish in the future.

Co-authorship network of co-authors of Song-Gui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Song-Gui Wang. A scholar is included among the top collaborators of Song-Gui Wang 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-Gui Wang. Song-Gui Wang 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.
Ma, Tiefeng, et al.. (2011). Improved anovae of the covariance matrix in general linear mixed models. Journal of Systems Science and Complexity. 24(1). 176–185. 1 indexed citations
2.
Xu, Liwen & Song-Gui Wang. (2010). Linear sufficiency in a general growth curve model. Linear Algebra and its Applications. 434(2). 593–604.
3.
Ma, Tiefeng, et al.. (2009). Generalized confidence intervals for the process capability indices in general random effect model with balanced data. Statistical Papers. 52(1). 153–169. 5 indexed citations
4.
Wang, Song-Gui, et al.. (2008). Generalized Inferences on the Common Mean in MANOVA Models. Communication in Statistics- Theory and Methods. 37(14). 2291–2303. 5 indexed citations
5.
Wang, Song-Gui. (2007). Test of variance components of linear mixed model. 2 indexed citations
6.
Wang, Song-Gui. (2007). Nonnegative Estimates of Variance Components in. Two Way Classification Models with Random Effects. Gongcheng shuxue xuebao. 1 indexed citations
7.
Shi, Jianhong & Song-Gui Wang. (2006). The Spectral Decomposition of Covariance Matrices for the Variance Components Models. Journal of Multivariate Analysis. 97(10). 2190–2205. 3 indexed citations
8.
Ip, Wai-Cheung, et al.. (2006). Estimation for parameters of interest in random effects growth curve models. Journal of Multivariate Analysis. 98(2). 317–327.
9.
Fang, Kai‐Tai, Song-Gui Wang, & Dietrich von Rosen. (2005). Restricted expected multivariate least squares. Journal of Multivariate Analysis. 97(3). 619–632. 4 indexed citations
10.
Wong, Heung, et al.. (2004). A GIC rule for assessing data transformation in regression. Statistics & Probability Letters. 68(1). 105–110. 2 indexed citations
11.
Wang, Song-Gui & Wai-Cheung Ip. (2003). Inconsistency of estimate of the degree of freedom of multivariate student-t disturbances in linear regression models. Economics Letters. 80(3). 383–389. 1 indexed citations
12.
Wang, Song-Gui, et al.. (2002). A new estimate of the parameters in linear mixed models. Science China Mathematics. 45(10). 1301–1311. 11 indexed citations
13.
Wang, Song-Gui, Erkki P. Liski, & Tapio Nummi. (1999). Two-way selection of covariables in multivariate growth curve models. Linear Algebra and its Applications. 289(1-3). 333–342.
14.
Wang, Song-Gui, et al.. (1999). A matrix version of the Wielandt inequality and its applications to statistics. Linear Algebra and its Applications. 296(1-3). 171–181. 22 indexed citations
15.
Liski, Erkki P. & Song-Gui Wang. (1996). On the {2}-inverse and some ordering properties of nonnegative definite matrices. Acta Mathematicae Applicatae Sinica English Series. 12(1). 22–27. 1 indexed citations
16.
Martin, Frank B., Song-Gui Wang, & Shein‐Chung Chow. (1995). Advanced Linear Models.. Journal of the American Statistical Association. 90(430). 802–802. 50 indexed citations
17.
Wang, Song-Gui, et al.. (1994). On the estimation of variance components in stability analysis. Communication in Statistics- Theory and Methods. 23(1). 289–303. 3 indexed citations
18.
Wang, Song-Gui & Erkki P. Liski. (1993). Effects of observations on the eigensystem of a sample covariance matrix. Journal of Statistical Planning and Inference. 36(2-3). 215–226. 7 indexed citations
19.
Wang, Song-Gui & Hu Yang. (1989). Kantorovich-type inequalities and the measures of inefficiency of the glse. Acta Mathematicae Applicatae Sinica English Series. 5(4). 372–381. 7 indexed citations
20.
Wang, Song-Gui. (1982). On biased linear estimators in models with arbitrary rank. Communication in Statistics- Theory and Methods. 11(14). 1571–1581. 1 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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