Song-Gui Wang

557 citations
46 papers · 346 · h-index 10

Impact in

Papers in

    • Advanced Statistical Methods and Models 22
    • Statistical Methods and Inference 13
    • Statistical Methods and Bayesian Inference 8
    • Statistical Distribution Estimation and Applications 5
    • Statistical and numerical algorithms 7
    • Mathematical Inequalities and Applications 3

Song-Gui Wang

43 papers receiving 323 citations

Peers

Song-Gui Wang
Comparison fields: 5 of 66
  • Statistics and Probability 210
  • Statistics, Probability and Uncertainty 59
  • Applied Mathematics 60
  • Management Science and Operations Research 51
  • Computational Theory and Mathematics 64
Replace Tarmo Pukkila with:
Tarmo Pukkila Finland
Yves Romain France
D. G. Kabe Canada
Nobuo Shinozaki Japan
Hisao Nagao Japan
Ivan Mizera Canada
Yannick Baraud France
M. C. Spruill United States
Andrej Pázman Slovakia
Minoru Siotani Japan
Song-Gui Wang relative to Tarmo Pukkila Finland Tarmo Pukkila's profile →
Citations per field
00.5×1.5×2.2×
Tarmo Pukkila · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Song-Gui Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Song-Gui Wang Line = papers co-authored together Song-Gui Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199550
2 200940
3 199533
4 199922
5 198420
6 199213
7 199111
8 200711
9 200810
10 199210
11 20089
12 20078
13 19908
14 20098
15 19897
16 19937
17 20036
18 20016
19 20085
20 20095

About Song-Gui Wang

Song-Gui Wang is a scholar working on Statistics and Probability, Applied Mathematics, Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 46 papers that have together received 346 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (22 papers), Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (8 papers), Statistical and numerical algorithms (7 papers), Matrix Theory and Algorithms (6 papers), Statistical Distribution Estimation and Applications (5 papers), Optimal Experimental Design Methods (5 papers) and Mathematical Inequalities and Applications (3 papers). The work is most often cited by research in Statistics and Probability (210 citations), Statistics, Probability and Uncertainty (59 citations), Applied Mathematics (60 citations), Management Science and Operations Research (51 citations) and Computational Theory and Mathematics (64 citations). Song-Gui Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shein‐Chung Chow, Tiefeng Ma, Frank B. Martin, Angela Dean, Liwen Xu, Chi‐Fang Wu, Erkki P. Liski, Jun Shao, Hans Nyquist and Hu Yang. Their work appears in journals such as Journal of Multivariate Analysis, Journal of Statistical Planning and Inference, Linear Algebra and its Applications, The Annals of Statistics and Computational Statistics & Data Analysis.

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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