Suojin Wang

3.6k total citations
168 papers, 2.6k citations indexed

About

Suojin Wang is a scholar working on Statistics and Probability, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Suojin Wang has authored 168 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Statistics and Probability, 31 papers in General Health Professions and 28 papers in Artificial Intelligence. Recurrent topics in Suojin Wang's work include Statistical Methods and Inference (57 papers), Statistical Methods and Bayesian Inference (54 papers) and Advanced Statistical Methods and Models (25 papers). Suojin Wang is often cited by papers focused on Statistical Methods and Inference (57 papers), Statistical Methods and Bayesian Inference (54 papers) and Advanced Statistical Methods and Models (25 papers). Suojin Wang collaborates with scholars based in United States, China and Saudi Arabia. Suojin Wang's co-authors include Robert J. Buchanan, C. Y. Wang, Marcia G. Ory, Raymond J. Carroll, Chunfeng Huang, Chanam Lee, Myungsuk Kim, Abdulhakim A. Qahtan, Xiangliang Zhang and Naisyin Wang and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Suojin Wang

159 papers receiving 2.5k citations

Peers

Suojin Wang
Comparison fields: 5 of 169
  • Statistics and Probability 902
  • Artificial Intelligence 351
  • Public Health, Environmental and Occupational Health 328
  • General Health Professions 308
  • Economics and Econometrics 257
Replace Toshiro Tango with:
Toshiro Tango Japan
Purushottam W. Laud United States
Brian Neelon United States
Peter X.‐K. Song United States
Johannes Ledolter United States
Jeff Goldsmith United States
Shaun R. Seaman United Kingdom
Paul Gustafson Canada
Gianluca Baio United Kingdom
Donglin Zeng United States
Toshiro Tango Japan View profile →
Citations per field, relative to Suojin Wang
Suojin Wang · 1×
Citations per year, relative to Suojin Wang
Suojin Wang · 1×

Countries citing papers authored by Suojin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suojin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suojin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Suojin Wang. A scholar is included among the top collaborators of Suojin 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 Suojin Wang. Suojin 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
# Work Indexed citations
1 0
2 1
3 14
4 18
5 12
6 16
7
Urban/rural differences in access and barriers to health care for people with multiple sclerosis.
29
8 28
9
TESTING LACK-OF-FIT OF PARAMETRIC REGRESSION MODELS USING NONPARAMETRIC REGRESSION TECHNIQUES
10
10 15
11 26
12 17
13 3
14 9
15 20
16 33
17 6
18
Confidence regions in non-parametric regression
12
19 8
20 6

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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