Yining Wang

1.1k total citations · 1 hit paper
30 papers, 848 citations indexed

About

Yining Wang is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Yining Wang has authored 30 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Yining Wang's work include Statistical Methods in Clinical Trials (11 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Distribution Estimation and Applications (6 papers). Yining Wang is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Distribution Estimation and Applications (6 papers). Yining Wang collaborates with scholars based in United States, Australia and United Kingdom. Yining Wang's co-authors include Conrad F. Shamlaye, Anna L. Choi, Larry L. Needham, Gary J. Myers, Elsa Cernichiari, Thomas W. Clarkson, C. Cox, Jean Sloane-Reeves, Philip W. Davidson and Catherine D. Axtell and has published in prestigious journals such as JAMA, Circulation and Journal of the American Statistical Association.

In The Last Decade

Yining Wang

25 papers receiving 799 citations

Hit Papers

Effects of Prenatal and Postnatal Methylmercury Exposure ... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yining Wang United States 9 462 114 112 90 85 30 848
C. Cox United States 13 682 1.5× 44 0.4× 33 0.3× 26 0.3× 9 0.1× 21 969
Joseph L. Ciminera United States 9 79 0.2× 86 0.8× 225 2.0× 30 0.3× 19 0.2× 22 674
Edward D. Helton United States 16 64 0.1× 191 1.7× 6 0.1× 68 0.8× 22 0.3× 32 787
MD Rawlins United Kingdom 15 20 0.0× 76 0.7× 18 0.2× 68 0.8× 54 0.6× 35 717
Judi Weissinger United States 11 53 0.1× 93 0.8× 87 0.8× 20 0.2× 17 0.2× 22 448
G Plomteux Belgium 15 283 0.6× 127 1.1× 13 0.1× 33 0.4× 17 0.2× 51 815
Elisa Giani Italy 14 47 0.1× 96 0.8× 6 0.1× 49 0.5× 42 0.5× 29 725
Steven A. Claas United States 20 152 0.3× 542 4.8× 7 0.1× 169 1.9× 266 3.1× 37 1.3k
G E Dinse United States 11 160 0.3× 19 0.2× 51 0.5× 13 0.1× 6 0.1× 13 400
Anthony B. Miller Canada 13 111 0.2× 114 1.0× 7 0.1× 109 1.2× 4 0.0× 15 1.1k

Countries citing papers authored by Yining Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yining Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yining Wang. A scholar is included among the top collaborators of Yining 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 Yining Wang. Yining 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.
Wang, Yining, et al.. (2025). Lack of reproducibility of trial sequential analyses: a meta-epidemiological study. Trials. 26(1). 93–93. 1 indexed citations
3.
Shih, Weichung Joe, Gang Li, & Yining Wang. (2015). Methods for flexible sample-size design in clinical trials: Likelihood, weighted, dual test, and promising zone approaches. Contemporary Clinical Trials. 47. 40–48. 9 indexed citations
4.
Tanaka, Yoko, Gang Li, Yining Wang, & Josh Chen. (2012). Qualitative Consistency of Treatment Effects in Multiregional Clinical Trials. Journal of Biopharmaceutical Statistics. 22(5). 988–1000. 6 indexed citations
5.
Li, Gang, et al.. (2009). Interim Treatment Selection in Drug Development. Statistics in Biosciences. 1(2). 268–288. 4 indexed citations
6.
Wang, Yining & Gang Li. (2002). A dose finding procedure based on the multivariate likelihood ratio test. Journal of Statistical Planning and Inference. 104(2). 417–425. 1 indexed citations
7.
Gupta, Arjun K., et al.. (2001). Identifiability of Modified Power Series Mixtures via Posterior Means. Journal of Multivariate Analysis. 77(2). 163–174. 2 indexed citations
8.
Wang, Yining & Michael P. McDermott. (2001). Uniformly more powerful tests for hypotheses about linear inequalities when the variance is unknown. Proceedings of the American Mathematical Society. 129(10). 3091–3100.
9.
Li, Gang, et al.. (2001). Tests of a normal mean vector with hypotheses determined by linear inequalities. Journal of Statistical Computation and Simulation. 70(4). 289–298. 2 indexed citations
10.
Gupta, Arjun K., et al.. (2000). A characterization of the multivariate discrete exponential family. Stochastic Analysis and Applications. 18(3). 417–427. 1 indexed citations
11.
Gupta, Arjun K. & Yining Wang. (1999). Some tests with specified size for the behrens-fisher problem. Communication in Statistics- Theory and Methods. 28(3-4). 511–517. 5 indexed citations
12.
Gupta, Arjun K., et al.. (1999). On maximum likelihood estimation of the binomial parameter n. Canadian Journal of Statistics. 27(3). 599–606. 2 indexed citations
13.
Wang, Yining & Michael P. McDermott. (1998). A Conditional Test for a Non-negative Mean Vector Based on a Hotelling'sT2-Type Statistic. Journal of Multivariate Analysis. 66(1). 64–70. 8 indexed citations
14.
Davidson, Philip W., Gary J. Myers, C. Cox, et al.. (1998). Effects of Prenatal and Postnatal Methylmercury Exposure From Fish Consumption on Neurodevelopment. JAMA. 280(8). 701–701. 543 indexed citations breakdown →
15.
Wang, Yining, et al.. (1998). Conditional Likelihood Ratio Test for a Nonnegative Normal Mean Vector. Journal of the American Statistical Association. 93(441). 380–380. 9 indexed citations
16.
Gupta, Arjun K., et al.. (1997). Characterizations of some continuous distributions. Statistical Methods & Applications. 6(1). 59–65.
17.
Wang, Yining. (1996). Estimation problems for the two-parameter negative binomial distribution. Statistics & Probability Letters. 26(2). 113–114. 4 indexed citations
18.
Wang, Yining, et al.. (1996). Characterization theorems for some discrete distributions based on conditional structure. Canadian Journal of Statistics. 24(2). 257–262. 1 indexed citations
19.
Gupta, Arjun K. & Yining Wang. (1995). A condition for the nonexistence of ancillary statistics. Statistics & Probability Letters. 23(4). 367–369. 1 indexed citations
20.
Wang, Yining, et al.. (1994). Characterizations of multinomial distributions based on conditional distributions. International Journal of Mathematics and Mathematical Sciences. 19(3). 595–602. 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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