Guoxing Soon

595 total citations
25 papers, 388 citations indexed

About

Guoxing Soon is a scholar working on Statistics and Probability, Infectious Diseases and Management Science and Operations Research. According to data from OpenAlex, Guoxing Soon has authored 25 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 4 papers in Infectious Diseases and 4 papers in Management Science and Operations Research. Recurrent topics in Guoxing Soon's work include Statistical Methods in Clinical Trials (17 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Inference (10 papers). Guoxing Soon is often cited by papers focused on Statistical Methods in Clinical Trials (17 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Inference (10 papers). Guoxing Soon collaborates with scholars based in United States, Netherlands and South Africa. Guoxing Soon's co-authors include Lei Nie, Zhiwei Zhang, Harry W. Haverkos, Wallace B. Pickworth, Haitao Chu, Robert L Kane, Beth A Virnig, James D. Neaton, Bradley P. Carlin and Chenguang Wang and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Statistics in Medicine.

In The Last Decade

Guoxing Soon

25 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxing Soon United States 11 178 79 68 65 50 25 388
Jon A. Steingrimsson United States 12 199 1.1× 71 0.9× 72 1.1× 59 0.9× 34 0.7× 61 481
Ivan S. F. Chan United States 7 184 1.0× 44 0.6× 79 1.2× 29 0.4× 38 0.8× 18 431
Joshua Chen United States 12 172 1.0× 92 1.2× 51 0.8× 66 1.0× 15 0.3× 32 483
Frank Mannino United States 8 77 0.4× 46 0.6× 34 0.5× 35 0.5× 22 0.4× 14 366
X. Joan Hu Canada 10 172 1.0× 34 0.4× 31 0.5× 43 0.7× 9 0.2× 40 407
Matthew A. Psioda United States 11 149 0.8× 48 0.6× 65 1.0× 50 0.8× 16 0.3× 46 380
Lionel Van Holle Belgium 11 53 0.3× 42 0.5× 79 1.2× 69 1.1× 11 0.2× 17 385
Mark J. van der Laan United States 5 583 3.3× 110 1.4× 30 0.4× 37 0.6× 10 0.2× 8 747
Cheryl L. Faucett United States 8 295 1.7× 54 0.7× 23 0.3× 12 0.2× 8 0.2× 12 596
Weichung Joseph Shih United States 10 376 2.1× 120 1.5× 34 0.5× 33 0.5× 100 2.0× 14 553

Countries citing papers authored by Guoxing Soon

Since Specialization
Citations

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

Fields of papers citing papers by Guoxing Soon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxing Soon

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxing Soon. A scholar is included among the top collaborators of Guoxing Soon 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 Guoxing Soon. Guoxing Soon 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, Chenguang, Min Lin, Gary L. Rosner, & Guoxing Soon. (2022). A Bayesian Model with Application for Adaptive Platform Trials Having Temporal Changes. Biometrics. 79(2). 1446–1458. 6 indexed citations
2.
Zhang, Zhiwei, Shujie Ma, Lei Nie, & Guoxing Soon. (2017). A Quantitative Concordance Measure for Comparing and Combining Treatment Selection Markers. The International Journal of Biostatistics. 13(1). 1 indexed citations
3.
Liu, Wei, Zhiwei Zhang, Lei Nie, & Guoxing Soon. (2017). A Case Study in Personalized Medicine: Rilpivirine Versus Efavirenz for Treatment-Naive HIV Patients. Journal of the American Statistical Association. 112(520). 1381–1392. 7 indexed citations
5.
Zhang, Zhiwei, et al.. (2017). Treatment evaluation for a data‐driven subgroup in adaptive enrichment designs of clinical trials. Statistics in Medicine. 37(1). 1–11. 15 indexed citations
6.
Zhang, Zhiwei, Lei Nie, Guoxing Soon, & Zonghui Hu. (2015). New Methods for Treatment Effect Calibration, with Applications to Non-Inferiority Trials. Biometrics. 72(1). 20–29. 19 indexed citations
7.
Zhang, Zhiwei, Lei Nie, Guoxing Soon, & Aiyi Liu. (2014). The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework. The Annals of Applied Statistics. 8(4). 2336–2355. 10 indexed citations
8.
Carlin, Bradley P., James D. Neaton, Guoxing Soon, et al.. (2013). Network meta-analysis of randomized clinical trials: Reporting the proper summaries. Clinical Trials. 11(2). 246–262. 89 indexed citations
9.
Zhang, Zhiwei, Chenguang Wang, Lei Nie, & Guoxing Soon. (2013). Assessing the Heterogeneity of Treatment Effects via Potential Outcomes of Individual Patients. Journal of the Royal Statistical Society Series C (Applied Statistics). 62(5). 687–704. 22 indexed citations
10.
Nie, Lei, Guoxing Soon, Karen Qi, Yong Chen, & Haitao Chu. (2013). A Note on Partial Covariate-Adjustment and Design Considerations in Noninferiority Trials When Patient-Level Data are not Available. Journal of Biopharmaceutical Statistics. 23(5). 1042–1053. 1 indexed citations
11.
Zhang, Zhiwei, et al.. (2013). Use of auxiliary covariates in estimating a biomarker-adjusted treatment effect model with clinical trial data. Statistical Methods in Medical Research. 25(5). 2103–2119. 7 indexed citations
12.
Soon, Guoxing, Min Min, Kimberly Struble, et al.. (2012). Meta-Analysis of Gender Differences in Efficacy Outcomes for HIV-Positive Subjects in Randomized Controlled Clinical Trials of Antiretroviral Therapy (2000–2008). AIDS Patient Care and STDs. 26(8). 444–453. 56 indexed citations
13.
Soon, Guoxing, Lei Nie, Thomas Hammerstrom, Wen Zeng, & Haitao Chu. (2011). Meeting the demand for more sophisticated study designs. A proposal for a new type of clinical trial: the hybrid design. BMJ Open. 1(2). e000156–e000156. 1 indexed citations
14.
Nie, Lei & Guoxing Soon. (2010). A covariate‐adjustment regression model approach to noninferiority margin definition. Statistics in Medicine. 29(10). 1107–1113. 12 indexed citations
15.
Jadhav, Pravin, Jeff Florian, Ying Chen, et al.. (2010). Antiviral Information Management System (AIMS): A Prototype for Operational Innovation in Drug Development. The Journal of Clinical Pharmacology. 50(S9). 50S–55S. 7 indexed citations
16.
Soon, Guoxing, et al.. (2010). An adaptive noninferiority margin and sample size adjustment in covariate-adjustment regression model approach to noninferiority clinical trials. Model Assisted Statistics and Applications. 5(3). 169–177. 1 indexed citations
17.
Struble, Kimberly, Kirk M. Chan‐Tack, & Guoxing Soon. (2008). Regulatory issues in developing new HIV protease inhibitors: risks and benefits. Current Opinion in HIV and AIDS. 3(6). 676–680. 2 indexed citations
18.
Haverkos, Harry W., et al.. (2003). Cigarette smoking and cervical cancer: Part I: a meta-analysis. Biomedicine & Pharmacotherapy. 57(2). 67–77. 56 indexed citations
19.
Soon, Guoxing & Michael Woodroofe. (1996). Nonparametric estimation and consistency for renewal processes. Journal of Statistical Planning and Inference. 53(2). 171–195. 12 indexed citations
20.
Soon, Guoxing. (1995). Large sample theory of empirical distributions in a window censoring model for renewal processes.. Deep Blue (University of Michigan). 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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