Yangxin Huang

2.2k total citations
117 papers, 1.5k citations indexed

About

Yangxin Huang is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Yangxin Huang has authored 117 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 39 papers in Artificial Intelligence and 16 papers in Infectious Diseases. Recurrent topics in Yangxin Huang's work include Statistical Methods and Bayesian Inference (52 papers), Bayesian Methods and Mixture Models (38 papers) and Statistical Methods and Inference (29 papers). Yangxin Huang is often cited by papers focused on Statistical Methods and Bayesian Inference (52 papers), Bayesian Methods and Mixture Models (38 papers) and Statistical Methods and Inference (29 papers). Yangxin Huang collaborates with scholars based in United States, China and Canada. Yangxin Huang's co-authors include Hulin Wu, Getachew Dagne, Dacheng Liu, Susan L. Rosenkranz, Lang Wu, Henian Chen, Grace Y. Yi, Hanze Zhang, Wei Liu and Edward P. Acosta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Yangxin Huang

107 papers receiving 1.5k citations

Peers

Yangxin Huang

VIROL

Xiao Song United States

Lang Wu Canada

Xing Qiu United States

Ronald W. Helms United States

Beat Neuenschwander Switzerland

Victor DeGruttola United States

Cong Han United States

Jiangang Liao United States

Wei Tan United States

John Dennis United Kingdom

Xiao Song United States

Yangxin Huang

582 ×1.1

167 ×0.5

36 ×0.1

VIROL

77 ×0.3

229 ×1.0

Citations per year, relative to Yangxin Huang Yangxin Huang (= 1×) peers Xiao Song

Countries citing papers authored by Yangxin Huang

Since Specialization

Citations

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

Fields of papers citing papers by Yangxin Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangxin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yangxin Huang. A scholar is included among the top collaborators of Yangxin Huang 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 Yangxin Huang. Yangxin Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Huang, Yangxin, et al.. (2025). Co-Activation Pattern Analysis Based on Hidden Semi-Markov Model for Brain Spatiotemporal Dynamics. IEEE Transactions on Medical Imaging. 45(2). 843–852.

Wang, Jinjing, Jiaqing Chen, Feng Gu, et al.. (2025). Bayesian weighted composite quantile regression for multivariate semi-continuous longitudinal data. Communication in Statistics- Theory and Methods. 55(4). 1189–1215.

Huang, Yangxin, et al.. (2024). NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis. Medical Image Analysis. 97. 103290–103290. 1 indexed citations

Wang, Hsiao‐Lan, Susan C. McMillan, Nisha Vijayakumar, et al.. (2018). A Behavioral Physical Activity Intervention to Manage Moderate and Severe Fatigue Among Head and Neck Cancer Patients—Pre-efficacy Study in the National Institutes of Health ORBIT Model. Cancer Nursing. 42(1). E1–E14. 26 indexed citations

Zesiewicz, Theresa A., J. Stephenson, Seok Hun Kim, et al.. (2017). Longitudinal gait and balance decline in Friedreich’s Ataxia: A pilot study. Gait & Posture. 55. 25–30. 12 indexed citations

Huang, Yangxin, et al.. (2017). Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies. Lifetime Data Analysis. 24(4). 699–718. 10 indexed citations

Huang, Yangxin, et al.. (2015). A mixture of hierarchical joint models for longitudinal data with heterogeneity, non-normality, missingness, and covariate measurement error. Journal of Biopharmaceutical Statistics. 26(2). 299–322. 3 indexed citations

Huang, Yangxin, Ren Chen, Getachew Dagne, Yiliang Zhu, & Henian Chen. (2014). Bayesian Bivariate Linear Mixed-Effects Models with Skew-Normal/Independent Distributions, with Application to AIDS Clinical Studies. Journal of Biopharmaceutical Statistics. 25(3). 373–396. 1 indexed citations

Huang, Yangxin, X. Joan Hu, & Getachew Dagne. (2013). Jointly modeling time-to-event and longitudinal data: a Bayesian approach. Statistical Methods & Applications. 23(1). 95–121. 8 indexed citations

10.

Dagne, Getachew & Yangxin Huang. (2012). Bayesian inference for a nonlinear mixed-effects Tobit model with multivariate skew-t distributions: application to AIDS studies. The International Journal of Biostatistics. 8(1). 9 indexed citations

11.

Huang, Yangxin, et al.. (2012). Mixed-Effects Joint Models with Skew-Normal Distribution for HIV Dynamic Response with Missing and Mismeasured Time-Varying Covariate. The International Journal of Biostatistics. 8(1). 11 indexed citations

12.

Huang, Yangxin. (2010). A Bayesian approach in differential equation dynamic models incorporating clinical factors and covariates. Journal of Applied Statistics. 37(2). 181–199. 3 indexed citations

13.

Huang, Yangxin, Hulin Wu, & Edward P. Acosta. (2010). Hierarchical Bayesian inference for HIV dynamic differential equation models incorporating multiple treatment factors. Biometrical Journal. 52(4). 470–486. 28 indexed citations

14.

Huang, Yangxin, Hua Liang, & Hulin Wu. (2008). Identifying significant covariates for anti‐HIV treatment response: Mechanism‐based differential equation models and empirical semiparametric regression models. Statistics in Medicine. 27(23). 4722–4739. 4 indexed citations

15.

Huang, Yangxin & Hulin Wu. (2006). A Bayesian approach for estimating antiviral efficacy in HIV dynamic models. Journal of Applied Statistics. 33(2). 155–174. 41 indexed citations

16.

Wu, Hulin, Yangxin Huang, Edward P. Acosta, et al.. (2006). Pharmacodynamics of Antiretroviral Agents in HIV-1 Infected Patients: Using Viral Dynamic Models that Incorporate Drug Susceptibility and Adherence. Journal of Pharmacokinetics and Pharmacodynamics. 33(4). 399–419. 32 indexed citations

17.

Wu, Hulin, Yangxin Huang, Edward P. Acosta, et al.. (2005). Modeling Long-Term HIV Dynamics and Antiretroviral Response. JAIDS Journal of Acquired Immune Deficiency Syndromes. 39(3). 272–283. 66 indexed citations

18.

Huang, Yangxin, Dacheng Liu, & Hulin Wu. (2005). Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System. Biometrics. 62(2). 413–423. 169 indexed citations

19.

Huang, Yangxin, Susan L. Rosenkranz, & Hulin Wu. (2003). Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity. Mathematical Biosciences. 184(2). 165–186. 95 indexed citations

20.

Huang, Yangxin. (2001). VARIOUS METHODS OF INTERVAL ESTIMATION OF THE MEDIAN EFFECTIVE DOSE. Communications in Statistics - Simulation and Computation. 30(1). 99–112. 2 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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