Shu Yang

3.2k total citations · 1 hit paper
111 papers, 1.8k citations indexed

About

Shu Yang is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Shu Yang has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistics and Probability, 18 papers in Economics and Econometrics and 10 papers in Artificial Intelligence. Recurrent topics in Shu Yang's work include Statistical Methods and Inference (61 papers), Advanced Causal Inference Techniques (55 papers) and Statistical Methods and Bayesian Inference (44 papers). Shu Yang is often cited by papers focused on Statistical Methods and Inference (61 papers), Advanced Causal Inference Techniques (55 papers) and Statistical Methods and Bayesian Inference (44 papers). Shu Yang collaborates with scholars based in United States, China and Canada. Shu Yang's co-authors include Daihai He, Lin Yang, Qianying Lin, Weiming Wang, Yongli Cai, Salihu S. Musa, Yijun Lou, Shi Zhao, Daozhou Gao and Maggie Haitian Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Shu Yang

96 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action

2020 761 citations Qianying Lin, Shu Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Yang United States	19	587	485	398	342	225	111	1.8k
Cathy W. S. Chen Taiwan	27	236 0.4×	550 1.1×	1.1k 2.7×	164 0.5×	120 0.5×	138	2.4k
Meng Sha China	18	341 0.6×	104 0.2×	232 0.6×	714 2.1×	134 0.6×	80	2.7k
Temesgen Zewotir South Africa	22	100 0.2×	149 0.3×	122 0.3×	526 1.5×	374 1.7×	173	2.2k
Jonathan Wakefield United States	19	98 0.2×	346 0.7×	368 0.9×	77 0.2×	100 0.4×	55	1.7k
Paul Gustafson Canada	31	75 0.1×	1.5k 3.2×	491 1.2×	211 0.6×	223 1.0×	194	3.6k
Leonardo Soares Bastos Brazil	21	292 0.5×	51 0.1×	105 0.3×	572 1.7×	518 2.3×	91	1.8k
Jorien Veldwijk Netherlands	24	105 0.2×	85 0.2×	854 2.1×	150 0.4×	252 1.1×	103	1.9k
Puneet Kumar Gupta India	13	117 0.2×	131 0.3×	100 0.3×	84 0.2×	99 0.4×	40	790
Leonhard Knorr‐Held Germany	13	144 0.2×	515 1.1×	597 1.5×	41 0.1×	121 0.5×	26	1.5k
M. D. Ugarte Spain	25	106 0.2×	475 1.0×	632 1.6×	23 0.1×	72 0.3×	126	2.3k

Countries citing papers authored by Shu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yang. A scholar is included among the top collaborators of Shu Yang 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 Shu Yang. Shu Yang 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

Cheng, Peng, Wang Wei, & Shu Yang. (2024). Doing the right thing: How to persuade travelers to adopt pro-environmental behaviors? An elaboration likelihood model perspective. Journal of Hospitality and Tourism Management. 59. 191–209. 19 indexed citations

Wang, Hengfang, et al.. (2024). Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness. Journal of Computational and Graphical Statistics. 33(4). 1320–1328.

Lee, Dasom, et al.. (2024). Transporting survival of an HIV clinical trial to the external target populations. Journal of Biopharmaceutical Statistics. 34(6). 922–943. 5 indexed citations

Kong, Dehan, et al.. (2024). Functional principal component analysis with informative observation times. Biometrika. 112(1). asae055–asae055.

Smith, Bonnie G., Y. S. Gao, Shu Yang, et al.. (2024). Semi-parametric sensitivity analysis for trials with irregular and informative assessment times. Biometrics. 80(4). 1 indexed citations

Coulombe, Janie & Shu Yang. (2024). Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations. Biometrics. 80(3). 2 indexed citations

Yang, Shu, et al.. (2022). Double score matching in observational studies with multi-level treatments. Communications in Statistics - Simulation and Computation. 53(8). 3948–3964. 2 indexed citations

Yang, Shu, et al.. (2022). Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data. Journal of Computational and Graphical Statistics. 32(3). 1036–1045. 9 indexed citations

Rappold, Ana G., et al.. (2022). Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread. Spatial Statistics. 52. 100711–100711. 3 indexed citations

10.

Yang, Shu, et al.. (2022). Multiply robust matching estimators of average and quantile treatment effects. Scandinavian Journal of Statistics. 50(1). 235–265. 7 indexed citations

11.

Reich, Brian J., et al.. (2022). Generalized Propensity Score Approach to Causal Inference with Spatial Interference. Biometrics. 79(3). 2220–2231. 16 indexed citations

12.

Yang, Shu, et al.. (2021). SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale. Biometrics. 79(1). 230–240. 10 indexed citations

13.

Yang, Shu, et al.. (2021). Practical recommendations on double score matching for estimating causal effects. Statistics in Medicine. 41(8). 1421–1445. 8 indexed citations

14.

Reich, Brian J., et al.. (2021). A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications. International Statistical Review. 89(3). 605–634. 8 indexed citations

15.

Reich, Brian J., et al.. (2021). A Review of Spatial Causal Inference\nMethods for Environmental and\nEpidemiological Applications. Insecta mundi. 49 indexed citations

16.

Kong, Dehan, Shu Yang, & Linbo Wang. (2021). Identifiability of causal effects with multiple causes and a binary outcome. Biometrika. 109(1). 265–272. 3 indexed citations

17.

Yang, Shu. (2019). Flexible Imputation of Missing Data, 2nd ed.. Journal of the American Statistical Association. 114(527). 1421–1421. 75 indexed citations

18.

Yang, Shu, Alice P. Y. Chiu, Qianying Lin, et al.. (2018). HIV epidemics in Shenzhen and Chongqing, China. PLoS ONE. 13(2). e0192849–e0192849. 24 indexed citations

19.

Yang, Shu, Anastasios A. Tsiatis, & Michael A. Blazing. (2018). Modeling Survival Distribution as a Function of Time to Treatment Discontinuation: A Dynamic Treatment Regime Approach. Biometrics. 74(3). 900–909. 12 indexed citations

20.

Kim, Jae Kwang & Shu Yang. (2014). Fractional hot deck imputation for robust inference under item nonresponse in survey sampling. Iowa State University Digital Repository (Iowa State University). 4 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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