Miao Yang

579 total citations
26 papers, 402 citations indexed

About

Miao Yang is a scholar working on Statistics and Probability, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Miao Yang has authored 26 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 4 papers in Computer Networks and Communications. Recurrent topics in Miao Yang's work include Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). Miao Yang is often cited by papers focused on Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). Miao Yang collaborates with scholars based in United States, China and Italy. Miao Yang's co-authors include Lifang Deng, Katerina M. Marcoulides, Ke‐Hai Yuan, Errol J. Philip, Thomas V. Merluzzi, Steven J. Knapp, Carolyn A. Heitzmann, Claire C. Conley, Haiyan Liu and Samantha Serpentini and has published in prestigious journals such as Genetics, Statistics in Medicine and Frontiers in Psychology.

In The Last Decade

Miao Yang

24 papers receiving 389 citations

Peers

Miao Yang

SPS

ONCOL

MSOR

PPCH

Nathaniel Graham United States

Sharon Fraser Australia

Jack Reynolds Australia

Jorge López Puga Spain

Steffen Kühnel Germany

Wendy Smith United States

Gabriel T. W. Wong Australia

Kimihiko Yamagishi Japan

Susan B. Gerber United States

Amy MacDonald Australia

Nathaniel Graham United States

Miao Yang

79 ×1.0

SPS

12 ×0.2

ONCOL

19 ×0.4

MSOR

19 ×0.4

PPCH

27 ×0.6

Citations per year, relative to Miao Yang Miao Yang (= 1×) peers Nathaniel Graham

Countries citing papers authored by Miao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Miao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Yang

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

Yang, Miao, et al.. (2023). From Logic-Respecting Efficacy Estimands to Logic-Ensuring Analysis Principle for Time-to-Event Endpoint in Randomized Clinical Trials with Subgroups. Statistics in Biopharmaceutical Research. 15(3). 560–573.

Wang, Yuhan, et al.. (2023). Identification of prognostic immune subtypes of lung squamous cell carcinoma by unsupervised consistent clustering. Medicine. 102(37). e35123–e35123. 1 indexed citations

Yang, Zhongyi, Meng Jin, Ran Ding, et al.. (2023). Identification of cytokine-predominant immunosuppressive class and prognostic risk signatures in glioma. Journal of Cancer Research and Clinical Oncology. 149(14). 13185–13200. 3 indexed citations

Yang, Miao, et al.. (2023). Cognitive rationalization in occupational fraud: structure exploration and scale development. Frontiers in Psychology. 14. 1112127–1112127. 2 indexed citations

Yang, Miao & JuHee Lee. (2021). The effect of temple-stay experience motivation on flow and satisfaction : Focused on the moderating role of self-efficacy. International Journal of Tourism and Hospitality Research. 35(7). 53–67. 1 indexed citations

Kopruszinski, Caroline Machado, Yeon Sun Lee, Edita Navratilova, et al.. (2020). Preclinical Assessment of the Analgesic Pharmacology of NKTR-181 in Rodents. Cellular and Molecular Neurobiology. 41(5). 949–960. 8 indexed citations

Hu, Mingxiu, et al.. (2020). Statistical adaptation to oncology drug development evolution. Contemporary Clinical Trials. 99. 106180–106180. 1 indexed citations

Merluzzi, Thomas V., Andrea Chirico, Samantha Serpentini, Miao Yang, & Errol J. Philip. (2019). The role of coping in the relationship between stressful life events and quality of life in persons with cancer. Psychology and Health. 34(4). 497–513. 18 indexed citations

Deng, Lifang, Miao Yang, & Katerina M. Marcoulides. (2018). Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments. Frontiers in Psychology. 9. 580–580. 124 indexed citations

10.

Wang, Lijuan, et al.. (2018). The Impact of Over-Simplifying the Between-Subject Covariance Structure on Inferences of Fixed Effects in Modeling Nested Data. Structural Equation Modeling A Multidisciplinary Journal. 26(1). 1–11. 9 indexed citations

11.

Merluzzi, Thomas V., et al.. (2018). Social relationship coping efficacy: A new construct in understanding social support and close personal relationships in persons with cancer. Psycho-Oncology. 28(1). 85–91. 12 indexed citations

12.

Merluzzi, Thomas V., et al.. (2017). Self-efficacy for coping with cancer: Revision of the Cancer Behavior Inventory (Version 3.0).. Psychological Assessment. 30(4). 486–499. 41 indexed citations

13.

Yang, Miao, et al.. (2017). The Performance of Ten Modified Rescaled Statistics as the Number of Variables Increases. Structural Equation Modeling A Multidisciplinary Journal. 25(3). 414–438. 16 indexed citations

14.

Yuan, Ke‐Hai, et al.. (2017). Mean and Mean-and-Variance Corrections With Big Data. Structural Equation Modeling A Multidisciplinary Journal. 25(2). 214–229. 6 indexed citations

15.

Yang, Miao & Ke‐Hai Yuan. (2016). Robust Methods for Moderation Analysis with a Two-Level Regression Model. Multivariate Behavioral Research. 51(6). 757–771. 13 indexed citations

16.

Yang, Miao, Kalyan Das, & Anandamayee Majumdar. (2016). Analysis of bivariate zero inflated count data with missing responses. Journal of Multivariate Analysis. 148. 73–82. 3 indexed citations

17.

Yang, Miao, Lan Xue, & Lijian Yang. (2016). Variable selection for additive model via cumulative ratios of empirical strengths total. Journal of nonparametric statistics. 28(3). 595–616.

18.

Merluzzi, Thomas V., Errol J. Philip, Miao Yang, & Carolyn A. Heitzmann. (2015). Matching of received social support with need for support in adjusting to cancer and cancer survivorship. Psycho-Oncology. 25(6). 684–690. 45 indexed citations

19.

Yang, Miao. (2014). Review ofMethods of Statistical Model Estimation. Structural Equation Modeling A Multidisciplinary Journal. 22(1). 166–167. 2 indexed citations

20.

Knapp, Steven J., et al.. (1989). Nonparametric confidence interval estimators for heritability and expected selection response.. Genetics. 121(4). 891–898. 48 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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