Mingan Yang

1.1k total citations
36 papers, 744 citations indexed

About

Mingan Yang is a scholar working on Statistics and Probability, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Mingan Yang has authored 36 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mingan Yang's work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Mingan Yang is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Mingan Yang collaborates with scholars based in United States, China and Belgium. Mingan Yang's co-authors include David B. Dunson, Yixin Xu, Xuehan Li, Yan Cheng, Guang‐Hui Dong, Donna D. Baird, Timothy Hanson, Qun Xu, Yue Zhou and Xiuhua Si and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Biometrics.

In The Last Decade

Mingan Yang

35 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingan Yang United States 17 174 154 125 107 106 36 744
Jincheng Shen United States 18 133 0.8× 158 1.0× 111 0.9× 24 0.2× 330 3.1× 63 967
Sungduk Kim United States 25 94 0.5× 539 3.5× 214 1.7× 100 0.9× 127 1.2× 90 2.3k
Xiaomei Liao United States 12 46 0.3× 127 0.8× 57 0.5× 24 0.2× 65 0.6× 37 736
Silvia Liverani United Kingdom 19 40 0.2× 229 1.5× 87 0.7× 113 1.1× 122 1.2× 39 976
Walter Schill Germany 12 143 0.8× 215 1.4× 69 0.6× 17 0.2× 156 1.5× 31 890
Barbara Bodinier United Kingdom 16 54 0.3× 174 1.1× 20 0.2× 30 0.3× 145 1.4× 29 1.1k
Thomas Steichen United States 12 62 0.4× 99 0.6× 29 0.2× 16 0.1× 63 0.6× 17 778
A. John Petkau Canada 18 80 0.5× 242 1.6× 165 1.3× 45 0.4× 79 0.7× 39 1.2k
Xu Shi United States 17 101 0.6× 21 0.1× 149 1.2× 36 0.3× 136 1.3× 110 1.8k
Brian Joyce United States 23 77 0.4× 162 1.1× 62 0.5× 14 0.1× 643 6.1× 73 2.1k

Countries citing papers authored by Mingan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingan Yang. A scholar is included among the top collaborators of Mingan 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 Mingan Yang. Mingan Yang 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.
Finlayson, Tracy L., Vanessa L. Malcarne, Guadalupe X. Ayala, et al.. (2025). Development of new bilingual oral health behavior social support (OHBSS) scales in English and Spanish. PLoS ONE. 20(3). e0317133–e0317133.
2.
Zhang, Pei, et al.. (2023). Study on MEV90 of 0.5% ropivacaine for US-guided caudal epidural block in anorectal surgery. Frontiers in Medicine. 9. 1077478–1077478. 4 indexed citations
3.
Zhang, Lihua, Fenghui Yuan, Junhong Bai, et al.. (2020). Phosphorus alleviation of nitrogen‐suppressed methane sink in global grasslands. Ecology Letters. 23(5). 821–830. 29 indexed citations
4.
Xiong, Liu‐Lin, Qiong Zhao, Lu‐Lu Xue, et al.. (2020). Overexpression of miR-124 Protects Against Neurological Dysfunction Induced by Neonatal Hypoxic–Ischemic Brain Injury. Cellular and Molecular Neurobiology. 40(5). 737–750. 23 indexed citations
5.
Brodine, Stephanie K., et al.. (2020). Predictive factors of facilitating linkage to care for HIV-positive detainees in ICE Health Service Corps-staffed facilities. Journal of Public Health. 43(3). 611–617. 2 indexed citations
6.
Zhao, Meiduo, Jing Xu, Ang Li, et al.. (2019). The mediated role of complement C3 in PM2.5 exposure and type 2 diabetes mellitus: an elderly panel study in Beijing, China. Environmental Science and Pollution Research. 26(33). 34479–34486. 4 indexed citations
7.
Liu, Ru-Qing, Michael S. Bloom, Zhengmin Qian, et al.. (2019). Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population. PLoS ONE. 14(12). e0226562–e0226562. 19 indexed citations
8.
Xue, Lu‐Lu, Fang Wang, Liu‐Lin Xiong, et al.. (2019). A single-nucleotide polymorphism induced alternative splicing in Tacr3 involves in hypoxic-ischemic brain damage. Brain Research Bulletin. 154. 106–115. 7 indexed citations
9.
Zhao, Meiduo, et al.. (2019). Associations of ambient fine particulate matter and its constituents with serum complement C3 in a panel study of older adults in China. Environmental Pollution. 252(Pt B). 1019–1025. 18 indexed citations
10.
Yang, Mingan, Min Wang, & Guang‐Hui Dong. (2019). Bayesian variable selection for mixed effects model with shrinkage prior. Computational Statistics. 35(1). 227–243. 9 indexed citations
11.
Lam, Samuel H. F., Adam Sivitz, Kiyetta Alade, et al.. (2018). Comparison of Ultrasound Guidance vs. Clinical Assessment Alone for Management of Pediatric Skin and Soft Tissue Infections. Journal of Emergency Medicine. 55(5). 693–701. 18 indexed citations
12.
Yang, Mingan. (2018). Assessment of Noninferiority (and Equivalence) for Simple Crossover Trials Using Bayesian Approach. Statistics in Biosciences. 10(3). 506–519. 1 indexed citations
13.
Leung, Ricky, Shao Lin, Mingan Yang, et al.. (2016). Attitudes towards suicide in urban and rural China: a population based, cross-sectional study. BMC Psychiatry. 16(1). 162–162. 25 indexed citations
14.
Dong, Guang‐Hui, Jing Wang, Xiao‐Wen Zeng, et al.. (2015). Interactions Between Air Pollution and Obesity on Blood Pressure and Hypertension in Chinese Children. Epidemiology. 26(5). 740–747. 75 indexed citations
15.
16.
Yang, Mingan, Lihua Chen, & Guang‐Hui Dong. (2014). Semiparametric Bayesian accelerated failure time model with interval-censored data. Journal of Statistical Computation and Simulation. 85(10). 2049–2058. 1 indexed citations
17.
Guo, Wenge, et al.. (2012). Analysis of high dimensional data using pre-defined set and subset information, with applications to genomic data. BMC Bioinformatics. 13(1). 177–177. 2 indexed citations
18.
Dong, Guang‐Hui, Da Wang, Miao Liu, et al.. (2012). Sex difference of the prevalence and risk factors associated with prehypertension among urban Chinese adults from 33 communities of China. Journal of Hypertension. 30(3). 485–491. 20 indexed citations
19.
Yang, Mingan, David B. Dunson, & Donna D. Baird. (2010). Semiparametric Bayes hierarchical models with mean and variance constraints. Computational Statistics & Data Analysis. 54(9). 2172–2186. 42 indexed citations
20.
Hanson, Timothy & Mingan Yang. (2006). Bayesian Semiparametric Proportional Odds Models. Biometrics. 63(1). 88–95. 22 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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