Yi Mu

10.7k total citations · 5 hit papers
116 papers, 7.3k citations indexed

About

Yi Mu is a scholar working on Infectious Diseases, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Yi Mu has authored 116 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 21 papers in Epidemiology and 16 papers in Artificial Intelligence. Recurrent topics in Yi Mu's work include Cryptography and Data Security (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers) and Genetics and Neurodevelopmental Disorders (13 papers). Yi Mu is often cited by papers focused on Cryptography and Data Security (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers) and Genetics and Neurodevelopmental Disorders (13 papers). Yi Mu collaborates with scholars based in United States, China and Australia. Yi Mu's co-authors include Ghinwa Dumyati, Scott K. Fridkin, L. Clifford McDonald, Monica M. Farley, Zintars G. Beldavs, Lisa G. Winston, Stacy Holzbauer, Jonathan R. Edwards, Erin C. Phipps and Dale N. Gerding and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yi Mu

107 papers receiving 7.1k citations

Hit Papers

Burden of Clostridium difficile Infection in the United ... 2009 2026 2014 2020 2015 2009 2020 2019 2025 500 1000 1.5k 2.0k

Peers

Yi Mu
Preeti Malani United States
Mariska Leeflang Netherlands
Timothy G. Buchman United States
Paul A. Friedman United States
Gary Lee Australia
André Charlett United Kingdom
Sunny H. Wong Hong Kong
Jun Yong Choi South Korea
Preeti Malani United States
Yi Mu
Citations per year, relative to Yi Mu Yi Mu (= 1×) peers Preeti Malani

Countries citing papers authored by Yi Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Mu. A scholar is included among the top collaborators of Yi Mu 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 Yi Mu. Yi Mu 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
2.
Zhan, Cheng, et al.. (2025). Energy Tradeoff-Aware Offloading and Resource Allocation for 3D UAV-MEC Networks. 1–6. 1 indexed citations
3.
Yankey, David, Laurie D. Elam–Evans, Yi Mu, et al.. (2024). Changes in vaccine hesitancy among parents of children aged 6 months – 17 Years, National Immunization Surveys, 2019–2022. Vaccine. 42(20). 125989–125989. 11 indexed citations
4.
Mu, Yi, et al.. (2024). A bibliometric analysis of advances in CO2 reduction technology based on patents. Applied Energy. 382. 125193–125193. 2 indexed citations
5.
Allman, Richard, Yi Mu, Gillian S. Dite, et al.. (2023). Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk. Breast Cancer Research and Treatment. 198(2). 335–347. 11 indexed citations
6.
Rosner, Bernard, Robert J. Glynn, A. Heather Eliassen, et al.. (2022). A Multi-State Survival Model for Time to Breast Cancer Mortality among a Cohort of Initially Disease-Free Women. Cancer Epidemiology Biomarkers & Prevention. 31(8). 1582–1592. 11 indexed citations
7.
Mu, Yi, Isaac See, & Jonathan R. Edwards. (2022). Bayesian model averaging: improved variable selection for matched case-control studies. SHILAP Revista de lepidopterología. 16(2). 13 indexed citations
8.
Abara, Winston E., Julianne Gee, Mark Delorey, et al.. (2021). Expected Rates of Select Adverse Events After Immunization for Coronavirus Disease 2019 Vaccine Safety Monitoring. The Journal of Infectious Diseases. 225(9). 1569–1574. 7 indexed citations
9.
Kourtis, Athena P., Kelly M Hatfield, James Baggs, et al.. (2019). Vital Signs: Epidemiology and Recent Trends in Methicillin-Resistant and in Methicillin-Susceptible Staphylococcus aureus Bloodstream Infections — United States. MMWR Morbidity and Mortality Weekly Report. 68(9). 214–219. 499 indexed citations breakdown →
10.
Novosad, Shannon, Yi Mu, Lisa G. Winston, et al.. (2019). Treatment of Clostridioides difficile Infection and Non-compliance with Treatment Guidelines in Adults in 10 US Geographical Locations, 2013–2015. Journal of General Internal Medicine. 35(2). 412–419. 4 indexed citations
11.
Guh, Alice, Yi Mu, James Baggs, et al.. (2018). Trends in incidence of long-term-care facility onset Clostridium difficile infections in 10 US geographic locations during 2011-2015. American Journal of Infection Control. 46(7). 840–842. 17 indexed citations
12.
Li, Sujuan, Yi Mu, & Mingwu Zhang. (2018). Certificate-based smooth projective hashing and its applications. Int. J. Netw. Secur.. 20. 266–277.
13.
See, Isaac, Paul Wesson, Ghinwa Dumyati, et al.. (2017). Socioeconomic Factors Explain Racial Disparities in Invasive Community-Associated Methicillin-Resistant Staphylococcus aureus Disease Rates. Clinical Infectious Diseases. 64(5). 597–604. 70 indexed citations
14.
Susilo, Willy & Yi Mu. (2012). Information Security and Privacy : 17th Australasian Conference, ACISP 2012, Wollongong, NSW, Australia, July 9-11, 2012. Proceedings. DIAL (Catholic University of Leuven). 3 indexed citations
15.
Hoeffer, Charles A., Randi J. Hagerman, Yi Mu, et al.. (2012). Altered mTOR signaling and enhanced CYFIP2 expression levels in subjects with fragile X syndrome. Genes Brain & Behavior. 11(3). 332–341. 153 indexed citations
16.
Mu, Yi, Jonathan R. Edwards, Teresa Horan, Sandra I. Berríos-Torres, & Scott K. Fridkin. (2011). Improving Risk-Adjusted Measures of Surgical Site Infection for the National Healthcare Safely Network. Infection Control and Hospital Epidemiology. 32(10). 970–986. 305 indexed citations
17.
Lessa, Fernanda C., Yi Mu, John Davies, et al.. (2010). Comparison of Incidence of Bloodstream Infection with Methicillin‐Resistant Staphylococcus aureus between England and United States, 2006–2007. Clinical Infectious Diseases. 51(8). 925–928. 28 indexed citations
18.
Au, Man Ho, Patrick P. Tsang, Willy Susilo, & Yi Mu. (2009). Dynamic universal accumulators for DDH groups and their application to attribute-based anonymous credential systems. Research Online (University of Wollongong). 4 indexed citations
19.
Susilo, Willy, Joseph K. Liu, & Yi Mu. (2007). Provable security : First International Conference, ProvSec 2007, Wollongong, Australia, November 1-2, 2007 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
20.
Desmedt, Yvo, et al.. (2006). Cryptology and Network Security: 4th International Conference, CANS 2005, Xiamen, China, December 14-16, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 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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