Sharon Lee

2.0k total citations
59 papers, 1.1k citations indexed

About

Sharon Lee is a scholar working on Artificial Intelligence, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, Sharon Lee has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Statistics and Probability and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Sharon Lee's work include Bayesian Methods and Mixture Models (22 papers), Statistical Distribution Estimation and Applications (16 papers) and Statistical Methods and Bayesian Inference (7 papers). Sharon Lee is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Statistical Distribution Estimation and Applications (16 papers) and Statistical Methods and Bayesian Inference (7 papers). Sharon Lee collaborates with scholars based in Australia, United States and Taiwan. Sharon Lee's co-authors include Geoffrey J. McLachlan, Greg Filbeck, Tsung‐I Lin, Yuping Huang, Lizette Ojeda, Lisa Y. Flores, Jennifer Mankoff, Gary Hsieh, Mark Sadoski and Ernest T. Goetz and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Lightwave Technology.

In The Last Decade

Sharon Lee

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon Lee Australia 16 451 372 102 98 91 59 1.1k
Laura Martignon Germany 21 394 0.9× 220 0.6× 14 0.1× 130 1.3× 33 0.4× 75 1.5k
Gerhard Arminger Germany 16 323 0.7× 476 1.3× 35 0.3× 67 0.7× 147 1.6× 40 1.6k
David K. Hildebrand United States 16 141 0.3× 183 0.5× 20 0.2× 63 0.6× 33 0.4× 34 1.1k
Mark Finster United States 9 81 0.2× 218 0.6× 21 0.2× 38 0.4× 29 0.3× 22 802
Carla Rampichini Italy 14 87 0.2× 298 0.8× 19 0.2× 95 1.0× 17 0.2× 42 767
Tyler H. McCormick United States 19 554 1.2× 119 0.3× 14 0.1× 37 0.4× 10 0.1× 64 1.8k
Wai‐Yin Poon Hong Kong 17 170 0.4× 761 2.0× 45 0.4× 72 0.7× 9 0.1× 85 1.3k
Louis W. Glorfeld United States 9 93 0.2× 80 0.2× 28 0.3× 73 0.7× 62 0.7× 18 852
Luca Mari Italy 20 82 0.2× 45 0.1× 36 0.4× 49 0.5× 27 0.3× 81 1.2k
Shizuhiko Nishisato Canada 14 151 0.3× 279 0.8× 33 0.3× 26 0.3× 9 0.1× 45 1.2k

Countries citing papers authored by Sharon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Lee. A scholar is included among the top collaborators of Sharon Lee 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 Sharon Lee. Sharon Lee 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.
Lee, Sharon, et al.. (2024). Towards millimetre-wave spectroscopy of human blood using an open-ended waveguide. Measurement. 240. 115552–115552.
2.
Lee, Sharon, et al.. (2023). Analyzing Equivalency and Accuracy of Three Different Periodontal Probes in Measuring Pocket Depth – An In-Vitro Study. Journal of the California Dental Association. 51(1). 1 indexed citations
3.
Nguyen, Hien D., Sharon Lee, & Florence Forbes. (2022). A Festschrift for Geoff McLachlan. Australian & New Zealand Journal of Statistics. 64(2). 111–116. 1 indexed citations
4.
5.
Lee, Sharon, Tsung‐I Lin, & Geoffrey J. McLachlan. (2020). Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Advances in Data Analysis and Classification. 15(2). 481–512. 7 indexed citations
6.
Lee, Sharon, et al.. (2019). I can Probably Guess if you are Afraid of Public Speaking (And Spiders). Exploring The Relationships between Fears and Personality Traits; Understanding One from the Other. International Journal of Humanities Social Sciences and Education. 6(12). 1 indexed citations
7.
Lee, Sharon, et al.. (2019). PPEM: Privacy‐preserving EM learning for mixture models. Concurrency and Computation Practice and Experience. 31(24). 3 indexed citations
8.
McLachlan, Geoffrey J., et al.. (2019). Skew-normal Bayesian spatial heterogeneity panel data models. Journal of Applied Statistics. 47(5). 804–826. 1 indexed citations
9.
Lee, Sharon, et al.. (2018). A Block EM Algorithm for Multivariate Skew Normal and Skew <inline-formula> <tex-math notation="LaTeX">$t$ </tex-math> </inline-formula>-Mixture Models. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5581–5591. 9 indexed citations
10.
Pyne, Saumyadipta, et al.. (2016). Partial identification in the statistical matching problem. Computational Statistics & Data Analysis. 104. 79–90. 4 indexed citations
11.
Pyne, Saumyadipta, Sharon Lee, & Geoffrey J. McLachlan. (2015). Nature and man: the goal of bio-security in the course of rapid and inevitable human development. Queensland's institutional digital repository (The University of Queensland). 69(2). 117–125. 3 indexed citations
12.
Lin, Tsung‐I, Geoffrey J. McLachlan, & Sharon Lee. (2015). Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Journal of Multivariate Analysis. 143. 398–413. 45 indexed citations
13.
Pyne, Saumyadipta, Sharon Lee, Jonathan M. Irish, et al.. (2014). Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data. PLoS ONE. 9(7). e100334–e100334. 26 indexed citations
14.
Lee, Sharon, et al.. (2013). Modelling asset return using multivariate asymmetric mixture models with applications to estimation of Value-at-Risk. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 3 indexed citations
15.
Lee, Sharon. (2013). Repealing Classified Boards: What Is the Motivation?. 11(2). 40–49.
16.
Chow, John W., et al.. (2012). The economic costs of sleeping rough: An estimation of the average economic costs of homelessness as measured by utilisation of services over a 12-month period. Parity. 25(6). 37. 2 indexed citations
17.
Lee, Sharon, et al.. (2010). The Haiti Earthquake: Disaster Lessons and Response from an Emergency Medicine Perspective. Western Journal of Emergency Medicine. 11(1). 6 indexed citations
18.
Lee, Sharon. (2008). Board Independence and Firm Performance: Case of Small-Cap Firms. 6(2). 187–195. 2 indexed citations
19.
20.
Mankoff, Jennifer, et al.. (2002). Using Low-Cost Sensing to Support Nutritional Awareness. 371–376. 64 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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