Sik‐Yum Lee

5.8k total citations · 1 hit paper
139 papers, 4.2k citations indexed

About

Sik‐Yum Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sik‐Yum Lee has authored 139 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Statistics and Probability, 42 papers in Artificial Intelligence and 34 papers in Management Science and Operations Research. Recurrent topics in Sik‐Yum Lee's work include Statistical Methods and Bayesian Inference (69 papers), Advanced Statistical Methods and Models (60 papers) and Statistical Methods and Inference (37 papers). Sik‐Yum Lee is often cited by papers focused on Statistical Methods and Bayesian Inference (69 papers), Advanced Statistical Methods and Models (60 papers) and Statistical Methods and Inference (37 papers). Sik‐Yum Lee collaborates with scholars based in Hong Kong, United States and China. Sik‐Yum Lee's co-authors include Xinyuan Song, Wai‐Yin Poon, Peter M. Bentler, Xinyuan Song, Wenyang Zhang, Hongtu Zhu, Niansheng Tang, Liang Xu, P. M. Bentler and Kwok‐Leung Tsui and has published in prestigious journals such as Biometrika, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Sik‐Yum Lee

137 papers receiving 3.9k citations

Hit Papers

Structural Equation Modeling 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sik‐Yum Lee Hong Kong 34 2.3k 974 805 346 289 139 4.2k
Shelby J. Haberman United States 34 1.8k 0.8× 648 0.7× 1.4k 1.7× 680 2.0× 271 0.9× 187 4.7k
David J. Bartholomew United Kingdom 27 1.1k 0.5× 751 0.8× 1.0k 1.3× 442 1.3× 445 1.5× 83 5.5k
Herbert Hoijtink Netherlands 32 1.1k 0.5× 432 0.4× 624 0.8× 242 0.7× 529 1.8× 121 3.3k
Irini Moustaki United Kingdom 23 877 0.4× 443 0.5× 562 0.7× 291 0.8× 212 0.7× 67 2.9k
Erling B. Andersen Denmark 19 1.1k 0.5× 390 0.4× 976 1.2× 476 1.4× 446 1.5× 38 5.3k
Gerhard Tutz Germany 30 1.9k 0.8× 902 0.9× 578 0.7× 209 0.6× 142 0.5× 169 4.3k
Jean‐Paul Fox Netherlands 27 995 0.4× 324 0.3× 1.1k 1.4× 527 1.5× 447 1.5× 80 3.0k
Donald W. Zimmerman Canada 30 739 0.3× 297 0.3× 617 0.8× 232 0.7× 306 1.1× 161 3.7k
Norman Cliff United States 26 558 0.2× 408 0.4× 571 0.7× 414 1.2× 467 1.6× 89 4.3k
Robert K. Tsutakawa United States 22 1.1k 0.5× 319 0.3× 577 0.7× 190 0.5× 85 0.3× 51 2.9k

Countries citing papers authored by Sik‐Yum Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sik‐Yum Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sik‐Yum Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sik‐Yum Lee. A scholar is included among the top collaborators of Sik‐Yum 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 Sik‐Yum Lee. Sik‐Yum 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.
Song, Xinyuan & Sik‐Yum Lee. (2012). Basic and Advanced Bayesian Structural Equation Modeling. Wiley series in probability and statistics. 93 indexed citations
2.
Lee, Sik‐Yum, Xinyuan Song, & Jingheng Cai. (2010). A Bayesian Approach for Nonlinear Structural Equation Models With Dichotomous Variables Using Logit and Probit Links. Structural Equation Modeling A Multidisciplinary Journal. 17(2). 280–302. 27 indexed citations
3.
Zhang, Wenyang & Sik‐Yum Lee. (2009). Nonlinear dynamical structural equation models. Quantitative Finance. 9(3). 305–314. 8 indexed citations
4.
Cai, Jingheng, Sik‐Yum Lee, & Xinyuan Song. (2008). Bayesian analysis of nonlinear structural equation models with mixed continuous, ordered and unordered categorical, and nonignorable missing data. Statistics and Its Interface. 1(1). 99–114. 12 indexed citations
5.
Song, Xinyuan, et al.. (2008). Robust model fitting for the non linear structural equation model under normal theory. British Journal of Mathematical and Statistical Psychology. 62(3). 529–568. 2 indexed citations
6.
Lee, Sik‐Yum, et al.. (2008). Non‐linear structural equation models with correlated continuous and discrete data. British Journal of Mathematical and Statistical Psychology. 62(2). 327–347. 6 indexed citations
7.
Lee, Sik‐Yum. (2007). Structural Equation Modeling. Wiley series in probability and statistics. 452 indexed citations breakdown →
8.
Lee, Sik‐Yum. (2007). Handbook of latent variable and related models. CERN Document Server (European Organization for Nuclear Research). 33 indexed citations
9.
Lee, Sik‐Yum, Wai‐Yin Poon, & Xinyuan Song. (2007). Bayesian analysis of the factor model with finance applications. Quantitative Finance. 7(3). 343–356. 4 indexed citations
10.
Lee, Sik‐Yum, Bin Lu, & Xinyuan Song. (2007). Semiparametric Bayesian analysis of structural equation models with fixed covariates. Statistics in Medicine. 27(13). 2341–2360. 36 indexed citations
11.
Poon, Wai‐Yin, et al.. (2006). Influence analysis for the factor analysis model with ranking data. British Journal of Mathematical and Statistical Psychology. 61(1). 133–161. 7 indexed citations
12.
Zhang, Wenyang, Sik‐Yum Lee, & Xinyuan Song. (2002). Local Polynomial Fitting in Semivarying Coefficient Model. Journal of Multivariate Analysis. 82(1). 166–188. 208 indexed citations
13.
Lee, Sik‐Yum, et al.. (2002). Estimating the covariance function with functional data. British Journal of Mathematical and Statistical Psychology. 55(2). 247–261. 4 indexed citations
14.
Zhang, Wenyang & Sik‐Yum Lee. (2000). Variable Bandwidth Selection in Varying-Coefficient Models. Journal of Multivariate Analysis. 74(1). 116–134. 49 indexed citations
15.
Lee, Sik‐Yum & Hongtu Zhu. (2000). Statistical analysis of nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology. 53(2). 209–232. 74 indexed citations
16.
Lee, Sik‐Yum, Wai‐Yin Poon, & Peter M. Bentler. (1995). A two‐stage estimation of structural equation models with continuous and polytomous variables. British Journal of Mathematical and Statistical Psychology. 48(2). 339–358. 194 indexed citations
17.
Lee, Sik‐Yum & Man‐Lai Tang. (1992). Analysis of structural equation models with Incomplete Polytomous Data. Communication in Statistics- Theory and Methods. 21(1). 213–232. 1 indexed citations
18.
Lee, Sik‐Yum & Kwan‐Moon Leung. (1992). Estimation of multivariate polychoric and polyserial correlations with missing observations. British Journal of Mathematical and Statistical Psychology. 45(2). 225–238. 6 indexed citations
19.
Lee, Sik‐Yum. (1990). Multilevel Analysis of Structural Equation Models. Biometrika. 77(4). 763–763. 2 indexed citations
20.
Poon, Wai‐Yin & Sik‐Yum Lee. (1988). Errata for Maximum Likelihood Estimation of Multivariate Polyserial and Polychoric Correlation Coefficients.. Psychometrika. 53(2). 301.

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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