Keke Lai

1.2k total citations · 1 hit paper
25 papers, 812 citations indexed

About

Keke Lai is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Keke Lai has authored 25 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 16 papers in Statistics and Probability and 6 papers in Computer Networks and Communications. Recurrent topics in Keke Lai's work include Psychometric Methodologies and Testing (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Modeling Techniques (6 papers). Keke Lai is often cited by papers focused on Psychometric Methodologies and Testing (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Modeling Techniques (6 papers). Keke Lai collaborates with scholars based in United States and Dominican Republic. Keke Lai's co-authors include Samuel B. Green, Ken Kelley, Zhiyong Zhang, Xin Tong, Zhenqiu Lu, Sarah Depaoli, Kiero Guerra-Peña, Sonja D. Winter, Roy Levy and Xiaoguang Zhang and has published in prestigious journals such as Psychological Methods, Psychometrika and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Keke Lai

25 papers receiving 801 citations

Hit Papers

The Problem with Having Two Watches: Assessment of Fit Wh... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keke Lai United States 12 170 167 122 121 117 25 812
Phill Gagné United States 10 153 0.9× 135 0.8× 115 0.9× 97 0.8× 67 0.6× 20 775
Taehun Lee United States 4 166 1.0× 212 1.3× 100 0.8× 71 0.6× 51 0.4× 7 752
Milica Miočević United States 13 137 0.8× 157 0.9× 81 0.7× 102 0.8× 203 1.7× 34 878
Amery D. Wu Canada 15 232 1.4× 241 1.4× 199 1.6× 98 0.8× 61 0.5× 37 1.1k
Mariëlle Zondervan‐Zwijnenburg Netherlands 13 143 0.8× 177 1.1× 94 0.8× 109 0.9× 161 1.4× 23 796
Pat Dugard United Kingdom 16 182 1.1× 227 1.4× 130 1.1× 54 0.4× 56 0.5× 29 1.1k
David Goretzko Germany 10 113 0.7× 100 0.6× 99 0.8× 90 0.7× 37 0.3× 27 692
Michele F. Zimowski United States 6 155 0.9× 204 1.2× 142 1.2× 134 1.1× 129 1.1× 14 996
Oscar González United States 16 172 1.0× 325 1.9× 74 0.6× 65 0.5× 96 0.8× 45 785
Axel Mayer Germany 18 311 1.8× 298 1.8× 171 1.4× 122 1.0× 167 1.4× 67 1.2k

Countries citing papers authored by Keke Lai

Since Specialization
Citations

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

Fields of papers citing papers by Keke Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keke Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Keke Lai. A scholar is included among the top collaborators of Keke Lai 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 Keke Lai. Keke Lai 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.
Lai, Keke. (2024). On Selecting Indicators for SEM Models: Trade-Offs Among Variable Type, Quantity, and Quality. Structural Equation Modeling A Multidisciplinary Journal. 32(3). 415–436. 1 indexed citations
2.
Lai, Keke. (2024). On the Estimation of Fit Indices for the Structural Part of a Model. Structural Equation Modeling A Multidisciplinary Journal. 31(6). 1065–1082. 1 indexed citations
3.
Lai, Keke, et al.. (2023). Reflecting on the “Robust” Standard Errors for Two-Stage SEM Estimation With Categorical Data: Mistakes and Correction. Structural Equation Modeling A Multidisciplinary Journal. 30(5). 691–707. 1 indexed citations
4.
Lai, Keke. (2020). Using Information Criteria Under Missing Data: Full Information Maximum Likelihood Versus Two-Stage Estimation. Structural Equation Modeling A Multidisciplinary Journal. 28(2). 278–291. 8 indexed citations
5.
Lai, Keke. (2020). Fit Difference Between Nonnested Models Given Categorical Data: Measures and Estimation. Structural Equation Modeling A Multidisciplinary Journal. 28(1). 99–120. 19 indexed citations
6.
Depaoli, Sarah, Sonja D. Winter, Keke Lai, & Kiero Guerra-Peña. (2019). Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration. Multivariate Behavioral Research. 54(6). 795–821. 19 indexed citations
7.
Lai, Keke. (2019). Creating Misspecified Models in Moment Structure Analysis. Psychometrika. 84(3). 781–801. 4 indexed citations
8.
Lai, Keke. (2019). A Simple Analytic Confidence Interval for CFI Given Nonnormal Data. Structural Equation Modeling A Multidisciplinary Journal. 26(5). 757–777. 13 indexed citations
9.
Lai, Keke. (2019). Better Confidence Intervals for RMSEA in Growth Models given Nonnormal Data. Structural Equation Modeling A Multidisciplinary Journal. 27(2). 255–274. 7 indexed citations
10.
Lai, Keke. (2018). More Robust Standard Error and Confidence Interval for SEM Parameters Given Incorrect Model and Nonnormal Data. Structural Equation Modeling A Multidisciplinary Journal. 26(2). 260–279. 15 indexed citations
11.
Lai, Keke. (2018). Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model: Methods and Comparison. Structural Equation Modeling A Multidisciplinary Journal. 25(4). 600–620. 123 indexed citations
12.
Lai, Keke, Samuel B. Green, & Roy Levy. (2017). Graphical Displays for Understanding SEM Model Similarity. Structural Equation Modeling A Multidisciplinary Journal. 24(6). 803–818. 8 indexed citations
13.
Lai, Keke & Samuel B. Green. (2016). The Problem with Having Two Watches: Assessment of Fit When RMSEA and CFI Disagree. Multivariate Behavioral Research. 51(2-3). 220–239. 339 indexed citations breakdown →
14.
Lai, Keke, Samuel B. Green, Roy Levy, et al.. (2016). Assessing Model Similarity in Structural Equation Modeling. Structural Equation Modeling A Multidisciplinary Journal. 23(4). 491–506. 3 indexed citations
15.
Zhang, Zhiyong, Keke Lai, Zhenqiu Lu, & Xin Tong. (2013). Bayesian Inference and Application of Robust Growth Curve Models Using Student'stDistribution. Structural Equation Modeling A Multidisciplinary Journal. 20(1). 47–78. 37 indexed citations
16.
Kelley, Ken & Keke Lai. (2011). Accuracy in Parameter Estimation for the Root Mean Square Error of Approximation: Sample Size Planning for Narrow Confidence Intervals. Multivariate Behavioral Research. 46(1). 1–32. 99 indexed citations
17.
Lai, Keke & Ken Kelley. (2011). Accuracy in parameter estimation for ANCOVA and ANOVA contrasts: Sample size planning via narrow confidence intervals. British Journal of Mathematical and Statistical Psychology. 65(2). 350–370. 25 indexed citations
18.
Lai, Keke & Ken Kelley. (2011). Accuracy in parameter estimation for targeted effects in structural equation modeling: Sample size planning for narrow confidence intervals.. Psychological Methods. 16(2). 127–148. 33 indexed citations
19.
Lai, Keke. (2011). Abstract: Sample Size Planning for Latent Curve Models. Multivariate Behavioral Research. 46(6). 1013–1013. 1 indexed citations
20.
Kelley, Ken, et al.. (2007). A Best Practice for Research. Microorganisms. 12(11). 18 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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