Wei‐Ming Luh

1.1k total citations
47 papers, 808 citations indexed

About

Wei‐Ming Luh is a scholar working on Statistics and Probability, Management Science and Operations Research and Clinical Psychology. According to data from OpenAlex, Wei‐Ming Luh has authored 47 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 6 papers in Clinical Psychology. Recurrent topics in Wei‐Ming Luh's work include Statistical Methods in Clinical Trials (18 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (14 papers). Wei‐Ming Luh is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (14 papers). Wei‐Ming Luh collaborates with scholars based in Taiwan, United States and Hong Kong. Wei‐Ming Luh's co-authors include Yue Leon Guo, Yawen Cheng, Chung‐Ying Lin, Paula J. Schwanenflugel, Ai-Lun Yang, Chia-Ting Su, Hui‐Ing Ma, Chung‐Ping Cheng, Jung‐Der Wang and Su‐I Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Methods and Quality of Life Research.

In The Last Decade

Wei‐Ming Luh

43 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Ming Luh Taiwan 13 197 163 137 118 105 47 808
Veronica T. Cole United States 15 92 0.5× 204 1.3× 76 0.6× 274 2.3× 118 1.1× 40 811
John C. Caruso United States 15 97 0.5× 153 0.9× 75 0.5× 276 2.3× 81 0.8× 32 950
Mauricio Garnier‐Villarreal United States 18 110 0.6× 130 0.8× 57 0.4× 273 2.3× 123 1.2× 71 879
Melissa A. Rodgers United States 11 149 0.8× 131 0.8× 75 0.5× 167 1.4× 100 1.0× 24 866
Mariya Shiyko United States 17 111 0.6× 126 0.8× 100 0.7× 213 1.8× 77 0.7× 38 971
Ida Marais Australia 12 99 0.5× 100 0.6× 42 0.3× 148 1.3× 65 0.6× 34 702
Simon Grund Germany 16 64 0.3× 133 0.8× 193 1.4× 123 1.0× 93 0.9× 31 814
Kelli J. Klebe United States 17 113 0.6× 144 0.9× 52 0.4× 403 3.4× 197 1.9× 27 948
Oscar González United States 16 75 0.4× 172 1.1× 96 0.7× 325 2.8× 74 0.7× 45 785

Countries citing papers authored by Wei‐Ming Luh

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ming Luh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ming Luh. 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 Wei‐Ming Luh. The network helps show where Wei‐Ming Luh may publish in the future.

Co-authorship network of co-authors of Wei‐Ming Luh

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Ming Luh. A scholar is included among the top collaborators of Wei‐Ming Luh 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 Wei‐Ming Luh. Wei‐Ming Luh 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.
2.
Luh, Wei‐Ming. (2022). Probabilistic thinking is the name of the game: Integrating test and confidence intervals to plan sample sizes. Methodology. 18(2). 80–98. 2 indexed citations
3.
Luh, Wei‐Ming, et al.. (2015). Sample size planning for the noninferiority or equivalence of a linear contrast with cost considerations.. Psychological Methods. 21(1). 13–34. 6 indexed citations
4.
Lin, Chung‐Ying, Wei‐Ming Luh, Chung‐Ping Cheng, et al.. (2012). Measurement Equivalence across Child Self-Reports and Parent-Proxy Reports in the Chinese Version of the Pediatric Quality of Life Inventory Version 4.0. Child Psychiatry & Human Development. 44(5). 583–590. 71 indexed citations
5.
Lin, Chung‐Ying, Wei‐Ming Luh, Ai-Lun Yang, et al.. (2011). Psychometric properties and gender invariance of the Chinese version of the self-report pediatric quality of life inventory version 4.0: short form is acceptable. Quality of Life Research. 21(1). 177–182. 67 indexed citations
6.
Mills, Laura, Robert A. Cribbie, & Wei‐Ming Luh. (2009). A Heteroscedastic, Rank-Based Approach for Analyzing 2 x 2 Independent Groups Designs. Journal of Modern Applied Statistical Methods. 8(1). 322–336. 2 indexed citations
7.
Luh, Wei‐Ming, et al.. (2009). The Effect of Interpersonal Relationships on Psychosomatic Symptoms: Moderating Role of Gender.. US-China education review. 6(6). 53–63. 2 indexed citations
8.
Tseng, Hung Fu, et al.. (2009). Factors Related to Depression During Menopause. Journal of Nursing Research. 17(2). 128–135. 17 indexed citations
9.
Luh, Wei‐Ming, et al.. (2008). Optimum sample size allocation to minimize cost or maximize power for the two‐sample trimmed mean test. British Journal of Mathematical and Statistical Psychology. 62(2). 283–298. 14 indexed citations
10.
Hou, Su‐I & Wei‐Ming Luh. (2007). The structure of a web-based HIV testing belief inventory (wHITBI) for college students: The evidence of construct validation. Medical Informatics and the Internet in Medicine. 32(2). 83–92. 11 indexed citations
11.
Luh, Wei‐Ming, et al.. (2006). Approximate sample size formulas for the two‐sample trimmed mean test with unequal variances. British Journal of Mathematical and Statistical Psychology. 60(1). 137–146. 13 indexed citations
12.
Hou, Su‐I & Wei‐Ming Luh. (2005). Psychometric Properties of the Cervical Smear Belief Inventory for Chinese Women. International Journal of Behavioral Medicine. 12(3). 180–191. 5 indexed citations
13.
Cheng, Yawen, Wei‐Ming Luh, & Yue Leon Guo. (2003). Reliability and validity of the chinese version of the job content questionnaire in Taiwanese workers. International Journal of Behavioral Medicine. 10(1). 15–30. 165 indexed citations
14.
15.
Luh, Wei‐Ming, et al.. (2001). Transformation works for non‐normality? On one‐sample transformation trimmed t methods. British Journal of Mathematical and Statistical Psychology. 54(2). 227–236. 3 indexed citations
16.
Luh, Wei‐Ming, et al.. (2000). Approximate transformation trimmed mean methods to the test of simple linear regression slope equality. Journal of Applied Statistics. 27(7). 843–857. 6 indexed citations
17.
Luh, Wei‐Ming, et al.. (2000). Johnson's transformation two-sample trimmed t and its bootstrap method for heterogeneity and non-normality. Journal of Applied Statistics. 27(8). 965–973. 8 indexed citations
18.
Luh, Wei‐Ming. (1999). Developing Trimmed Mean Test Statistics for Two-Way Fixed-Effects ANOVA Models Under Variance Heterogeneity and Nonnormality. The Journal of Experimental Education. 67(3). 243–264. 9 indexed citations
19.
Schwanenflugel, Paula J., et al.. (1992). Context availability and the recall of abstract and concrete words. Memory & Cognition. 20(1). 96–104. 147 indexed citations
20.
Luh, Wei‐Ming, et al.. (1991). Psychometric properties of the Wilson Stress Profile for Teachers.. Journal of social behavior and personality. 6(2). 255–270. 6 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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