Wei‐Ming Luh

1.1k citations
47 papers · 816 · h-index 13

Impact in

Papers in

Wei‐Ming Luh

43 papers receiving 779 citations

Peers

Wei‐Ming Luh
Comparison fields: 5 of 108
  • Statistics and Probability 137
  • Experimental and Cognitive Psychology 95
  • Social Psychology 127
  • General Health Professions 125
  • Developmental and Educational Psychology 67
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Citations per field
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Citations per year

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-authors

The 23 scholars most cited alongside Wei‐Ming Luh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei‐Ming Luh Line = papers co-authored together Wei‐Ming Luh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003166
2 1992148
3 201272
4 201169
5 201349
6 201548
7 199933
8 201626
9 200117
10 200917
11 201016
12 200815
13 200613
14 200711
15 200711
16 19999
17 20008
18 20157
19 20087
20
Psychometric properties of the Wilson Stress Profile for Teachers.
19916

About Wei‐Ming Luh

Wei‐Ming Luh is a scholar working on Statistics and Probability, Management Science and Operations Research, Clinical Psychology, Statistics, Probability and Uncertainty and Pediatrics, Perinatology and Child Health, having authored 47 papers that have together received 816 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Methods and Models (14 papers), Optimal Experimental Design Methods (10 papers), Statistical Distribution Estimation and Applications (7 papers), Statistical Methods and Inference (5 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). The work is most often cited by research in Statistics and Probability (137 citations), Experimental and Cognitive Psychology (95 citations), Social Psychology (127 citations), General Health Professions (125 citations) and Developmental and Educational Psychology (67 citations). Wei‐Ming Luh has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Jiin‐Huarng Guo, Yawen Cheng, Yue Leon Guo, Paula J. Schwanenflugel, Chung‐Ying Lin, Ai-Lun Yang, Chia-Ting Su, Hui‐Ing Ma, Chung‐Ping Cheng and Jung‐Der Wang. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, The Journal of Experimental Education, Methodology, Psychological Methods and Journal of Nursing Research.

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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