Shu-Hui Lin

1.2k total citations
29 papers, 789 citations indexed

About

Shu-Hui Lin is a scholar working on Social Psychology, Statistics and Probability and Education. According to data from OpenAlex, Shu-Hui Lin has authored 29 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 10 papers in Statistics and Probability and 6 papers in Education. Recurrent topics in Shu-Hui Lin's work include Advanced Statistical Methods and Models (8 papers), Communication in Education and Healthcare (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Shu-Hui Lin is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Communication in Education and Healthcare (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Shu-Hui Lin collaborates with scholars based in Taiwan, United States and United Kingdom. Shu-Hui Lin's co-authors include Yun‐Chen Huang, Jun‐Yu Fan, Wen‐Chun Liao, Mei‐Yen Chen, Jack C. Lee, Jack C. Lee, Yi‐Li Chuang, Hui‐Sheng Lin, Maxine Weinstein and Noreen Goldman and has published in prestigious journals such as International Journal of Epidemiology, Public Health Nutrition and Applied Mathematics and Computation.

In The Last Decade

Shu-Hui Lin

27 papers receiving 739 citations

Peers

Shu-Hui Lin
Comparison fields: 5 of 112
  • Clinical Psychology 239
  • General Health Professions 236
  • Social Psychology 185
  • Education 142
  • Experimental and Cognitive Psychology 127
Replace Wei‐Ming Luh with:
Wei‐Ming Luh Taiwan
Simon Grund Germany
Veronica T. Cole United States
Oscar González United States
Michele F. Zimowski United States
Ida Marais Australia
Floryt van Wesel Netherlands
Kelly L. Rulison United States
Ítalo Trizano-Hermosilla Chile
Wei‐Ming Luh Taiwan View profile →
Citations per field, relative to Shu-Hui Lin
Shu-Hui Lin · 1×
Citations per year, relative to Shu-Hui Lin
Shu-Hui Lin · 1×

Countries citing papers authored by Shu-Hui Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Hui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Hui Lin. 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 Shu-Hui Lin. The network helps show where Shu-Hui Lin may publish in the future.

Co-authorship network of co-authors of Shu-Hui Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-Hui Lin. A scholar is included among the top collaborators of Shu-Hui Lin 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 Shu-Hui Lin. Shu-Hui Lin 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
# Work Indexed citations
1 0
2 1
3 0
4 4
5 12
6 1
7
Examining Teaching Charisma and Its Relation to Student Engagement
3
8
Assessment of Charisma as a Factor in Effective Teaching
20
9 14
10 38
11 22
12 215
13 11
14 6
15 2
16 17
17 26
18 16
19 22
20
Acculturation of Japanese Americans:: Use of the SL­ASIA with a Community Sample.
5

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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