Yu-Min Ku

889 citations
21 papers · 569 indexed · h-index 11
Topics
Reading and Literacy Development (15 papers)Second Language Acquisition and Learning (5 papers)Cognitive and developmental aspects of mathematical skills (5 papers)

In The Last Decade

Yu-Min Ku

18 papers receiving 523 citations

Peers

Yu-Min Ku
Comparison fields: 5 of 32
  • Developmental and Educational Psychology 510
  • Education 210
  • Statistics and Probability 170
  • Cognitive Neuroscience 135
  • Language and Linguistics 86
Replace Adrian Pasquarella with:
Adrian Pasquarella Canada
Gloria Ramírez Canada
Miriam Bindman United Kingdom
Judith A. Scott United States
Ian Smythe United Kingdom
Linda Lysynchuk Canada
Marilyn M. Fairbanks United States
Marie Cassar United States
Janina Kahn‐Horwitz Israel
Yanling Zhou Hong Kong
Yu-Min Ku relative to Adrian Pasquarella Canada Adrian Pasquarella's profile →
Citations per field
00.5×1.5×
Adrian Pasquarella · 1×
Citations per year

Countries citing papers authored by Yu-Min Ku

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Min Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Min Ku. 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 Yu-Min Ku. The network helps show where Yu-Min Ku may publish in the future.

Co-authorship network of co-authors of Yu-Min Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Min Ku. A scholar is included among the top collaborators of Yu-Min Ku 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 Yu-Min Ku. Yu-Min Ku 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
#WorkIndexed citations
1 0
2 0
3 3
4 4
5 11
6 11
7 8
8 33
9 6
10 4
11 74
12 11
13 42
14
My-Bookstore: The Design of a Management Game to Promote Classroom Reading Activity
2
15
Designing issues of instructional online note-taking systems in practical approach
0
16 28
17 61
18 233
19 2
20 15

About Yu-Min Ku

Yu-Min Ku is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Linguistics and Language, having authored 21 papers that have together received 569 indexed citations. Recurring topics across this work include Reading and Literacy Development (15 papers), Second Language Acquisition and Learning (5 papers) and Cognitive and developmental aspects of mathematical skills (5 papers). The work is most often cited by research in Developmental and Educational Psychology (510 citations), Statistics and Probability (170 citations) and Linguistics and Language (53 citations). Yu-Min Ku has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Richard C. Anderson, Wenling Li, Xi Chen, Hua Shu, Xinchun Wu, Ningning Wu, Gloria Ramírez, Yang Luo, Esther Geva and Emiko Koyama. Their work appears in journals such as Journal of Educational Psychology, Contemporary Educational Psychology and The Journal of Educational 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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